Matthew C. Leinung
- Endocrinology, Diabetes and Metabolism top 1%
- Endocrine and Autonomic Systems top 2%
- Nutrition and Dietetics top 5%
- Surgery
- Epidemiology
- Co-authors
- Patricia GrassoRachel HopkinsDaniel W. LeePaul J. DavisHung‐Yun LinShaker A. MousaEdward R. LawsLaurie A. Kane
- Topics
- Biochemical Analysis and Sensing Techniques (14 papers)Regulation of Appetite and Obesity (12 papers)LGBTQ Health, Identity, and Policy (6 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsNutrition and Dietetics
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaAnnals of Internal Medicine
- Partner nations
- United StatesTaiwan
In The Last Decade
Matthew C. Leinung
45 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 105
- Endocrinology, Diabetes and Metabolism 788
- Endocrine and Autonomic Systems 308
- Nutrition and Dietetics 277
- Surgery 261
- Epidemiology 243
Countries citing papers authored by Matthew C. Leinung
This map shows the geographic impact of Matthew C. Leinung'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 Matthew C. Leinung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew C. Leinung more than expected).
Fields of papers citing papers by Matthew C. Leinung
This network shows the impact of papers produced by Matthew C. Leinung. 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 Matthew C. Leinung. The network helps show where Matthew C. Leinung may publish in the future.
Co-authorship network of co-authors of Matthew C. Leinung
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew C. Leinung. A scholar is included among the top collaborators of Matthew C. Leinung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew C. Leinung. Matthew C. Leinung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 23 | |
| 3 | 7 | |
| 4 | 46 | |
| 5 | 60 | |
| 6 | 39 | |
| 7 | 16 | |
| 8 | 22 | |
| 9 | 17 | |
| 10 | 20 | |
| 11 | 17 | |
| 12 | 28 | |
| 13 | 23 | |
| 14 | 19 | |
| 15 | 24 | |
| 16 | 154 | |
| 17 | 22 | |
| 18 | 30 | |
| 19 | 94 | |
| 20 | 10 |
About Matthew C. Leinung
Matthew C. Leinung is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (14 papers), Regulation of Appetite and Obesity (12 papers) and LGBTQ Health, Identity, and Policy (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (788 citations), Endocrine and Autonomic Systems (308 citations) and Nutrition and Dietetics (277 citations). Matthew C. Leinung has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Patricia Grasso, Rachel Hopkins, Daniel W. Lee, Paul J. Davis, Hung‐Yun Lin, Shaker A. Mousa, Edward R. Laws, Laurie A. Kane, B. W. Scheithauer and Donald Zimmerman. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Annals of Internal Medicine.
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.