Satyajit Mayor

22.6k total citations · 8 hit papers
146 papers, 15.5k citations indexed

About

Satyajit Mayor is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Satyajit Mayor has authored 146 papers receiving a total of 15.5k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Molecular Biology, 71 papers in Cell Biology and 23 papers in Physiology. Recurrent topics in Satyajit Mayor's work include Cellular transport and secretion (52 papers), Lipid Membrane Structure and Behavior (51 papers) and Erythrocyte Function and Pathophysiology (16 papers). Satyajit Mayor is often cited by papers focused on Cellular transport and secretion (52 papers), Lipid Membrane Structure and Behavior (51 papers) and Erythrocyte Function and Pathophysiology (16 papers). Satyajit Mayor collaborates with scholars based in India, United States and Australia. Satyajit Mayor's co-authors include Richard E. Pagano, Rajat Varma, Madan Rao, Frederick R. Maxfield, Robert G. Parton, Christian Eggeling, Erdinç Sezgin, Ilya Levental, Sudha Kumari and Pranav Sharma and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Satyajit Mayor

138 papers receiving 15.3k citations

Hit Papers

The mystery of membrane or... 1998 2026 2007 2016 2017 2007 1998 2004 2009 500 1000 1.5k

Peers

Satyajit Mayor
Comparison fields: 5 of 164
  • Molecular Biology 10.8k
  • Cell Biology 5.8k
  • Physiology 2.3k
  • Immunology 1.7k
  • Biomedical Engineering 1.4k
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Citations per field, relative to Satyajit Mayor
Satyajit Mayor · 1×
Citations per year, relative to Satyajit Mayor
Satyajit Mayor · 1×

Countries citing papers authored by Satyajit Mayor

Since Specialization
Citations

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

Fields of papers citing papers by Satyajit Mayor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satyajit Mayor

This figure shows the co-authorship network connecting the top 25 collaborators of Satyajit Mayor. A scholar is included among the top collaborators of Satyajit Mayor 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 Satyajit Mayor. Satyajit Mayor 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
# Work Indexed citations
1 5
2 38
3 11
4 25
5 71
6 92
7 108
8 87
9 2
10 61
11 3
12 341
13 83
14 84
15 5
16
GPI-Anchored Proteins Are Delivered to Recycling Endosomes via a Distinct cdc42-Regulated, Clathrin-Independent Pinocytic Pathway breakdown →
524
17 26
18 56
19 0
20
Glycolipid precursors for the membrane anchor of Trypanosoma brucei variant surface glycoproteins.
67

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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