Michael B. O’Connor
- Aging top 0.2%
- Cellular and Molecular Neuroscience top 0.1%
- Neurobiology and Insect Physiology Research 64
- Molecular Biology top 0.2%
- Developmental Biology and Gene Regulation 62
- TGF-β signaling in diseases 47
- RNA and protein synthesis mechanisms 38
- RNA modifications and cancer 29
- Insect Science top 0.2%
- Cell Biology top 0.5%
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- Bacterial Genetics and Biotechnology 22
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- Animal Behavior and Reproduction 17
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- Physiological and biochemical adaptations 16
- Co-authors
- Kim RewitzNaoki YamanakaGuillermo MarquésLawrence I. GilbertMary Jane ShimellDavid M. UmulisJames T. WarrenJeffrey L. Wrana
- Partner nations
- United StatesFranceJapan
In The Last Decade
Michael B. O’Connor
203 papers receiving 16.4k citations
Hit Papers
Peers
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
Countries citing papers authored by Michael B. O’Connor
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2020 | 15 | |
| 3 | 2019 | 21 | |
| 4 | 2014 | 19 | |
| 5 | 2013 | 85 | |
| 6 | 2013 | 37 | |
| 7 | 2011 | 12 | |
| 8 | 2009 | 257 | |
| 9 | 2009 | 140 | |
| 10 | 2007 | 35 | |
| 11 | 2007 | 72 | |
| 12 | 2005 | 24 | |
| 13 | 2004 | 91 | |
| 14 | 2003 | 93 | |
| 15 | 2003 | 31 | |
| 16 | 2000 | 116 | |
| 17 | 2000 | 55 | |
| 18 | 1997 | 170 | |
| 19 | 1997 | 100 | |
| 20 | 1995 | 241 |
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.