Farideh Ghomashchi

5.3k citations
60 papers · 4.6k indexed · h-index 38
Topics
Protein Kinase Regulation and GTPase Signaling (31 papers)Venomous Animal Envenomation and Studies (11 papers)Cellular transport and secretion (8 papers)
Partner nations
United StatesFranceJapan

In The Last Decade

Farideh Ghomashchi

60 papers receiving 4.5k citations

Peers

Farideh Ghomashchi
Comparison fields: 5 of 111
  • Molecular Biology 3.1k
  • Cell Biology 806
  • Genetics 733
  • Physiology 680
  • Immunology 537
Replace Lih‐Ling Lin with:
Lih‐Ling Lin United States
John L. Knopf United States
Mikihiko Naito Japan
Tatsuya Tamaoki Japan
Yoshiko Banno Japan
Elaine Rands United States
Ronald E. Diehl United States
Daniel J. Chin United States
Janice E. Buss United States
Günter Müller Germany
Farideh Ghomashchi relative to Lih‐Ling Lin United States Lih‐Ling Lin's profile →
Citations per field
00.5×1.7×
Lih‐Ling Lin · 1×
Citations per year

Countries citing papers authored by Farideh Ghomashchi

Since Specialization
Citations

This map shows the geographic impact of Farideh Ghomashchi'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 Farideh Ghomashchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farideh Ghomashchi more than expected).

Fields of papers citing papers by Farideh Ghomashchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Farideh Ghomashchi. 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 Farideh Ghomashchi. The network helps show where Farideh Ghomashchi may publish in the future.

Co-authorship network of co-authors of Farideh Ghomashchi

This figure shows the co-authorship network connecting the top 25 collaborators of Farideh Ghomashchi. A scholar is included among the top collaborators of Farideh Ghomashchi 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 Farideh Ghomashchi. Farideh Ghomashchi 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 31
2 10
3 113
4 42
5 46
6 93
7 50
8 165
9 299
10 155
11 22
12 39
13 6
14 193
15 156
16 90
17 91
18 395
19 48
20 92

About Farideh Ghomashchi

Farideh Ghomashchi is a scholar working on Cell Biology, Molecular Biology and Physiology, having authored 60 papers that have together received 4.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (31 papers), Venomous Animal Envenomation and Studies (11 papers) and Cellular transport and secretion (8 papers). The work is most often cited by research in Cell Biology (806 citations), Molecular Biology (3.1k citations) and Biochemistry (311 citations). Farideh Ghomashchi has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Michael H. Gelb, Gérard Lambeau, Michel Lazdunski, Emmanuel Di Valentin, Mahendra Kumar Jain, Alan G. Singer, Kohei Yokoyama, Martin Sadı́lek, Sofiane Bezzine and Christina C. Leslie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

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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