Moosa Mohammadi
- Molecular Biology top 0.1%
- Genetics top 0.1%
- Cell Biology top 0.1%
- Nephrology top 0.05%
- Oncology top 1%
- Co-authors
- Joseph SchlessingerRegina GoetzAndrew BeenkenOmar A. IbrahimiStevan R. HubbardAnna V. EliseenkovaShaun K. OlsenSteven A. Kliewer
- Topics
- Fibroblast Growth Factor Research (96 papers)Proteoglycans and glycosaminoglycans research (35 papers)Kruppel-like factors research (25 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Moosa Mohammadi
141 papers receiving 24.8k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 18.6k
- Genetics 5.0k
- Cell Biology 4.0k
- Nephrology 3.6k
- Oncology 2.5k
Countries citing papers authored by Moosa Mohammadi
This map shows the geographic impact of Moosa Mohammadi'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 Moosa Mohammadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moosa Mohammadi more than expected).
Fields of papers citing papers by Moosa Mohammadi
This network shows the impact of papers produced by Moosa Mohammadi. 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 Moosa Mohammadi. The network helps show where Moosa Mohammadi may publish in the future.
Co-authorship network of co-authors of Moosa Mohammadi
This figure shows the co-authorship network connecting the top 25 collaborators of Moosa Mohammadi. A scholar is included among the top collaborators of Moosa Mohammadi 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 Moosa Mohammadi. Moosa Mohammadi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 68 | |
| 2 | 54 | |
| 3 | 18 | |
| 4 | 10 | |
| 5 | 42 | |
| 6 | Exploring mechanisms of FGF signalling through the lens of structural biologybreakdown → | 436 |
| 7 | 10 | |
| 8 | 122 | |
| 9 | 17 | |
| 10 | 102 | |
| 11 | The FGF family: biology, pathophysiology and therapybreakdown → | 1513 |
| 12 | 149 | |
| 13 | 336 | |
| 14 | Endocrine Regulation of the Fasting Response by PPARα-Mediated Induction of Fibroblast Growth Factor 21breakdown → | 1265 |
| 15 | The parathyroid is a target organ for FGF23 in ratsbreakdown → | 741 |
| 16 | Receptor Specificity of the Fibroblast Growth Factor Familybreakdown → | 946 |
| 17 | 16 | |
| 18 | 44 | |
| 19 | 24 | |
| 20 | 242 |
About Moosa Mohammadi
Moosa Mohammadi is a scholar working on Nephrology, Cell Biology and Molecular Biology, having authored 143 papers that have together received 25.3k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (96 papers), Proteoglycans and glycosaminoglycans research (35 papers) and Kruppel-like factors research (25 papers). The work is most often cited by research in Nephrology (3.6k citations), Molecular Biology (18.6k citations) and Cell Biology (4.0k citations). Moosa Mohammadi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Joseph Schlessinger, Regina Goetz, Andrew Beenken, Omar A. Ibrahimi, Stevan R. Hubbard, Anna V. Eliseenkova, Shaun K. Olsen, Steven A. Kliewer, A.N. Plotnikov and David J. Mangelsdorf. Their work appears in journals such as Nature, Science and Cell.
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.