Thomas John

120 papers receiving 2.3k citations

Peers

Thomas John
Comparison fields: 5 of 174
  • Infectious Diseases 742
  • Health 262
  • Endocrinology 115
  • Epidemiology 768
  • Microbiology 136
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Carlos Franco‐Paredes United States
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Peter Siba Papua New Guinea
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Donald A. Henderson United States
Éric Caumes France
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Citations per year

Countries citing papers authored by Thomas John

Since Specialization
Citations

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

Fields of papers citing papers by Thomas John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000235
2 2011157
3
Evidence for HTLV-III infection in prostitutes in Tamil Nadu (India).
198793
4 199173
5
Septicaemic melioidosis in a tertiary care hospital in south India.
200364
6 200460
7 199955
8 199854
9
The spectrum of antimicrobial resistance among methicillin resistant Staphylococcus aureus (MRSA) in a tertiary care centre in India.
199646
10 200445
11 200944
12 197642
13 201039
14 198439
15 197938
16 198637
17 202133
18 200833
19 198432
20
Serotyping of Streptococcus pneumoniae by agglutination assays: a cost-effective technique for developing countries.
199631

About Thomas John

Thomas John is a scholar working on Infectious Diseases, Epidemiology, Cardiology and Cardiovascular Medicine, Physiology and Food Science, having authored 126 papers that have together received 2.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (15 papers), Salmonella and Campylobacter epidemiology (13 papers), Viral gastroenteritis research and epidemiology (13 papers), Nonlinear Dynamics and Pattern Formation (12 papers), Viral Infections and Immunology Research (12 papers), Blood properties and coagulation (12 papers), Vaccine Coverage and Hesitancy (12 papers) and Erythrocyte Function and Pathophysiology (11 papers). The work is most often cited by research in Infectious Diseases (742 citations), Health (262 citations), Endocrinology (115 citations), Epidemiology (768 citations) and Microbiology (136 citations). Thomas John has collaborated with scholars based in India, Germany and Luxembourg. Frequent co-authors include Reuben Samuel, Ralf Stannarius, M V Jesudason, Christian Wagner, Lalit Dandona, Atul Sharma, Manish Kakkar, Ashok R. Venkitaraman, Ulrich Behn and Eric A. F. Simões. Their work appears in journals such as Biophysical Journal, Journal of Clinical Microbiology, The Lancet, International Journal of Epidemiology and Transactions of the Royal Society of Tropical Medicine and Hygiene.

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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