T. May

749 citations
57 papers · 421 · h-index 11

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions
    • Tuberculosis Research and Epidemiology

Papers in

    • Pneumocystis jirovecii pneumonia detection and treatment 6
    • HIV/AIDS Research and Interventions 7
    • Tuberculosis Research and Epidemiology 6
    • HIV/AIDS drug development and treatment 6

T. May

46 papers receiving 388 citations

Peers

T. May
Comparison fields: 5 of 74
  • Virology 89
  • Infectious Diseases 226
  • Applied Microbiology and Biotechnology 17
  • Emergency Medicine 59
  • Epidemiology 191
Replace David Mushatt with:
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Citations per field
00.5×3.2×
David Mushatt · 1×
Citations per year

Countries citing papers authored by T. May

Since Specialization
Citations

This map shows the geographic impact of T. May'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 T. May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. May more than expected).

Fields of papers citing papers by T. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200769
2 200444
3 200839
4
Trimethoprim-sulfamethoxazole versus aerosolized pentamidine for primary prophylaxis of Pneumocystis carinii pneumonia: a prospective, randomized, controlled clinical trial. LFPMI Study Group. Ligue Française de Prévention des Maladies Infectieuses.
199437
5 199635
6 199730
7 200422
8 199816
9 199314
10 201312
11
[Free radicals and HIV infection].
199812
12 19868
13 20067
14 20055
15 20105
16 19935
17 20114
18 19984
19 19924
20 19964

About T. May

T. May is a scholar working on Epidemiology, Infectious Diseases, Virology, Microbiology and Surgery, having authored 57 papers that have together received 421 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (7 papers), Infectious Diseases and Tuberculosis (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers), HIV Research and Treatment (6 papers), Tuberculosis Research and Epidemiology (6 papers), HIV/AIDS drug development and treatment (6 papers), Healthcare Systems and Practices (5 papers) and Antibiotic Use and Resistance (5 papers). The work is most often cited by research in Virology (89 citations), Infectious Diseases (226 citations), Applied Microbiology and Biotechnology (17 citations), Emergency Medicine (59 citations) and Epidemiology (191 citations). T. May has collaborated with scholars based in France, United States and Germany. Frequent co-authors include H. Portier, Patrizia Canton, Geneviève Chêne, D. Neau, Mathieu Picardeau, C. Leport, C. Couzigou, L. Escaut, J.‐L. Meynard and A. Varnerot. Their work appears in journals such as Médecine et Maladies Infectieuses, Journal of Antimicrobial Chemotherapy, Clinical Infectious Diseases, HIV Medicine and Apmis.

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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