James G. Omichinski

6.1k citations
106 papers · 4.8k indexed · h-index 38
    • RNA modifications and cancer 20
    • RNA and protein synthesis mechanisms 19
    • Genomics and Chromatin Dynamics 18
    • RNA Research and Splicing 16
    • Ubiquitin and proteasome pathways 9
    • DNA and Nucleic Acid Chemistry 8
  • Oncology top 5%
    • Cancer-related Molecular Pathways 11
    • Carcinogens and Genotoxicity Assessment 12
  • Virology top 5%

James G. Omichinski

106 papers receiving 4.7k citations

Peers

James G. Omichinski
Comparison fields: 5 of 126
  • Molecular Biology 3.7k
  • Spectroscopy 490
  • Oncology 806
  • Cancer Research 377
  • Virology 117
Replace Thomas D. Tullius with:
Thomas D. Tullius United States
Eiko Ohtsuka Japan
Mark G. Hinds Australia
Elizabeth A. Komives United States
H.D. Bartunik Germany
Bi‐Cheng Wang China
Raymond C. Trievel United States
George E. Tarr United States
Colin B. Reese United Kingdom
Nobutoshi Ito Japan
James G. Omichinski relative to Thomas D. Tullius United States Thomas D. Tullius's profile →
Citations per field
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Thomas D. Tullius · 1×
Citations per year

Countries citing papers authored by James G. Omichinski

Since Specialization
Citations

This map shows the geographic impact of James G. Omichinski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James G. Omichinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James G. Omichinski more than expected).

Fields of papers citing papers by James G. Omichinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James G. Omichinski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James G. Omichinski. The network helps show where James G. Omichinski may publish in the future.

Co-authorship network

The 25 scholars most cited alongside James G. Omichinski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James G. Omichinski Line = papers co-authored together James G. Omichinski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20231
3 20228
4 202117
5 20211
6 202013
7 20193
8 201713
9 201742
10 20155
11 201430
12 201323
13 201130
14 200430
15 1996193
16 1995187
17 199483
18 199142
19 1990119
20 198927

About James G. Omichinski

James G. Omichinski is a scholar working on Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis, having authored 106 papers that have together received 4.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (20 papers), RNA and protein synthesis mechanisms (19 papers), Genomics and Chromatin Dynamics (18 papers), RNA Research and Splicing (16 papers), Carcinogens and Genotoxicity Assessment (12 papers), Cancer-related Molecular Pathways (11 papers), Ubiquitin and proteasome pathways (9 papers) and DNA and Nucleic Acid Chemistry (8 papers). The work is most often cited by research in Molecular Biology (3.7k citations), Spectroscopy (490 citations) and Oncology (806 citations). James G. Omichinski has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Angela M. Gronenborn, G. Marius Clore, Ettore Appella, Gary Felsenfeld, Kazuyasu Sakaguchi, Pascale Legault, Cecelia D. Trainor, Ad Bax, Paola Di Lello and Nico Tjandra. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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