Mark D. Perkins

17.1k citations
104 papers · 10.5k indexed · 3 hit papers · h-index 43

Mark D. Perkins

101 papers receiving 10.1k citations

Hit Papers

Rapid Molecular Detection of Tuberculosis and Rifampin Re...1.6k200420262011201850010001.5k

Peers

Mark D. Perkins
Comparison fields: 5 of 172
  • Infectious Diseases 6.4k
  • Epidemiology 5.4k
  • Parasitology 496
  • Surgery 2.6k
  • Molecular Medicine 274
Replace Michael Höelscher with:
Michael Höelscher Germany
Hermann Einsele Germany
Edward A. Graviss United States
Catharina Boehme Switzerland
Philippe Colson France
Gary W. Procop United States
Susanna K. P. Lau Hong Kong
Keertan Dheda South Africa
Amalio Telenti Switzerland
Willem J. G. Melchers Netherlands
Mark D. Perkins relative to Michael Höelscher Germany Michael Höelscher's profile →
Citations per field
00.5×1.5×
Michael Höelscher · 1×
Citations per year

Countries citing papers authored by Mark D. Perkins

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Perkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202426
2 20244
3 20231
4 202312
5 201930
6 201526
7 2015115
8 201191
9 2011396
10 2011250
11 2011125
12 2010350
13 2009104
14 200944
15 200836
16
New Tuberculosis Diagnostics
20070
17 2007232
18 200033
19 199991
20
Measurement of sputum Mycobacterium tuberculosis messenger RNA as a surrogate for response to chemotherapy
199910

About Mark D. Perkins

Mark D. Perkins is a scholar working on Health Informatics, Infectious Diseases, Epidemiology, Molecular Medicine and Applied Microbiology and Biotechnology, having authored 104 papers that have together received 10.5k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (47 papers), Mycobacterium research and diagnosis (34 papers), Pneumonia and Respiratory Infections (13 papers), Mosquito-borne diseases and control (12 papers), Diagnosis and treatment of tuberculosis (10 papers), Malaria Research and Control (10 papers), Respiratory viral infections research (9 papers) and Viral Infections and Outbreaks Research (8 papers). The work is most often cited by research in Infectious Diseases (6.4k citations), Epidemiology (5.4k citations), Parasitology (496 citations), Surgery (2.6k citations) and Molecular Medicine (274 citations). Mark D. Perkins has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Jane Cunningham, Rosanna Ŵ. Peeling, David Mabey, Catharina Boehme, Andrew Ustianowski, Madhukar Pai, David Bell, Pamela Nabeta, Andrew Ramsay and R Urbanczik. Their work appears in journals such as The Journal of Infectious Diseases, Journal of Clinical Microbiology, PLoS ONE, Nature Reviews Microbiology and The Lancet.

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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