I don't think that any of them is more interesting than the others. They are different approaches and they produce different information. They have their strengths and limitations and in the best case they are complementary approaches. For example, if you are looking for copy number variation (CNV) probably the right approach is genomics (genome resequencing), especially if you don't know if the different copies are expressed. For other hand if you are looking for changes in the gene dosage you need to use transcriptomics.
Every field of study has its own importance. It depends on your own interests and skills in the subject in which you are expert. So, you will feel comfortable with that branch of study and automatically it will become interesting for you.
As far as my own interest is concerned I by myself is interested in Genomics. The reason is that this field have given many ways of solving problems in Biological sciences that include medical, Agriculture and Animal Sciences. Now it have provided the opportunity in solving genetic problems even in Human beings when newly born babies having some genetic disorders or chromosome abnormalities. But still research is needed to achieve the goals in this field. As application and authentication of results is still not fully achieved and need time. But other fields like proteomics and transcriptiomics have their own importance and can provide a gate way to solve many problems and mysteries in Science.
Individually, they are all kinda interesting. But when you combine them into Systems Biology, THAT is where it gets interesting. Trying to make sense of the complexity will keep many of us occupied for a VERY long time.
No longer separate fields. All integrated, therefore necessary to study simultaneously.
These are pretty loose terms. Genomics refers to any study related to a genome. I hear most people use the term genomics also to cover transcriptomics. So I don't think you can separate transcriptomics from genomics as it is an important aspect of studying a genome. Proteomics is a little more distinctive, however, as Paola pointed out you cannot totally separate it from genomics either. As to which one is more interesting, I would say they are equally interesting as they deal with different aspects of the same thing.
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