Beatriz Sosa‐Pineda
- Surgery top 1%
- Molecular Biology top 5%
- Genetics top 0.5%
- Endocrinology, Diabetes and Metabolism top 1%
- Oncology top 5%
- Co-authors
- Guillermo OliverKamal ChowdhuryPeter GrussAhmed MansouriLuc St‐OngePeter GrußMiguel TorresLynda Elghazi
- Topics
- Pancreatic function and diabetes (26 papers)Diabetes and associated disorders (14 papers)Diet, Metabolism, and Disease (6 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Beatriz Sosa‐Pineda
36 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Surgery 2.8k
- Molecular Biology 2.2k
- Genetics 1.9k
- Endocrinology, Diabetes and Metabolism 1.1k
- Oncology 524
Countries citing papers authored by Beatriz Sosa‐Pineda
This map shows the geographic impact of Beatriz Sosa‐Pineda'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 Beatriz Sosa‐Pineda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatriz Sosa‐Pineda more than expected).
Fields of papers citing papers by Beatriz Sosa‐Pineda
This network shows the impact of papers produced by Beatriz Sosa‐Pineda. 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 Beatriz Sosa‐Pineda. The network helps show where Beatriz Sosa‐Pineda may publish in the future.
Co-authorship network of co-authors of Beatriz Sosa‐Pineda
This figure shows the co-authorship network connecting the top 25 collaborators of Beatriz Sosa‐Pineda. A scholar is included among the top collaborators of Beatriz Sosa‐Pineda 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 Beatriz Sosa‐Pineda. Beatriz Sosa‐Pineda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 17 | |
| 3 | 62 | |
| 4 | 47 | |
| 5 | 20 | |
| 6 | 58 | |
| 7 | 31 | |
| 8 | 37 | |
| 9 | Transcription Factor Glis3, a Novel Critical Player in the Regulation of Pancreatic beta-Cell Development and Insulin Gene Expression (vol 29, pg 6366, 2009) | 7 |
| 10 | 125 | |
| 11 | The Ectopic Expression of Pax4 in the Mouse Pancreas Converts Progenitor Cells into α and Subsequently β Cellsbreakdown → | 426 |
| 12 | 24 | |
| 13 | Ghrelin is a novel target of Pax4 in endocrine progenitors of the pancreas and duodenum. | 2 |
| 14 | 45 | |
| 15 | 299 | |
| 16 | 28 | |
| 17 | 120 | |
| 18 | 111 | |
| 19 | Pax6 is required for differentiation of glucagon-producing α-cells in mouse pancreasbreakdown → | 634 |
| 20 | 301 |
About Beatriz Sosa‐Pineda
Beatriz Sosa‐Pineda is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism, having authored 36 papers that have together received 4.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (26 papers), Diabetes and associated disorders (14 papers) and Diet, Metabolism, and Disease (6 papers). The work is most often cited by research in Genetics (1.9k citations), Endocrinology, Diabetes and Metabolism (1.1k citations) and Surgery (2.8k citations). Beatriz Sosa‐Pineda has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Guillermo Oliver, Kamal Chowdhury, Peter Gruss, Ahmed Mansouri, Luc St‐Onge, Peter Gruß, Miguel Torres, Lynda Elghazi, Lori Sussel and Jeffrey T. Wigle. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.