Mohammed A. Arnaout
- Endocrinology, Diabetes and Metabolism top 10%
- Cellular and Molecular Neuroscience top 10%
- Surgery
- Reproductive Medicine top 10%
- Molecular Biology
- Co-authors
- Thad C. HagenDonald R. MartinsonThomas L. GarthwaiteSamir S. AmrMohammed KamalAla U. ToukanYun Ii GoAlvin E. Davis
- Topics
- Neuropeptides and Animal Physiology (3 papers)Renal Diseases and Glomerulopathies (2 papers)Hormonal and reproductive studies (2 papers)
- Cited by
- Reproductive MedicineEndocrinology, Diabetes and MetabolismCellular and Molecular Neuroscience
- Partner nations
- JordanUnited StatesMalaysia
In The Last Decade
Mohammed A. Arnaout
14 papers receiving 371 citations
Peers
Comparison fields: 5 of 63
- Endocrinology, Diabetes and Metabolism 147
- Cellular and Molecular Neuroscience 132
- Surgery 106
- Reproductive Medicine 78
- Molecular Biology 69
Countries citing papers authored by Mohammed A. Arnaout
This map shows the geographic impact of Mohammed A. Arnaout'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 Mohammed A. Arnaout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed A. Arnaout more than expected).
Fields of papers citing papers by Mohammed A. Arnaout
This network shows the impact of papers produced by Mohammed A. Arnaout. 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 Mohammed A. Arnaout. The network helps show where Mohammed A. Arnaout may publish in the future.
Co-authorship network of co-authors of Mohammed A. Arnaout
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed A. Arnaout. A scholar is included among the top collaborators of Mohammed A. Arnaout 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 Mohammed A. Arnaout. Mohammed A. Arnaout is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 27 | |
| 5 | 14 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 108 | |
| 11 | 79 | |
| 12 | 71 | |
| 13 | 24 | |
| 14 | 4 |
About Mohammed A. Arnaout
Mohammed A. Arnaout is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 14 papers that have together received 393 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (3 papers), Renal Diseases and Glomerulopathies (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Reproductive Medicine (78 citations), Endocrinology, Diabetes and Metabolism (147 citations) and Cellular and Molecular Neuroscience (132 citations). Mohammed A. Arnaout has collaborated with scholars based in Jordan, United States and Malaysia. Frequent co-authors include Thad C. Hagen, Donald R. Martinson, Thomas L. Garthwaite, Samir S. Amr, Mohammed Kamal, Ala U. Toukan, Yun Ii Go, Alvin E. Davis, Chester A. Alper and Fred S. Rosen. Their work appears in journals such as New England Journal of Medicine, The Journal of Immunology and Endocrinology.
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.