Shawn M. O’Connell
Impact in
- Behavioral Neuroscience top 1%
- Stress Responses and Cortisol
-
- Growth Hormone and Insulin-like Growth Factors
Papers in
- Aging 1
- Co-authors
- Michael G. RosenfeldAimee K. RyanDaniel P. SzetoAnatoli S. GleibermanMathias TreierChia-Ping ChangRichard V. PearseJeremy S. Dasen
- Journals
- Bioorganic & Medicinal Chemistry Letters (8 papers)Genes & Development (3 papers)Proceedings of the National Academy of Sciences (3 papers)ACS Medicinal Chemistry Letters (2 papers)Nature (2 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Shawn M. O’Connell
31 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Behavioral Neuroscience 374
- Endocrinology, Diabetes and Metabolism 1.4k
- Aging 99
- Developmental Neuroscience 231
- Sensory Systems 245
Countries citing papers authored by Shawn M. O’Connell
This map shows the geographic impact of Shawn 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 Shawn 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 Shawn M. O’Connell more than expected).
Fields of papers citing papers by Shawn M. O’Connell
This network shows the impact of papers produced by Shawn 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 Shawn M. O’Connell. The network helps show where Shawn M. O’Connell may publish in the future.
Co-authors
The 25 scholars most cited alongside Shawn 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 28 | |
| 2 | 2018 | 7 | |
| 3 | 2018 | 32 | |
| 4 | 2014 | 21 | |
| 5 | 2013 | 28 | |
| 6 | 2012 | 15 | |
| 7 | 2012 | 2 | |
| 8 | 2011 | 93 | |
| 9 | 2010 | 51 | |
| 10 | 2010 | 47 | |
| 11 | 2010 | 213 | |
| 12 | 2002 | 36 | |
| 13 | 2000 | 133 | |
| 14 | 1999 | 246 | |
| 15 | 1998 | 382 | |
| 16 | 1996 | 59 | |
| 17 | Pituitary lineage determination by the Prophet of Pit-1 homeodomain factor defective in Ames dwarfism Hit paper breakdown → | 1996 | 615 |
| 18 | 1996 | 428 | |
| 19 | 1995 | 242 | |
| 20 | 1993 | 458 |
About Shawn M. O’Connell
Shawn M. O’Connell is a scholar working on Aging, Developmental Neuroscience, Endocrinology, Diabetes and Metabolism, Molecular Biology and Endocrine and Autonomic Systems, having authored 32 papers that have together received 4.7k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Epigenetics and DNA Methylation (5 papers), Melanoma and MAPK Pathways (5 papers), Protein Degradation and Inhibitors (4 papers), Cancer Mechanisms and Therapy (3 papers), Hedgehog Signaling Pathway Studies (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Behavioral Neuroscience (374 citations), Endocrinology, Diabetes and Metabolism (1.4k citations), Aging (99 citations), Developmental Neuroscience (231 citations) and Sensory Systems (245 citations). Shawn M. O’Connell has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Michael G. Rosenfeld, Aimee K. Ryan, Daniel P. Szeto, Anatoli S. Gleiberman, Mathias Treier, Chia-Ping Chang, Richard V. Pearse, Jeremy S. Dasen, Robert J. McEvilly and Sarah E. Flynn. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Genes & Development, Proceedings of the National Academy of Sciences, ACS Medicinal Chemistry Letters and Nature.
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.