Sudeep Banjade

5.8k citations
14 papers · 3.6k indexed · 3 hit papers · h-index 10
Topics
Cellular transport and secretion (6 papers)Lipid Membrane Structure and Behavior (4 papers)Lysosomal Storage Disorders Research (3 papers)
Partner nations
United States

In The Last Decade

Sudeep Banjade

13 papers receiving 3.6k citations

Hit Papers

Phase transitions in the assembly of multivalent signalli...201220262016202120122016201450010001.5k

Peers

Sudeep Banjade
Comparison fields: 5 of 107
  • Molecular Biology 3.1k
  • Cell Biology 596
  • Biochemistry 331
  • Immunology 237
  • Materials Chemistry 177
Replace Pilong Li with:
Pilong Li China
Yongdae Shin South Korea
Michał Grzybek Germany
Jamshid Temirov United States
Diana M. Mitrea United States
Ünal Coskun Germany
Amanda Nourse United States
Jonathon A. Ditlev United States
Alaji Bah United States
Christy R. Grace United States
Sudeep Banjade relative to Pilong Li China Pilong Li's profile →
Citations per field
00.5×1.5×
Pilong Li · 1×
Citations per year

Countries citing papers authored by Sudeep Banjade

Since Specialization
Citations

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

Fields of papers citing papers by Sudeep Banjade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudeep Banjade

This figure shows the co-authorship network connecting the top 25 collaborators of Sudeep Banjade. A scholar is included among the top collaborators of Sudeep Banjade 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 Sudeep Banjade. Sudeep Banjade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 4
2 21
3 17
4 0
5 31
6 4
7
Phase separation of signaling molecules promotes T cell receptor signal transductionbreakdown →
904
8 59
9 1
10 138
11
Phase transitions of multivalent proteins can promote clustering of membrane receptorsbreakdown →
444
12
Phase transitions in the assembly of multivalent signalling proteinsbreakdown →
1859
13 21
14 144

About Sudeep Banjade

Sudeep Banjade is a scholar working on Cell Biology, Immunology and Allergy and Physiology, having authored 14 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Lipid Membrane Structure and Behavior (4 papers) and Lysosomal Storage Disorders Research (3 papers). The work is most often cited by research in Biochemistry (331 citations), Molecular Biology (3.1k citations) and Cell Biology (596 citations). Sudeep Banjade has collaborated with scholars based in United States. Frequent co-authors include Michael K. Rosen, David S. King, Liang Guo, Baoyu Chen, Qiu‐Xing Jiang, Paul S. Russo, Salman F. Banani, Pilong Li, Marc C. Llaguno and B. Tracy Nixon. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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