Michael B. O’Connor

21.2k citations
205 papers · 16.6k indexed · 3 hit papers · h-index 72

Michael B. O’Connor

203 papers receiving 16.4k citations

Hit Papers

Ecdysone Control of Developmental Trans...48419962026200620164008001.2k

Peers

Michael B. O’Connor
Comparison fields: 5 of 147
  • Aging 768
  • Cellular and Molecular Neuroscience 5.4k
  • Molecular Biology 11.2k
  • Insect Science 1.7k
  • Cell Biology 2.0k
Replace Andrea H. Brand with:
Andrea H. Brand United Kingdom
Bruce A. Edgar United States
Hermann Steller United States
Herbert Jäckle Germany
Julian A. T. Dow United Kingdom
S Lawrence Zipursky United States
Ruth Lehmann United States
Konrad Basler Switzerland
Allan C. Spradling United States
Ethan Bier United States
Michael B. O’Connor relative to Andrea H. Brand United Kingdom Andrea H. Brand's profile →
Citations per field
00.5×1.5×2.3×
Andrea H. Brand · 1×
Citations per year

Countries citing papers authored by Michael B. O’Connor

Since Specialization
Citations

This map shows the geographic impact of Michael B. O’Connor'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 Michael B. O’Connor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael B. O’Connor more than expected).

Fields of papers citing papers by Michael B. O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael B. O’Connor. 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 Michael B. O’Connor. The network helps show where Michael B. O’Connor may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Michael B. O’Connor, 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 Michael B. O’Connor Line = papers co-authored together Michael B. O’Connor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 202015
3 201921
4 201419
5 201385
6 201337
7 201112
8 2009257
9 2009140
10 200735
11 200772
12 200524
13 200491
14 200393
15 200331
16 2000116
17 200055
18 1997170
19 1997100
20 1995241

About Michael B. O’Connor

Michael B. O’Connor is a scholar working on Aging, Cellular and Molecular Neuroscience, Molecular Biology, Genetics and Cell Biology, having authored 205 papers that have together received 16.6k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (64 papers), Developmental Biology and Gene Regulation (62 papers), TGF-β signaling in diseases (47 papers), RNA and protein synthesis mechanisms (38 papers), RNA modifications and cancer (29 papers), Bacterial Genetics and Biotechnology (22 papers), Animal Behavior and Reproduction (17 papers) and Physiological and biochemical adaptations (16 papers). The work is most often cited by research in Aging (768 citations), Cellular and Molecular Neuroscience (5.4k citations), Molecular Biology (11.2k citations), Insect Science (1.7k citations) and Cell Biology (2.0k citations). Michael B. O’Connor has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Kim Rewitz, Naoki Yamanaka, Guillermo Marqués, Lawrence I. Gilbert, Mary Jane Shimell, David M. Umulis, James T. Warren, Jeffrey L. Wrana, Jeffrey A. Simon and Albert E. Dahĺberg. Their work appears in journals such as Development, Cell, Developmental Biology, Proceedings of the National Academy of Sciences and Journal of Molecular Biology.

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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