Moosa Mohammadi

63.1k citations
143 papers · 25.3k indexed · 17 hit papers · h-index 72
Topics
Fibroblast Growth Factor Research (96 papers)Proteoglycans and glycosaminoglycans research (35 papers)Kruppel-like factors research (25 papers)

In The Last Decade

Moosa Mohammadi

141 papers receiving 24.8k citations

Hit Papers

The FGF family: biology, pathophysiology ...19912026200220142009200719972006200050010001.5k

Peers

Moosa Mohammadi
Comparison fields: 5 of 148
  • Molecular Biology 18.6k
  • Genetics 5.0k
  • Cell Biology 4.0k
  • Nephrology 3.6k
  • Oncology 2.5k
Replace Catherine M. Shanahan with:
Catherine M. Shanahan United Kingdom
Katsuya Okawa Japan
Henry M. Kronenberg United States
Gerd Walz Germany
Allen M. Spiegel United States
Jonathan G. Seidman United States
Roland Baron United States
Thomas E. Willnow Germany
Jeffrey H. Miner United States
Peter Mündel United States
Moosa Mohammadi relative to Catherine M. Shanahan United Kingdom Catherine M. Shanahan's profile →
Citations per field
00.5×1.5×2.3×
Catherine M. Shanahan · 1×
Citations per year

Countries citing papers authored by Moosa Mohammadi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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