Malcolm D. Yates

901 total citations
15 papers, 711 citations indexed

About

Malcolm D. Yates is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Malcolm D. Yates has authored 15 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 13 papers in Epidemiology and 8 papers in Surgery. Recurrent topics in Malcolm D. Yates's work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (12 papers) and Diagnosis and treatment of tuberculosis (6 papers). Malcolm D. Yates is often cited by papers focused on Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (12 papers) and Diagnosis and treatment of tuberculosis (6 papers). Malcolm D. Yates collaborates with scholars based in United Kingdom, Malawi and Maldives. Malcolm D. Yates's co-authors include Francis Drobniewski, Stuart M. Wilson, Annika Krüüner, John M. Grange, Amelia C. Crampin, Paul Fine, Judith R. Glynn, Isabel N Kantor, Hamidou Traore and Bagrey Ngwira and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

In The Last Decade

Malcolm D. Yates

15 papers receiving 682 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Malcolm D. Yates United Kingdom 14 623 608 355 35 34 15 711
Melles Haile Sweden 8 567 0.9× 459 0.8× 194 0.5× 37 1.1× 43 1.3× 12 717
Dimitrios Papaventsis Greece 12 538 0.9× 383 0.6× 185 0.5× 21 0.6× 11 0.3× 25 618
G. B. A. Okelo Kenya 8 242 0.4× 226 0.4× 90 0.3× 20 0.6× 26 0.8× 28 492
Anne‐Claude Crémieux France 10 270 0.4× 195 0.3× 201 0.6× 23 0.7× 6 0.2× 24 494
Marinus Barnard South Africa 11 937 1.5× 860 1.4× 373 1.1× 62 1.8× 25 0.7× 12 978
Didi Bang Denmark 15 593 1.0× 547 0.9× 214 0.6× 57 1.6× 14 0.4× 28 747
Solomon Ghebremichael Sweden 22 1.1k 1.7× 1.0k 1.7× 680 1.9× 42 1.2× 31 0.9× 31 1.1k
K. D. Eisenach United States 10 513 0.8× 470 0.8× 244 0.7× 63 1.8× 51 1.5× 10 598
P. Cruaud France 14 396 0.6× 280 0.5× 223 0.6× 55 1.6× 13 0.4× 40 602
Sean Toney United States 14 379 0.6× 488 0.8× 193 0.5× 13 0.4× 20 0.6× 21 676

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-authorship network of co-authors of Malcolm D. Yates

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm D. Yates. A scholar is included among the top collaborators of Malcolm D. Yates based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Malcolm D. Yates. Malcolm D. Yates is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Houben, Rein M G J, Amelia C. Crampin, Kim Mallard, et al.. (2009). HIV and the risk of tuberculosis due to recent transmission over 12 years in Karonga District, Malawi. Transactions of the Royal Society of Tropical Medicine and Hygiene. 103(12). 1187–1189. 8 indexed citations
2.
Glynn, Judith R., Amelia C. Crampin, Hamidou Traore, et al.. (2008). Determinants of Cluster Size in Large, Population-Based Molecular Epidemiology Study of Tuberculosis, Northern Malawi. Emerging infectious diseases. 14(7). 1060–1066. 20 indexed citations
3.
Krüüner, Annika, Malcolm D. Yates, & Francis Drobniewski. (2006). Evaluation of MGIT 960-Based Antimicrobial Testing and Determination of Critical Concentrations of First- and Second-Line Antimicrobial Drugs with Drug-Resistant Clinical Strains of Mycobacterium tuberculosis. Journal of Clinical Microbiology. 44(3). 811–818. 99 indexed citations
4.
Crampin, Amelia C., Judith R. Glynn, Hamidou Traore, et al.. (2006). Tuberculosis Transmission Attributable to Close Contacts and HIV Status, Malawi. Emerging infectious diseases. 12(5). 729–735. 51 indexed citations
5.
Gopaul, Krishna K., Timothy J. Brown, Andrea L. Gibson, Malcolm D. Yates, & Francis Drobniewski. (2006). Progression Toward an Improved DNA Amplification-Based Typing Technique in the Study of Mycobacterium tuberculosis Epidemiology. Journal of Clinical Microbiology. 44(7). 2492–2498. 29 indexed citations
6.
Glynn, Judith R., Amelia C. Crampin, Malcolm D. Yates, et al.. (2005). The Importance of Recent Infection withMycobacterium tuberculosisin an Area with High HIV Prevalence: A Long‐Term Molecular Epidemiological Study in Northern Malawi. The Journal of Infectious Diseases. 192(3). 480–487. 61 indexed citations
7.
Glynn, Judith R., Amelia C. Crampin, Hamidou Traore, et al.. (2005). Mycobacterium tuberculosisBeijing Genotype, Northern Malawi. Emerging infectious diseases. 11(1). 150–153. 37 indexed citations
8.
Glynn, Judith R., Malcolm D. Yates, Amelia C. Crampin, et al.. (2004). DNA Fingerprint Changes in Tuberculosis: Reinfection, Evolution, or Laboratory Error?. The Journal of Infectious Diseases. 190(6). 1158–1166. 41 indexed citations
9.
Yates, Malcolm D., Francis Drobniewski, & Stuart M. Wilson. (2002). Evaluation of a Rapid PCR-Based Epidemiological Typing Method for Routine Studies of Mycobacterium tuberculosis. Journal of Clinical Microbiology. 40(2). 712–714. 33 indexed citations
10.
Angus, Brian, Malcolm D. Yates, Christopher P. Conlon, & Ivor Byren. (2001). Cutaneous Tuberculosis of the Penis and Sexual Transmission of Tuberculosis Confirmed by Molecular Typing. Clinical Infectious Diseases. 33(11). e132–e134. 48 indexed citations
11.
Yeboah‐Manu, Dorothy, Malcolm D. Yates, & Stuart M. Wilson. (2001). Application of a Simple Multiplex PCR To Aid in Routine Work of the Mycobacterium Reference Laboratory. Journal of Clinical Microbiology. 39(11). 4166–4168. 45 indexed citations
12.
Wilson, Stuart M., et al.. (1998). Comparison of Three Molecular Assays for Rapid Detection of Rifampin Resistance in Mycobacterium tuberculosis. Journal of Clinical Microbiology. 36(7). 1969–1973. 123 indexed citations
13.
Grange, John M., Malcolm D. Yates, & Isabel N Kantor. (1996). Guidelines for speciation within the mycobacterium tuberculosis complex. World Health Organization eBooks. 57 indexed citations
14.
O’Donohue, John, Barbara M. McFarlane, Adrian Bomford, Malcolm D. Yates, & Roger Williams. (1994). Antibodies to atypical mycobacteria in primary biliary cirrhosis. Journal of Hepatology. 21(5). 887–889. 36 indexed citations
15.
Yates, Malcolm D. & John M. Grange. (1988). Incidence and nature of human tuberculosis due to bovine tubercle bacilli in South-East England: 1977–1987. Epidemiology and Infection. 101(2). 225–229. 23 indexed citations

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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