Gauri Misra

716 citations
38 papers · 560 · h-index 13

Impact in

Papers in

    • Protein Structure and Dynamics 4
    • vaccines and immunoinformatics approaches 3
    • Ubiquitin and proteasome pathways 2
    • Mechanisms of cancer metastasis 2

Gauri Misra

35 papers receiving 546 citations

Peers

Gauri Misra
Comparison fields: 5 of 80
  • Genetics 113
  • Parasitology 25
  • Molecular Biology 244
  • Public Health, Environmental and Occupational Health 87
  • Plant Science 126
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Phuong Tran United States
Noushad Karuvantevida United Arab Emirates
André da Silva Santiago Brazil
Zongchao Jia Canada
Jehad Almaliti United States
Chen Dong China
You Yu China
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Citations per field
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Citations per year

Countries citing papers authored by Gauri Misra

Since Specialization
Citations

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

Fields of papers citing papers by Gauri Misra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013143
2 198169
3 201662
4 200944
5 201829
6 201327
7 202418
8 202118
9 200913
10 202213
11 202112
12 201112
13 202412
14 201212
15 20129
16 20108
17 20238
18 20188
19 20247
20 20195

About Gauri Misra

Gauri Misra is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Genetics and Computational Theory and Mathematics, having authored 38 papers that have together received 560 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Protein Structure and Dynamics (4 papers), Computational Drug Discovery Methods (4 papers), vaccines and immunoinformatics approaches (3 papers), Ubiquitin and proteasome pathways (2 papers), Microtubule and mitosis dynamics (2 papers), Mechanisms of cancer metastasis (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Genetics (113 citations), Parasitology (25 citations), Molecular Biology (244 citations), Public Health, Environmental and Occupational Health (87 citations) and Plant Science (126 citations). Gauri Misra has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Ravishankar Ramachandran, Srishti Gupta, Swarup K. Parida, Manoj Prasad, Debasis Chattopadhyay, Kamlesh Kumari, Garima Pandey, Chhitar M. Gupta, H.S. Banyal and G. P. Dutta. Their work appears in journals such as Scientific Reports, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Public Health, Environmental Pollution and Brazilian Archives of Biology and Technology.

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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