Mariano Schuman
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Physiology
- Co-authors
- Carlos J. PirolaSilvia GarcíaGraciela CremaschiMarı́a Laura Barreiro ArcosAlicia Juana KlechaAna Marı́a GenaroGabriela GorelikDafne M. Silberman
- Topics
- Neuropeptides and Animal Physiology (5 papers)Regulation of Appetite and Obesity (4 papers)Adipose Tissue and Metabolism (3 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsBehavioral Neuroscience
- Partner nations
- ArgentinaGermanyUnited States
In The Last Decade
Mariano Schuman
19 papers receiving 360 citations
Peers
Comparison fields: 5 of 69
- Endocrinology, Diabetes and Metabolism 128
- Molecular Biology 90
- Cardiology and Cardiovascular Medicine 81
- Epidemiology 71
- Physiology 54
Countries citing papers authored by Mariano Schuman
This map shows the geographic impact of Mariano Schuman'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 Mariano Schuman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariano Schuman more than expected).
Fields of papers citing papers by Mariano Schuman
This network shows the impact of papers produced by Mariano Schuman. 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 Mariano Schuman. The network helps show where Mariano Schuman may publish in the future.
Co-authorship network of co-authors of Mariano Schuman
This figure shows the co-authorship network connecting the top 25 collaborators of Mariano Schuman. A scholar is included among the top collaborators of Mariano Schuman 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 Mariano Schuman. Mariano Schuman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 45 | |
| 11 | 12 | |
| 12 | 23 | |
| 13 | 44 | |
| 14 | 12 | |
| 15 | 26 | |
| 16 | 22 | |
| 17 | 9 | |
| 18 | 105 | |
| 19 | 2 | |
| 20 | 18 |
About Mariano Schuman
Mariano Schuman is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 368 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Regulation of Appetite and Obesity (4 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (128 citations), Endocrine and Autonomic Systems (48 citations) and Behavioral Neuroscience (18 citations). Mariano Schuman has collaborated with scholars based in Argentina, Germany and United States. Frequent co-authors include Carlos J. Pirola, Silvia García, Graciela Cremaschi, Marı́a Laura Barreiro Arcos, Alicia Juana Klecha, Ana Marı́a Genaro, Gabriela Gorelik, Dafne M. Silberman, Silvia Sookoian and Adriana L. Burgueño. Their work appears in journals such as Hypertension, Journal of the American Society of Nephrology and Life 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.