M.D. Yates

2.5k citations
68 papers · 1.8k · h-index 25

Impact in

Papers in

    • Mycobacterium research and diagnosis 47
    • Pneumocystis jirovecii pneumonia detection and treatment 5
    • Tuberculosis Research and Epidemiology 42

M.D. Yates

67 papers receiving 1.7k citations

Peers

M.D. Yates
Comparison fields: 5 of 105
  • Microbiology 52
  • Infectious Diseases 1.1k
  • Epidemiology 1.2k
  • Small Animals 251
  • Molecular Medicine 62
Replace V. Vincent with:
V. Vincent France
Moisés Palaci Brazil
Richard Lumb Australia
Kingsley Asiedu Switzerland
Richard C. Huard United States
R W Smithwick United States
Patricia Nassos United States
Frederick P. Duncanson United States
Barbara A. Body United States
Gisela Bretzel Germany
M.D. Yates relative to V. Vincent France V. Vincent's profile →
Citations per field
00.5×1.5×
V. Vincent · 1×
Citations per year

Countries citing papers authored by M.D. Yates

Since Specialization
Citations

This map shows the geographic impact of M.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 M.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 M.D. Yates more than expected).

Fields of papers citing papers by M.D. Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984206
2 198579
3
Tuberculosis Bacteriology: Organization And Practice
199776
4 200871
5 199668
6 199064
7 200562
8 200158
9 199457
10 198552
11 198251
12 198646
13 199544
14 199543
15 198343
16 200138
17 200534
18 198134
19 199534
20 198634

About M.D. Yates

M.D. Yates is a scholar working on Epidemiology, Infectious Diseases, Surgery, Small Animals and Molecular Biology, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (47 papers), Tuberculosis Research and Epidemiology (42 papers), Diagnosis and treatment of tuberculosis (10 papers), Infectious Diseases and Tuberculosis (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Infectious Diseases and Mycology (5 papers), Antibiotic Resistance in Bacteria (3 papers) and Actinomycetales infections and treatment (3 papers). The work is most often cited by research in Microbiology (52 citations), Infectious Diseases (1.1k citations), Epidemiology (1.2k citations), Small Animals (251 citations) and Molecular Medicine (62 citations). M.D. Yates has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include John M. Grange, C.H. Collins, J.M. Grange, W. C. Noble, Anton Pozniak, Nicholas A. Saunders, Pan‐Chyr Yang, Justin Jang Hann Chu, Yoonha Hwang and Wei Chen. Their work appears in journals such as Thorax, Journal of Clinical Microbiology, Epidemiology and Infection, Journal of Epidemiology & Community Health and European Journal of Clinical Microbiology & Infectious Diseases.

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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