Debanjan Goswami

2.8k citations
17 papers · 2.0k indexed · 1 hit paper · h-index 13
Topics
Neuroscience and Neuropharmacology Research (6 papers)Lipid Membrane Structure and Behavior (5 papers)Cellular transport and secretion (5 papers)

In The Last Decade

Debanjan Goswami

16 papers receiving 2.0k citations

Hit Papers

A DNA nanomachine that maps spatial and temporal pH chang...20092026201420202009200400600

Peers

Debanjan Goswami
Comparison fields: 5 of 108
  • Molecular Biology 1.5k
  • Cellular and Molecular Neuroscience 469
  • Cell Biology 454
  • Biomedical Engineering 231
  • Physiology 153
Replace Tong Wang with:
Tong Wang China
Cyril Hanus Germany
Chi W. Pak United States
Benjamin D. Mangum United States
Lin Guo United States
Enilza Maria Espreáfico Brazil
Yu‐Chih Lin Taiwan
Jorge E. Moreira United States
Karen Wu United States
Sergio Leal‐Ortiz United States
Debanjan Goswami relative to Tong Wang China Tong Wang's profile →
Citations per field
00.5×1.5×2.3×
Tong Wang · 1×
Citations per year

Countries citing papers authored by Debanjan Goswami

Since Specialization
Citations

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

Fields of papers citing papers by Debanjan Goswami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debanjan Goswami

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 2
3 3
4 193
5 21
6 46
7 137
8 70
9 64
10 0
11 161
12 38
13 107
14
A DNA nanomachine that maps spatial and temporal pH changes inside living cellsbreakdown →
643
15 122
16 371
17 44

About Debanjan Goswami

Debanjan Goswami is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Cell Biology, having authored 17 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Lipid Membrane Structure and Behavior (5 papers) and Cellular transport and secretion (5 papers). The work is most often cited by research in Cell Biology (454 citations), Cellular and Molecular Neuroscience (469 citations) and Molecular Biology (1.5k citations). Debanjan Goswami has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Satyajit Mayor, Souvik Modi, Gagan D. Gupta, Yamuna Krishnan, Robert C. Malenka, Thomas C. Südhof, Subhasri Ghosh, Ram A. Vishwakarma, Rahul Chadda and Riya Raghupathy. Their work appears in journals such as Nature, Cell 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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