Sunil Kumar Mor

2.1k citations
113 papers · 1.5k · h-index 21

Impact in

Papers in

Sunil Kumar Mor

110 papers receiving 1.5k citations

Peers

Sunil Kumar Mor
Comparison fields: 5 of 86
  • Animal Science and Zoology 723
  • Infectious Diseases 798
  • Agronomy and Crop Science 173
  • Cardiology and Cardiovascular Medicine 337
  • Microbiology 84
Replace Hua Yue with:
Hua Yue China
Szilvia Marton Hungary
Szilvia L. Farkas Hungary
Beatrix Kapusinszky United States
Nádia Conceição‐Neto Belgium
Hye Kwon Kim South Korea
Magdalena Dunowska New Zealand
Shixing Yang China
Lucy Ward United States
Choi‐Kyu Park South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Sunil Kumar Mor

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Kumar Mor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil Kumar Mor. 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 Sunil Kumar Mor. The network helps show where Sunil Kumar Mor may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018169
2 201851
3 201451
4 201246
5 201645
6 201337
7 201837
8 201435
9 201335
10 201734
11 201333
12 201232
13 201430
14 201529
15 201228
16 202028
17 201928
18 201727
19 202425
20 201625

About Sunil Kumar Mor

Sunil Kumar Mor is a scholar working on Animal Science and Zoology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology and Agronomy and Crop Science, having authored 113 papers that have together received 1.5k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (70 papers), Viral gastroenteritis research and epidemiology (59 papers), Viral Infections and Immunology Research (36 papers), Virus-based gene therapy research (15 papers), Animal Disease Management and Epidemiology (11 papers), Respiratory viral infections research (10 papers), Plant Virus Research Studies (9 papers) and Aquaculture disease management and microbiota (9 papers). The work is most often cited by research in Animal Science and Zoology (723 citations), Infectious Diseases (798 citations), Agronomy and Crop Science (173 citations), Cardiology and Cardiovascular Medicine (337 citations) and Microbiology (84 citations). Sunil Kumar Mor has collaborated with scholars based in United States, Egypt and India. Frequent co-authors include Sagar Mal Goyal, Nicholas B. D. Phelps, Robert E. Porter, Tamer A. Sharafeldin, Harsha Verma, Devi P. Patnayak, Naresh Jindal, Aschalew Z. Bekele, Aníbal G. Armién and Shimaa M. G. Mansour. Their work appears in journals such as Avian Diseases, Archives of Virology, Frontiers in Veterinary Science, Journal of Veterinary Diagnostic Investigation 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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