Jeffrey Thorne
Impact in
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- Diabetes Management and Research
- Surgery top 10%
- Pancreatic function and diabetes
Papers in
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- Prenatal Screening and Diagnostics 3
- Assisted Reproductive Technology and Twin Pregnancy 2
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- Reproductive Biology and Fertility 3
- Co-authors
- Lorella Marselli (3 shared papers)Gordon C. Weir (3 shared papers)Dennis C. Sgroi (2 shared papers)Susan Bonner‐Weir (2 shared papers)Arun Sharma (2 shared papers)Piero Marchetti (1 shared paper)Sonika Dahiya (1 shared paper)Philippe A. Halban (1 shared paper)
- Journals
- Fertility and Sterility (4 papers)Journal of Assisted Reproduction and Genetics (3 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Parkinsonism & Related Disorders (1 paper)Stem Cells (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Jeffrey Thorne
15 papers receiving 822 citations
Peers
Comparison fields: 5 of 79
- Endocrinology, Diabetes and Metabolism 129
- Surgery 325
- Genetics 201
- Developmental Neuroscience 28
- Reproductive Medicine 41
Countries citing papers authored by Jeffrey Thorne
This map shows the geographic impact of Jeffrey Thorne'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 Jeffrey Thorne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Thorne more than expected).
Fields of papers citing papers by Jeffrey Thorne
This network shows the impact of papers produced by Jeffrey Thorne. 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 Jeffrey Thorne. The network helps show where Jeffrey Thorne may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey Thorne, 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 | 2008 | 264 | |
| 2 | 2010 | 238 | |
| 3 | 2014 | 82 | |
| 4 | 2007 | 66 | |
| 5 | 2008 | 61 | |
| 6 | 2003 | 37 | |
| 7 | 2018 | 25 | |
| 8 | 2019 | 25 | |
| 9 | 2010 | 15 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2017 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2019 | 1 |
About Jeffrey Thorne
Jeffrey Thorne is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Surgery, Molecular Biology and Reproductive Medicine, having authored 15 papers that have together received 830 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (3 papers), Prenatal Screening and Diagnostics (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Pluripotent Stem Cells Research (2 papers), Pancreatic function and diabetes (2 papers), Developmental Biology and Gene Regulation (2 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (129 citations), Surgery (325 citations), Genetics (201 citations), Developmental Neuroscience (28 citations) and Reproductive Medicine (41 citations). Jeffrey Thorne has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Lorella Marselli, Gordon C. Weir, Dennis C. Sgroi, Susan Bonner‐Weir, Arun Sharma, Piero Marchetti, Sonika Dahiya, Philippe A. Halban, Marc Y. Donath and François Pattou. Their work appears in journals such as Fertility and Sterility, Journal of Assisted Reproduction and Genetics, The Journal of Clinical Endocrinology & Metabolism, Parkinsonism & Related Disorders and Stem Cells.
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.