Sunil K. Mor

2.0k citations
108 papers · 1.3k · h-index 20

Impact in

Papers in

Sunil K. Mor

104 papers receiving 1.3k citations

Peers

Sunil K. Mor
Comparison fields: 5 of 83
  • Animal Science and Zoology 674
  • Infectious Diseases 719
  • Cardiology and Cardiovascular Medicine 335
  • Agronomy and Crop Science 153
  • Microbiology 63
Replace Beatrix Kapusinszky with:
Beatrix Kapusinszky United States
Szilvia Marton Hungary
Hua Yue China
Hye Kwon Kim South Korea
Shixing Yang China
Sebastiaan Theuns Belgium
Charlotte Kristiane Hjulsager Denmark
C. Desario Italy
Szilvia L. Farkas Hungary
Marta Sabara Canada
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Citations per field
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Beatrix Kapusinszky · 1×
Citations per year

Countries citing papers authored by Sunil K. Mor

Since Specialization
Citations

This map shows the geographic impact of Sunil K. 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 K. 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 K. Mor more than expected).

Fields of papers citing papers by Sunil K. Mor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201850
2 201645
3 201445
4 201244
5 201338
6 201836
7 201436
8 201333
9 201732
10 201331
11 201231
12 201431
13 201928
14 201228
15 202027
16 201527
17 201626
18 201726
19 201424
20 201421

About Sunil K. Mor

Sunil K. Mor is a scholar working on Animal Science and Zoology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology and Genetics, having authored 108 papers that have together received 1.3k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (70 papers), Viral gastroenteritis research and epidemiology (60 papers), Viral Infections and Immunology Research (37 papers), Virus-based gene therapy research (15 papers), Animal Disease Management and Epidemiology (11 papers), Aquaculture disease management and microbiota (9 papers), Herpesvirus Infections and Treatments (8 papers) and Plant Virus Research Studies (8 papers). The work is most often cited by research in Animal Science and Zoology (674 citations), Infectious Diseases (719 citations), Cardiology and Cardiovascular Medicine (335 citations), Agronomy and Crop Science (153 citations) and Microbiology (63 citations). Sunil K. Mor has collaborated with scholars based in United States, Egypt and India. Frequent co-authors include Sagar M. Goyal, Nicholas B. D. Phelps, Robert E. Porter, Tamer A. Sharafeldin, Harsha Verma, Devi P. Patnayak, Naresh Jindal, Aníbal G. Armién, Aschalew Z. Bekele and Shimaa M. G. Mansour. Their work appears in journals such as Avian Diseases, Archives of Virology, Journal of Veterinary Diagnostic Investigation, PLoS ONE and Frontiers in Veterinary Science.

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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