James Smith

3.8k citations
49 papers · 1.4k · h-index 21

Impact in

    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Pneumonia and Respiratory Infections
    • Reproductive tract infections research

Papers in

    • Influenza Virus Research Studies 15
    • Respiratory viral infections research 3
    • Cervical Cancer and HPV Research 2
    • Pneumonia and Respiratory Infections 2

James Smith

49 papers receiving 1.3k citations

Peers

James Smith
Comparison fields: 5 of 122
  • Epidemiology 747
  • Microbiology 84
  • Infectious Diseases 225
  • Modeling and Simulation 43
  • Immunology 114
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Citations per field
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Jane R. Zucker · 1×
Citations per year

Countries citing papers authored by James Smith

Since Specialization
Citations

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

Fields of papers citing papers by James Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005350
2 2009137
3 199980
4 201053
5 201053
6 200748
7 201046
8 199344
9
Menstrual symptoms in women infected by the human immunodeficiency virus.
199444
10 201144
11 198941
12
Comparison of doxycycline and a chemically modified tetracycline inhibition of leukocyte functions.
199238
13 199137
14 200933
15 201332
16 200130
17 201029
18 200628
19 197425
20 201120

About James Smith

James Smith is a scholar working on Epidemiology, Infectious Diseases, Immunology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (15 papers), Respiratory viral infections research (3 papers), Reproductive tract infections research (3 papers), Cervical Cancer and HPV Research (2 papers), Pneumonia and Respiratory Infections (2 papers), Receptor Mechanisms and Signaling (2 papers), Hepatitis C virus research (2 papers) and Adolescent Sexual and Reproductive Health (2 papers). The work is most often cited by research in Epidemiology (747 citations), Microbiology (84 citations), Infectious Diseases (225 citations), Modeling and Simulation (43 citations) and Immunology (114 citations). James Smith has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Regina Dutkowski, Penelope Ward, Ian Small, Stephen Toovey, Craig R. Rayner, B. E. Davies, Susan T. Sacks, V. S. Kitchen, Robert E. Ariano and Teresa McNally. Their work appears in journals such as Obstetrical & Gynecological Survey, Sexually Transmitted Infections, Journal of Antimicrobial Chemotherapy, Veterinary Record and BJOG An International Journal of Obstetrics & Gynaecology.

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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