TJ John

1.4k citations
6 papers · 963 · 1 hit paper · h-index 4

Impact in

Papers in

    • Influenza Virus Research Studies 1
    • Herpesvirus Infections and Treatments 1
    • Hepatitis B Virus Studies 1
    • Vaccine Coverage and Hesitancy 2

TJ John

5 papers receiving 918 citations

TJ John's Hit Papers

Vaccination greatly reduces disease, disability, death and inequity worldwide 2008 · 909 citations
9090+6+12Years since publication250500750

Peers

TJ John
Comparison fields: 5 of 104
  • Health 487
  • Modeling and Simulation 74
  • Infectious Diseases 241
  • Epidemiology 231
  • Microbiology 30
Replace Schmitt Hj with:
Schmitt Hj Germany
BW Lee Singapore
André Fe Belgium
Robert Steinglass United States
Angela K. Shen United States
H.L. Bock Belgium
Patrick O’Connor United States
P E Fine United Kingdom
Cedric Brown United States
Mark Doherty Belgium
TJ John relative to Schmitt Hj Germany Schmitt Hj's profile →
Citations per field
00.5×1.5×
Schmitt Hj · 1×
Citations per year

Countries citing papers authored by TJ John

Since Specialization
Citations

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

Fields of papers citing papers by TJ John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside TJ 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 TJ John Line = papers co-authored together TJ John links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Vaccination greatly reduces disease, disability, death and inequity worldwide
Hit paper breakdown →
2008909
2
Emerging & re-emerging bacterial pathogens in India.
199630
3 199819
4 20083
5
Towards zero transmission of HIV through blood transfusion.
20111
6
Poliovirus neurovirulence and attenuation, a conceptual framework.
19931

About TJ John

TJ John is a scholar working on Epidemiology, Health, Cardiology and Cardiovascular Medicine, Hepatology and Animal Science and Zoology, having authored 6 papers that have together received 963 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (2 papers), Viral Infections and Immunology Research (2 papers), Blood donation and transfusion practices (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper), Influenza Virus Research Studies (1 paper), Herpesvirus Infections and Treatments (1 paper), Hepatitis B Virus Studies (1 paper) and Hepatitis C virus research (1 paper). The work is most often cited by research in Health (487 citations), Modeling and Simulation (74 citations), Infectious Diseases (241 citations), Epidemiology (231 citations) and Microbiology (30 citations). TJ John has collaborated with scholars based in India, Thailand and Belgium. Frequent co-authors include John D. Clemens, Mathuram Santosham, Schmitt Hj, BW Lee, Robert Booy, Heikki Peltola, Somsak Lolekha, André Fe, H.L. Bock and Myron J. Levin. Their work appears in journals such as Bulletin of the World Health Organization, Journal of General Virology and PubMed.

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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