P. Mêda
Impact in
- Surgery top 0.5%
- Pancreatic function and diabetes
Papers in
- Surgery 50
- Pancreatic function and diabetes 48
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- Connexins and lens biology 30
- Co-authors
- Lelio Orci (21 shared papers)Philippe A. Halban (5 shared papers)Claes B. Wollheim (4 shared papers)Maryam Asfari (1 shared paper)Geng Li (1 shared paper)D. Janjic (1 shared paper)Domenico Bosco (10 shared papers)Alain Perrelet (6 shared papers)
- Journals
- Diabetes (10 papers)Diabetologia (8 papers)American Journal of Physiology-Cell Physiology (7 papers)Journal of Clinical Investigation (6 papers)The Journal of Cell Biology (5 papers)
- Partner nations
- SwitzerlandPortugalUnited States
In The Last Decade
P. Mêda
123 papers receiving 5.5k citations
P. Mêda's Hit Papers
Peers
Comparison fields: 5 of 160
- Endocrine and Autonomic Systems 387
- Surgery 2.4k
- Endocrinology, Diabetes and Metabolism 831
- Molecular Biology 3.3k
- Cell Biology 733
Countries citing papers authored by P. Mêda
This map shows the geographic impact of P. Mêda'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 P. Mêda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Mêda more than expected).
Fields of papers citing papers by P. Mêda
This network shows the impact of papers produced by P. Mêda. 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 P. Mêda. The network helps show where P. Mêda may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Mêda, 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Establishment of 2-mercaptoethanol-dependent differentiated insulin-secreting cell lines. Hit paper breakdown → | 1992 | 1016 |
| 2 | 2000 | 236 | |
| 3 | 2000 | 210 | |
| 4 | 1981 | 203 | |
| 5 | 1993 | 178 | |
| 6 | 1991 | 159 | |
| 7 | 2000 | 142 | |
| 8 | 1979 | 139 | |
| 9 | 1987 | 136 | |
| 10 | 1994 | 124 | |
| 11 | 1995 | 106 | |
| 12 | 1990 | 106 | |
| 13 | 2007 | 103 | |
| 14 | 1989 | 102 | |
| 15 | 1992 | 98 | |
| 16 | 1992 | 97 | |
| 17 | 2007 | 95 | |
| 18 | 2005 | 91 | |
| 19 | 1988 | 87 | |
| 20 | 1996 | 85 |
About P. Mêda
P. Mêda is a scholar working on Surgery, Molecular Biology, Building and Construction, Genetics and Physiology, having authored 129 papers that have together received 5.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (48 papers), BIM and Construction Integration (30 papers), Connexins and lens biology (30 papers), Diabetes and associated disorders (14 papers), Erythrocyte Function and Pathophysiology (10 papers), Construction Project Management and Performance (8 papers), Diabetes Management and Research (8 papers) and Facilities and Workplace Management (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (387 citations), Surgery (2.4k citations), Endocrinology, Diabetes and Metabolism (831 citations), Molecular Biology (3.3k citations) and Cell Biology (733 citations). P. Mêda has collaborated with scholars based in Switzerland, Portugal and United States. Frequent co-authors include Lelio Orci, Philippe A. Halban, Claes B. Wollheim, Maryam Asfari, Geng Li, D. Janjic, Domenico Bosco, Alain Perrelet, Michael S. Pepper and Marc Chanson. Their work appears in journals such as Diabetes, Diabetologia, American Journal of Physiology-Cell Physiology, Journal of Clinical Investigation and The Journal of Cell Biology.
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.