Philip A. Gruppuso
- Hepatology top 2%
- Liver physiology and pathology 19
- Obstetrics and Gynecology top 2%
- Speech and Hearing top 2%
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- Birth, Development, and Health 16
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- Pancreatic function and diabetes 21
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- PI3K/AKT/mTOR signaling in cancer 19
- Metabolism, Diabetes, and Cancer 17
- Protein Kinase Regulation and GTPase Signaling 15
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- Innovations in Medical Education 17
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- Liver Disease Diagnosis and Treatment 15
- Co-authors
- Joan M. BoylanChanika PhornphutkulDavid L. BrautiganJennifer A. SandersEli Y. AdashiSusan Sullivan‐BolyaiKe‐Ying WuMargaret Grey
- Journals
- New England Journal of Medicine (3 papers)Proceedings of the National Academy of Sciences (1 paper)JAMA (5 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Philip A. Gruppuso
157 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Endocrinology, Diabetes and Metabolism 831
- Hepatology 318
- Obstetrics and Gynecology 303
- Speech and Hearing 215
- Pediatrics, Perinatology and Child Health 565
Countries citing papers authored by Philip A. Gruppuso
This map shows the geographic impact of Philip A. Gruppuso'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 Philip A. Gruppuso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip A. Gruppuso more than expected).
Fields of papers citing papers by Philip A. Gruppuso
This network shows the impact of papers produced by Philip A. Gruppuso. 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 Philip A. Gruppuso. The network helps show where Philip A. Gruppuso may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philip A. Gruppuso, 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 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 3 | |
| 4 | 2017 | 1 | |
| 5 | 2016 | 47 | |
| 6 | 2016 | 8 | |
| 7 | The Primary Care-Population Medicine Program at The Warren Alpert Medical School of Brown University. | 2015 | 6 |
| 8 | 2015 | 23 | |
| 9 | 2012 | 30 | |
| 10 | 2012 | 9 | |
| 11 | 2010 | 74 | |
| 12 | 2010 | 60 | |
| 13 | 2008 | 10 | |
| 14 | 2006 | 40 | |
| 15 | 2004 | 19 | |
| 16 | 2001 | 27 | |
| 17 | 1996 | 8 | |
| 18 | 1995 | 1 | |
| 19 | 1990 | 33 | |
| 20 | 1988 | 8 |
About Philip A. Gruppuso
Philip A. Gruppuso is a scholar working on Hepatology, Endocrinology, Diabetes and Metabolism and Obstetrics and Gynecology, having authored 161 papers that have together received 4.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (21 papers), Liver physiology and pathology (19 papers), PI3K/AKT/mTOR signaling in cancer (19 papers), Metabolism, Diabetes, and Cancer (17 papers), Innovations in Medical Education (17 papers), Birth, Development, and Health (16 papers), Protein Kinase Regulation and GTPase Signaling (15 papers) and Liver Disease Diagnosis and Treatment (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (831 citations), Hepatology (318 citations) and Obstetrics and Gynecology (303 citations). Philip A. Gruppuso has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Joan M. Boylan, Chanika Phornphutkul, David L. Brautigan, Jennifer A. Sanders, Eli Y. Adashi, Susan Sullivan‐Bolyai, Ke‐Ying Wu, Margaret Grey, William V. Tamborlane and Janet A. Deatrick. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.
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.