Ranjan K. Dash

859 citations
36 papers · 702 · h-index 17

Impact in

Papers in

    • Seismic Waves and Analysis 6
    • Seismic Imaging and Inversion Techniques 5
    • Mitochondrial Function and Pathology 17
    • ATP Synthase and ATPases Research 16

Ranjan K. Dash

35 papers receiving 694 citations

Peers

Ranjan K. Dash
Comparison fields: 5 of 98
  • Clinical Biochemistry 69
  • Molecular Biology 431
  • Geophysics 72
  • Fluid Flow and Transfer Processes 32
  • Cellular and Molecular Neuroscience 83
Replace Georg Achleitner with:
Georg Achleitner Austria
Akira Akira United States
Qian Hua China
Kalyan C. Vinnakota United States
Mikiko YASUHARA Japan
Guoxing Liu China
Limin Yang United States
Efrath Barta Israel
Yihao Liu China
Qiu Huang China
Ranjan K. Dash relative to Georg Achleitner Austria Georg Achleitner's profile →
Citations per field
00.5×1.5×2×2.3×
Georg Achleitner · 1×
Citations per year

Countries citing papers authored by Ranjan K. Dash

Since Specialization
Citations

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

Fields of papers citing papers by Ranjan K. Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ranjan K. Dash. 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 Ranjan K. Dash. The network helps show where Ranjan K. Dash may publish in the future.

Co-authors

The 25 scholars most cited alongside Ranjan K. Dash, 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 Ranjan K. Dash Line = papers co-authored together Ranjan K. Dash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200888
2 200064
3 200946
4 201043
5 200940
6 201235
7 201231
8 201029
9 201128
10 200928
11 201325
12 201424
13 201023
14 201423
15 201121
16 201021
17 201119
18 201017
19 200216
20 200913

About Ranjan K. Dash

Ranjan K. Dash is a scholar working on Geophysics, Molecular Biology, Clinical Biochemistry, Cellular and Molecular Neuroscience and Signal Processing, having authored 36 papers that have together received 702 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (17 papers), ATP Synthase and ATPases Research (16 papers), Seismic Waves and Analysis (6 papers), Seismic Imaging and Inversion Techniques (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Metabolism and Genetic Disorders (4 papers), Data Management and Algorithms (3 papers) and Hydraulic Fracturing and Reservoir Analysis (3 papers). The work is most often cited by research in Clinical Biochemistry (69 citations), Molecular Biology (431 citations), Geophysics (72 citations), Fluid Flow and Transfer Processes (32 citations) and Cellular and Molecular Neuroscience (83 citations). Ranjan K. Dash has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Daniel Beard, Ranjan K. Pradhan, Feng Qi, Amadou K.S. Camara, Jason N. Bazil, David F. Stowe, G. Jayaraman, K.N. Mehta, Prabir K. Daripa and Kalyan C. Vinnakota. Their work appears in journals such as Biophysical Journal, Journal of Bioenergetics and Biomembranes, The Journal of Physiology, The Leading Edge and PLoS ONE.

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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