Malcolm D. Yates

901 citations
15 papers · 711 · h-index 14

Impact in

    • Tuberculosis Research and Epidemiology
    • Mycobacterium research and diagnosis
    • Pneumocystis jirovecii pneumonia detection and treatment
    • Pneumonia and Respiratory Infections

Papers in

    • Tuberculosis Research and Epidemiology 14
    • Mycobacterium research and diagnosis 12
    • Pneumocystis jirovecii pneumonia detection and treatment 4

Malcolm D. Yates

15 papers receiving 682 citations

Peers

Malcolm D. Yates
Comparison fields: 5 of 58
  • Infectious Diseases 623
  • Epidemiology 608
  • Surgery 355
  • Molecular Medicine 35
  • Hepatology 32
Replace Melles Haile with:
Melles Haile Sweden
Dimitrios Papaventsis Greece
Anne‐Claude Crémieux France
G. B. A. Okelo Kenya
Marinus Barnard South Africa
K. D. Eisenach United States
P. Cruaud France
Solomon Ghebremichael Sweden
Michel Kaswa Democratic Republic of the Congo
Javier Altclas Argentina
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Citations per field
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Citations per year

Countries citing papers authored by Malcolm D. Yates

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm D. Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malcolm D. Yates. 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 Malcolm D. Yates. The network helps show where Malcolm D. Yates may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1998123
2 200699
3 200561
4
Guidelines for speciation within the mycobacterium tuberculosis complex
199657
5 200651
6 200148
7 200145
8 200441
9 200537
10 199436
11 200233
12 200629
13 198823
14 200820
15 20098

About Malcolm D. Yates

Malcolm D. Yates is a scholar working on Infectious Diseases, Epidemiology, Surgery, Small Animals and Virology, having authored 15 papers that have together received 711 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (12 papers), Diagnosis and treatment of tuberculosis (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Infectious Diseases and Tuberculosis (2 papers), Pharmacological Effects of Natural Compounds (1 paper), HIV Research and Treatment (1 paper) and Immune responses and vaccinations (1 paper). The work is most often cited by research in Infectious Diseases (623 citations), Epidemiology (608 citations), Surgery (355 citations), Molecular Medicine (35 citations) and Hepatology (32 citations). Malcolm D. Yates has collaborated with scholars based in United Kingdom, Malawi and Maldives. Frequent co-authors include Francis Drobniewski, Stuart M. Wilson, Annika Krüüner, John M. Grange, Judith R. Glynn, Paul Fine, Amelia C. Crampin, Isabel N Kantor, Hamidou Traore and Bagrey Ngwira. Their work appears in journals such as Journal of Clinical Microbiology, Emerging infectious diseases, The Journal of Infectious Diseases, Clinical Infectious Diseases and Epidemiology and Infection.

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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