M. O'Connell

15 papers receiving 1.1k citations

Peers

M. O'Connell
Comparison fields: 5 of 104
  • Endocrine and Autonomic Systems 67
  • Cell Biology 161
  • Cancer Research 136
  • Molecular Biology 645
  • Endocrinology, Diabetes and Metabolism 144
Replace Gilles M. Leclerc with:
Gilles M. Leclerc United States
Constance Chen United States
Yugong Ho United States
Minoru Asada Japan
Louis H. Ferland United States
Sang Y. Chun United States
Andrea Flynn United Kingdom
Melanie C MacNicol United States
Ayumi Kitano United States
Maya Arai United States
M. O'Connell relative to Gilles M. Leclerc United States Gilles M. Leclerc's profile →
Citations per field
00.5×4.2×
Gilles M. Leclerc · 1×
Citations per year

Countries citing papers authored by M. O'Connell

Since Specialization
Citations

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

Fields of papers citing papers by M. O'Connell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. O'Connell. 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 M. O'Connell. The network helps show where M. O'Connell may publish in the future.

Co-authors

The 25 scholars most cited alongside M. O'Connell, 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 M. O'Connell Line = papers co-authored together M. O'Connell links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1979246
2 1989219
3 1992200
4 1995146
5 199297
6 198768
7 198762
8 199651
9 199345
10 199434
11 199721
12 198411
13 20149
14 19961
15 20221
16 19801

About M. O'Connell

M. O'Connell is a scholar working on Molecular Biology, Physiology, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Hematology, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Diet and metabolism studies (3 papers), Muscle metabolism and nutrition (2 papers), Protease and Inhibitor Mechanisms (2 papers), Thyroid Disorders and Treatments (2 papers), Cancer-related gene regulation (2 papers), Developmental Biology and Gene Regulation (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (67 citations), Cell Biology (161 citations), Cancer Research (136 citations), Molecular Biology (645 citations) and Endocrinology, Diabetes and Metabolism (144 citations). M. O'Connell has collaborated with scholars based in United States, Switzerland and Russia. Frequent co-authors include Sidney Strickland, E. Danforth, Andrew L. Darrow, Dominique Belin, Pascale Gubler, J Huarte, Rita Canipari, Edward S. Horton, Lewis E. Braverman and Ethan A.H. Sims. Their work appears in journals such as Metabolism, Genes & Development, American Journal of Physiology-Endocrinology and Metabolism, Journal of Biological Chemistry and CA A Cancer Journal for Clinicians.

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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