Jhuma Das

1.1k citations
24 papers · 847 · h-index 15

Impact in

    • Cystic Fibrosis Research Advances
    • Neonatal Respiratory Health Research
    • Tracheal and airway disorders
    • Lipid Membrane Structure and Behavior
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms

Papers in

Jhuma Das

23 papers receiving 834 citations

Peers

Jhuma Das
Comparison fields: 5 of 102
  • Pulmonary and Respiratory Medicine 281
  • Molecular Biology 362
  • Atomic and Molecular Physics, and Optics 135
  • Physical and Theoretical Chemistry 31
  • Physiology 66
Replace Christine DeWolf with:
Christine DeWolf Canada
Sebastián A. Thompson United States
Jagadish Sankaran Singapore
Arne Mikkelsen Norway
Guanghong Luo China
Markéta Kubánková United Kingdom
Eduardo Mendez-Villuendas Canada
Peter Cuypers Netherlands
James D. Burgess United States
Robert L. Wells United States
Jhuma Das relative to Christine DeWolf Canada Christine DeWolf's profile →
Citations per field
00.5×6.9×
Christine DeWolf · 1×
Citations per year

Countries citing papers authored by Jhuma Das

Since Specialization
Citations

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

Fields of papers citing papers by Jhuma Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jhuma Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jhuma Das Line = papers co-authored together Jhuma Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014260
2 200995
3 201679
4 200159
5 200652
6 200848
7 200232
8 198932
9 201630
10 202129
11 201326
12 201125
13 201620
14 199419
15 201517
16 20178
17 20215
18 20004
19
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20082
20 20172

About Jhuma Das

Jhuma Das is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Pulmonary and Respiratory Medicine and Computational Mechanics, having authored 24 papers that have together received 847 indexed citations. Recurring topics across this work include Semiconductor materials and devices (4 papers), Protein Structure and Dynamics (4 papers), Cystic Fibrosis Research Advances (3 papers), Computational Drug Discovery Methods (3 papers), Lipid Membrane Structure and Behavior (3 papers), Conducting polymers and applications (2 papers), Copper Interconnects and Reliability (2 papers) and Integrated Circuits and Semiconductor Failure Analysis (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (281 citations), Molecular Biology (362 citations), Atomic and Molecular Physics, and Optics (135 citations), Physical and Theoretical Chemistry (31 citations) and Physiology (66 citations). Jhuma Das has collaborated with scholars based in United States, Ireland and India. Frequent co-authors include Nikolay V. Dokholyan, Ioan Kosztin, Elijah Flenner, Deborah M. Cholon, Scott H. Randell, Nancy L. Quinney, Martina Gentzsch, Maikel C. Rheinstädter, Marino Convertino and Richard C. Boucher. Their work appears in journals such as Journal of Applied Physics, PLoS Computational Biology, Structural Dynamics, Langmuir and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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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