Anupa Majumdar

742 citations
15 papers · 475 indexed · 1 hit paper · h-index 9
Topics
Protein Structure and Dynamics (6 papers)Lipid Membrane Structure and Behavior (6 papers)Alzheimer's disease research and treatments (3 papers)

In The Last Decade

Anupa Majumdar

15 papers receiving 466 citations

Hit Papers

Phase-separating RNA-binding proteins form heterogeneous ...2022202620232024202250100150

Peers

Anupa Majumdar
Comparison fields: 5 of 71
  • Molecular Biology 389
  • Materials Chemistry 55
  • Physiology 45
  • Biochemistry 44
  • Cell Biology 32
Replace Andrew P. Longhini with:
Andrew P. Longhini United States
Michael R. Brzustowicz United States
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Zeting Zhang China
Benedikt Frieg Germany
Jun-Mei Zhou China
S.M. Sullivan United States
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Anupa Majumdar relative to Andrew P. Longhini United States Andrew P. Longhini's profile →
Citations per field
00.5×1.7×
Andrew P. Longhini · 1×
Citations per year

Countries citing papers authored by Anupa Majumdar

Since Specialization
Citations

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

Fields of papers citing papers by Anupa Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anupa Majumdar

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1
Phase-separating RNA-binding proteins form heterogeneous distributions of clusters in subsaturated solutionsbreakdown →
170
2 3
3 5
4 9
5 26
6 62
7 115
8 22
9 10
10 7
11 6
12 5
13 5
14 9
15 21

About Anupa Majumdar

Anupa Majumdar is a scholar working on Physiology, Molecular Biology and Biophysics, having authored 15 papers that have together received 475 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Lipid Membrane Structure and Behavior (6 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Biochemistry (44 citations), Molecular Biology (389 citations) and Cell Biology (32 citations). Anupa Majumdar has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Samrat Mukhopadhyay, Priyanka Dogra, Anthony A. Hyman, Rohit V. Pappu, Tuomas P. J. Knowles, Simon Alberti, Claus A. M. Seidel, Ralf Kühnemuth, Mrityunjoy Kar and Timothy J. Welsh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Physical Chemistry B.

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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