Salwan Maqdasy
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Molecular Biology
- Epidemiology
- Co-authors
- Igor TauveronBruno PereiraFréderic DutheilT. BenichouDavid H. VolleMartial MermillodDaniela M. PfabiganJean‐Marc A. Lobaccaro
- Topics
- Cholesterol and Lipid Metabolism (9 papers)Pituitary Gland Disorders and Treatments (6 papers)Adipose Tissue and Metabolism (6 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineReproductive Medicine
- Journals
- PLoS ONEThe Journal of Clinical Endocrinology & MetabolismBiochemical and Biophysical Research Communications
- Partner nations
- FranceSwedenUnited States
In The Last Decade
Salwan Maqdasy
42 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cardiology and Cardiovascular Medicine 317
- Endocrinology, Diabetes and Metabolism 300
- Surgery 281
- Molecular Biology 214
- Epidemiology 111
Countries citing papers authored by Salwan Maqdasy
This map shows the geographic impact of Salwan Maqdasy'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 Salwan Maqdasy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salwan Maqdasy more than expected).
Fields of papers citing papers by Salwan Maqdasy
This network shows the impact of papers produced by Salwan Maqdasy. 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 Salwan Maqdasy. The network helps show where Salwan Maqdasy may publish in the future.
Co-authorship network of co-authors of Salwan Maqdasy
This figure shows the co-authorship network connecting the top 25 collaborators of Salwan Maqdasy. A scholar is included among the top collaborators of Salwan Maqdasy 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 Salwan Maqdasy. Salwan Maqdasy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 35 | |
| 5 | 16 | |
| 6 | 19 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 29 | |
| 10 | 11 | |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 7 | |
| 14 | 47 | |
| 15 | 18 | |
| 16 | 12 | |
| 17 | 45 | |
| 18 | An unusual plurihormonal pituitary adenoma | 1 |
| 19 | 87 | |
| 20 | 62 |
About Salwan Maqdasy
Salwan Maqdasy is a scholar working on Endocrinology, Diabetes and Metabolism, Anatomy and Family Practice, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (9 papers), Pituitary Gland Disorders and Treatments (6 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (300 citations), Cardiology and Cardiovascular Medicine (317 citations) and Reproductive Medicine (98 citations). Salwan Maqdasy has collaborated with scholars based in France, Sweden and United States. Frequent co-authors include Igor Tauveron, Bruno Pereira, Fréderic Dutheil, T. Benichou, David H. Volle, Martial Mermillod, Daniela M. Pfabigan, Jean‐Marc A. Lobaccaro, Marine Baptissart and Silvère Baron. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.
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.