Shinto K. John

875 citations
25 papers · 623 indexed · h-index 12

Impact in

    • Reproductive tract infections research
    • Microbial infections and disease research
    • Bird parasitology and diseases
    • Vector-borne infectious diseases

Papers in

    • Reproductive tract infections research 5
    • Microbial infections and disease research 4
    • Bird parasitology and diseases 5
    • Vector-borne infectious diseases 3

Shinto K. John

23 papers receiving 608 citations

Peers

Shinto K. John
Comparison fields: 5 of 55
  • Microbiology 245
  • Parasitology 256
  • Endocrinology 52
  • Animal Science and Zoology 80
  • Infectious Diseases 139
Replace Alenka Dovč with:
Alenka Dovč Slovenia
Tom Pennycott United Kingdom
Zsuzsa Kreizinger Hungary
Tânia de Freitas Raso Brazil
Scott McBurney Canada
Kinga M. Sulyok Hungary
Tibor Magyar Hungary
María José Cubero Pablo Spain
Paola Pilo Switzerland
Nélson Rodrigo da Silva Martins Brazil
Shinto K. John relative to Alenka Dovč Slovenia Alenka Dovč's profile →
Citations per field
00.5×1.5×2.4×
Alenka Dovč · 1×
Citations per year

Countries citing papers authored by Shinto K. John

Since Specialization
Citations

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

Fields of papers citing papers by Shinto K. John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20232
4 202311
5 20226
6 20193
7 20197
8 201916
9 201829
10 20187
11 20176
12 20168
13 201516
14 201461
15 201359
16 201143
17 201167
18 201013
19 2010191
20 20054

About Shinto K. John

Shinto K. John is a scholar working on Microbiology, Microbiology, Parasitology, Virology and Endocrinology, having authored 25 papers that have together received 623 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (6 papers), Bird parasitology and diseases (5 papers), Reproductive tract infections research (5 papers), Wildlife Ecology and Conservation (4 papers), Viral Infections and Vectors (4 papers), Microbial infections and disease research (4 papers), Vector-borne infectious diseases (3 papers) and Rabies epidemiology and control (3 papers). The work is most often cited by research in Microbiology (245 citations), Parasitology (256 citations), Endocrinology (52 citations), Animal Science and Zoology (80 citations) and Infectious Diseases (139 citations). Shinto K. John has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Becki Lawson, Andrew A. Cunningham, Kevin M. Tyler, Julian Chantrey, Laura Hughes, Robert A. Robinson, James Kirkwood, Shaheed K. Macgregor, Diana Bell and Tom Pennycott. Their work appears in journals such as Scientific Reports, Parasitology, Journal of Wildlife Diseases, EcoHealth 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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