Nutan Mytle

817 citations
8 papers · 671 · h-index 8

Impact in

    • Transgenic Plants and Applications
  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

    • Influenza Virus Research Studies 7
    • Respiratory viral infections research 4
    • Viral gastroenteritis research and epidemiology 2
    • Viral Infections and Outbreaks Research 1
    • SARS-CoV-2 and COVID-19 Research 1

Nutan Mytle

8 papers receiving 615 citations

Peers

Nutan Mytle
Comparison fields: 5 of 49
  • Biotechnology 133
  • Epidemiology 434
  • Infectious Diseases 212
  • Agronomy and Crop Science 113
  • Immunology 235
Replace Giulia Lapini with:
Giulia Lapini Italy
Corey J. Crevar United States
J. T. M. Voeten Netherlands
Barry Ellefsen United States
Denis Rusalov United States
Robert J. Drape United States
Л. М. Цыбалова Russia
Darya Zharikova United States
Kazutoshi Matsuo Japan
Л. А. Степанова Russia
Nutan Mytle relative to Giulia Lapini Italy Giulia Lapini's profile →
Citations per field
00.5×1.5×2.4×
Giulia Lapini · 1×
Citations per year

Countries citing papers authored by Nutan Mytle

Since Specialization
Citations

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

Fields of papers citing papers by Nutan Mytle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2007232
2 2008152
3 2008109
4 200886
5 200836
6 201334
7 201415
8 20217

About Nutan Mytle

Nutan Mytle is a scholar working on Epidemiology, Infectious Diseases, Immunology, Molecular Biology and Biotechnology, having authored 8 papers that have together received 671 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Respiratory viral infections research (4 papers), Viral gastroenteritis research and epidemiology (2 papers), interferon and immune responses (1 paper), Viral Infections and Outbreaks Research (1 paper), Vibrio bacteria research studies (1 paper), Bacillus and Francisella bacterial research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Biotechnology (133 citations), Epidemiology (434 citations), Infectious Diseases (212 citations), Agronomy and Crop Science (113 citations) and Immunology (235 citations). Nutan Mytle has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Donald M. Carter, Ted M. Ross, Rick A. Bright, Thomas Rowe, Peter Pushko, Gale Smith, Franklin R. Toapanta, Jenna E. Achenbach, Corey J. Crevar and Kutubuddin Mahmood. Their work appears in journals such as Vaccine, Antimicrobial Agents and Chemotherapy, Journal of Virology, PLoS ONE and Viruses.

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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