Jonathan Weitz
Impact in
-
- Diabetes Management and Research
- Diabetes Treatment and Management
- Surgery top 10%
- Pancreatic function and diabetes
Papers in ⓘ
-
- Adenosine and Purinergic Signaling 3
-
- Diabetes Management and Research 6
- Co-authors
- Alejandro Caicedo (10 shared papers)Rayner Rodriguez‐Diaz (6 shared papers)Joana Almaça (7 shared papers)Elizabeth Pereira (3 shared papers)Madina Makhmutova (4 shared papers)Camillo Ricordi (2 shared papers)Midhat H. Abdulreda (1 shared paper)Ingo B. Leibiger (1 shared paper)
- Journals
- Diabetes (4 papers)Cancer Research (3 papers)Cell Metabolism (2 papers)Biological Psychiatry (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Jonathan Weitz
22 papers receiving 706 citations
Peers
Comparison fields: 5 of 71
- Endocrinology, Diabetes and Metabolism 252
- Surgery 426
- Genetics 225
- Endocrine and Autonomic Systems 32
- Neurology 30
Countries citing papers authored by Jonathan Weitz
This map shows the geographic impact of Jonathan Weitz'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 Jonathan Weitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Weitz more than expected).
Fields of papers citing papers by Jonathan Weitz
This network shows the impact of papers produced by Jonathan Weitz. 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 Jonathan Weitz. The network helps show where Jonathan Weitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Weitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 144 | |
| 2 | 2018 | 139 | |
| 3 | 2017 | 79 | |
| 4 | 2020 | 59 | |
| 5 | 2017 | 51 | |
| 6 | 2020 | 45 | |
| 7 | 2023 | 42 | |
| 8 | 2020 | 28 | |
| 9 | 2023 | 21 | |
| 10 | 2020 | 21 | |
| 11 | 2020 | 18 | |
| 12 | 2017 | 17 | |
| 13 | 2023 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2022 | 12 | |
| 16 | 2025 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2008 | 1 |
About Jonathan Weitz
Jonathan Weitz is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Surgery, Neurology and Reproductive Medicine, having authored 22 papers that have together received 713 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Diabetes Management and Research (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), Adenosine and Purinergic Signaling (3 papers), Protein Degradation and Inhibitors (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Diabetes and associated disorders (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (252 citations), Surgery (426 citations), Genetics (225 citations), Endocrine and Autonomic Systems (32 citations) and Neurology (30 citations). Jonathan Weitz has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Alejandro Caicedo, Rayner Rodriguez‐Diaz, Joana Almaça, Elizabeth Pereira, Madina Makhmutova, Camillo Ricordi, Midhat H. Abdulreda, Ingo B. Leibiger, Barbara Leibiger and R. Damaris Molano. Their work appears in journals such as Diabetes, Cancer Research, Cell Metabolism, Biological Psychiatry and Clinical Cancer Research.
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.