Larry Z. Shen
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 2%
- Molecular Biology top 10%
- Pharmacology top 2%
- Statistics and Probability top 1%
- Co-authors
- Mark FinemanOrville KoltermanJohn O’QuigleyAlain BaronKristin TaylorDavid MaggsJames A. RugglesDennis Dong Hwan Kim
- Topics
- Diabetes Treatment and Management (17 papers)Diabetes Management and Research (12 papers)Pancreatic function and diabetes (9 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismStatistics and ProbabilityEndocrine and Autonomic Systems
- Journals
- Diabetes CareBiometricsBiometrika
- Partner nations
- United StatesSwedenNetherlands
In The Last Decade
Larry Z. Shen
31 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 96
- Endocrinology, Diabetes and Metabolism 2.2k
- Surgery 1.1k
- Molecular Biology 840
- Pharmacology 566
- Statistics and Probability 405
Countries citing papers authored by Larry Z. Shen
This map shows the geographic impact of Larry Z. Shen'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 Larry Z. Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry Z. Shen more than expected).
Fields of papers citing papers by Larry Z. Shen
This network shows the impact of papers produced by Larry Z. Shen. 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 Larry Z. Shen. The network helps show where Larry Z. Shen may publish in the future.
Co-authorship network of co-authors of Larry Z. Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Larry Z. Shen. A scholar is included among the top collaborators of Larry Z. Shen 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 Larry Z. Shen. Larry Z. Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 33 | |
| 3 | 124 | |
| 4 | 117 | |
| 5 | 75 | |
| 6 | 78 | |
| 7 | 45 | |
| 8 | 193 | |
| 9 | 141 | |
| 10 | 219 | |
| 11 | 47 | |
| 12 | 44 | |
| 13 | 298 | |
| 14 | 247 | |
| 15 | 4 | |
| 16 | 9 | |
| 17 | 50 | |
| 18 | 31 | |
| 19 | 104 | |
| 20 | 5 |
About Larry Z. Shen
Larry Z. Shen is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism and Statistics, Probability and Uncertainty, having authored 33 papers that have together received 3.0k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (17 papers), Diabetes Management and Research (12 papers) and Pancreatic function and diabetes (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.2k citations), Statistics and Probability (405 citations) and Endocrine and Autonomic Systems (236 citations). Larry Z. Shen has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Mark Fineman, Orville Kolterman, John O’Quigley, Alain Baron, Kristin Taylor, David Maggs, James A. Ruggles, Dennis Dong Hwan Kim, S. Strobel and Christian Weyer. Their work appears in journals such as Diabetes Care, Biometrics and Biometrika.
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.