M.D. Yates

3.5k citations
96 papers · 2.9k · h-index 32

Impact in

    • Tuberculosis Research and Epidemiology
    • Actinomycetales infections and treatment
    • Medical Device Sterilization and Disinfection

Papers in

M.D. Yates

96 papers receiving 2.6k citations

Peers

M.D. Yates
Comparison fields: 5 of 87
  • Infectious Diseases 1.7k
  • Microbiology 40
  • Epidemiology 858
  • Microbiology 39
  • Hepatology 50
Replace T.D. Chugh with:
T.D. Chugh Kuwait
Bruce A. Hanna United States
F Sánchez Spain
DANNAH W. WRAY United States
Seong Yeol Ryu South Korea
Hans De Beenhouwer Belgium
Frank Bally Switzerland
E. Serruys Belgium
Christian R. Chuard Switzerland
Margarita Salvadó Spain
M.D. Yates relative to T.D. Chugh Kuwait T.D. Chugh's profile →
Citations per field
00.5×2×4×6.5×
T.D. Chugh · 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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984230
2 1998130
3 1994129
4 2006111
5 198586
6
Tuberculosis Bacteriology: Organization And Practice
199782
7 199673
8 199070
9 200169
10 200566
11 200566
12
Guidelines for speciation within the mycobacterium tuberculosis complex
199661
13 200658
14 199457
15 198256
16 200156
17 198555
18 198654
19 198350
20 200150

About M.D. Yates

M.D. Yates is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Surgery and Chemical Health and Safety, having authored 96 papers that have together received 2.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (62 papers), Mycobacterium research and diagnosis (27 papers), Actinomycetales infections and treatment (2 papers), Diagnosis and treatment of tuberculosis (2 papers), Infection Control in Healthcare (2 papers), Clinical Laboratory Practices and Quality Control (1 paper), Orthopedic Infections and Treatments (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). The work is most often cited by research in Infectious Diseases (1.7k citations), Microbiology (40 citations), Epidemiology (858 citations), Microbiology (39 citations) and Hepatology (50 citations). M.D. Yates has collaborated with scholars based in United Kingdom, Malawi and Brazil. Frequent co-authors include John M. Grange, C.H. Collins, Francis A. Drobniewski, Stuart Mark Wilson, John M. Grange, Annika Krüüner, Paul Fine, William Charles Noble, Anton Pozniak and Judith R. Glynn. Their work appears in journals such as Journal of Clinical Microbiology, Thorax, Epidemiology and Infection, Emerging infectious diseases and Clinical 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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