Anil Thachil

675 citations
27 papers · 423 indexed · h-index 12

Impact in

Papers in

Anil Thachil

26 papers receiving 415 citations

Peers

Anil Thachil
Comparison fields: 5 of 58
  • Endocrinology 60
  • Microbiology 63
  • Infectious Diseases 152
  • Immunology 140
  • Animal Science and Zoology 61
Replace Federico Scali with:
Federico Scali Italy
Agata Anna Cisek Poland
Nílson Roberti Benites Brazil
J.A. Wagenaar Netherlands
Germán B. Vigo Argentina
Şükrü Kırkan Türkiye
M M Henton South Africa
L. Nuotio Finland
Patchara Phuektes Thailand
Alper ÇİFTCİ Türkiye
Anil Thachil relative to Federico Scali Italy Federico Scali's profile →
Citations per field
00.5×1.5×
Federico Scali · 1×
Citations per year

Countries citing papers authored by Anil Thachil

Since Specialization
Citations

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

Fields of papers citing papers by Anil Thachil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20235
4 20228
5 201927
6 20190
7 20197
8 201815
9 201729
10 201715
11 201716
12 201551
13 201412
14 201311
15 20129
16 201020
17 200912
18
Comparative pathogenicity of early and recent isolates of avian metapneumovirus subtype C in turkeys.
20083
19 20064
20 200617

About Anil Thachil

Anil Thachil is a scholar working on Infectious Diseases, Microbiology, Animal Science and Zoology, Immunology and Clinical Biochemistry, having authored 27 papers that have together received 423 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (8 papers), Streptococcal Infections and Treatments (6 papers), Viral gastroenteritis research and epidemiology (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), Respiratory viral infections research (3 papers), Nail Diseases and Treatments (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Endocrinology (60 citations), Microbiology (63 citations), Infectious Diseases (152 citations), Immunology (140 citations) and Animal Science and Zoology (61 citations). Anil Thachil has collaborated with scholars based in United States, Botswana and Italy. Frequent co-authors include Κ. V. Nagaraja, Daniel P. Shaw, David A. Halvorson, Tanja Opriessnig, Chao‐Ting Xiao, Yao‐Wei Huang, Priscilla F. Gerber, Laura B. Goodman, Martin Wiedmann and Jasna Kovač. Their work appears in journals such as Journal of Veterinary Diagnostic Investigation, Avian Diseases, The Journal of Applied Poultry Research, PLoS ONE and Zoonoses and Public Health.

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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