Barnali Nath

760 citations
10 papers · 506 · h-index 7

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

    • Viral Infections and Vectors 4
    • Viral gastroenteritis research and epidemiology 3
    • SARS-CoV-2 and COVID-19 Research 2
    • COVID-19 Clinical Research Studies 1
    • Animal Virus Infections Studies 5

Barnali Nath

10 papers receiving 490 citations

Peers

Barnali Nath
Comparison fields: 5 of 97
  • Infectious Diseases 247
  • Neurology 98
  • Animal Science and Zoology 56
  • Modeling and Simulation 17
  • Obstetrics and Gynecology 24
Replace Yuanyuan Xing with:
Yuanyuan Xing China
Debashis Dutta United States
Claire Muslin Ecuador
Abhigyan Choudhury India
Zehan Pang China
Sameera Al Johani Saudi Arabia
Rebekah Honce United States
Xihua Lian China
Raymond WH Yung Hong Kong
Lilong Jia Hong Kong
Barnali Nath relative to Yuanyuan Xing China Yuanyuan Xing's profile →
Citations per field
00.5×1.5×
Yuanyuan Xing · 1×
Citations per year

Countries citing papers authored by Barnali Nath

Since Specialization
Citations

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

Fields of papers citing papers by Barnali Nath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2020411
2 201719
3 201518
4 201814
5 202013
6 20209
7 20179
8 20186
9 20204
10 20213

About Barnali Nath

Barnali Nath is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Public Health, Environmental and Occupational Health and Genetics, having authored 10 papers that have together received 506 indexed citations. Recurring topics across this work include Virology and Viral Diseases (5 papers), Animal Virus Infections Studies (5 papers), Viral Infections and Vectors (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Mosquito-borne diseases and control (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Virus-based gene therapy research (2 papers) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (247 citations), Neurology (98 citations), Animal Science and Zoology (56 citations), Modeling and Simulation (17 citations) and Obstetrics and Gynecology (24 citations). Barnali Nath has collaborated with scholars based in India, Hong Kong and China. Frequent co-authors include Wilson R. Blomberg, Jatin Machhi, Debashis Dutta, Milankumar Patel, Jonathan Herskovitz, Peter Kline, Linda Chang, Maxim Oleynikov, Raymond Chuen‐Chung Chang and Mahmudul Hasan. Their work appears in journals such as Acta Tropica, Microbial Pathogenesis, Chemical Communications, Transboundary and Emerging Diseases and Journal of Neuroimmune Pharmacology.

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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