Subhra Mohapatra

4.2k citations
100 papers · 2.9k · h-index 30

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 8
    • RNA Interference and Gene Delivery 7
    • Cancer-related Molecular Pathways 9
    • Cancer Cells and Metastasis 5

Subhra Mohapatra

97 papers receiving 2.8k citations

Peers

Subhra Mohapatra
Comparison fields: 5 of 141
  • Pharmaceutical Science 180
  • Biomaterials 353
  • Neurology 135
  • Neurology 230
  • Molecular Biology 1.0k
Replace Michael Zhang with:
Michael Zhang United States
Kewal K. Jain Switzerland
Saurabh Srivastava India
Huan Wang China
Jin Gao United States
Liya Ye China
Yunsheng Xu China
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Citations per field
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Citations per year

Countries citing papers authored by Subhra Mohapatra

Since Specialization
Citations

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

Fields of papers citing papers by Subhra Mohapatra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004282
2 2012218
3 2009146
4 2021129
5 2013114
6 201997
7 201289
8 200374
9 201268
10 200867
11 200566
12 201165
13 201950
14 201449
15 201749
16 201349
17 200546
18 201543
19 201341
20 200141

About Subhra Mohapatra

Subhra Mohapatra is a scholar working on Molecular Biology, Oncology, Epidemiology, Biomedical Engineering and Immunology, having authored 100 papers that have together received 2.9k indexed citations. Recurring topics across this work include Respiratory viral infections research (10 papers), Cancer-related Molecular Pathways (9 papers), Advanced biosensing and bioanalysis techniques (8 papers), RNA Interference and Gene Delivery (7 papers), Neonatal Respiratory Health Research (6 papers), Nanoparticle-Based Drug Delivery (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Pharmaceutical Science (180 citations), Biomaterials (353 citations), Neurology (135 citations), Neurology (230 citations) and Molecular Biology (1.0k citations). Subhra Mohapatra has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Shyam S. Mohapatra, Mahasweta Das, Mark Howell, Richard F. Lockey, W. J. Pledger, Ryan Green, Sumita Behera, Xiaoyuan Kong, Karthick Mayilsamy and Gary Hellermann. Their work appears in journals such as Journal of Allergy and Clinical Immunology, PLoS ONE, Nanomedicine Nanotechnology Biology and Medicine, World Allergy Organization Journal and Sensors.

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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