Mark D. Perkins

17.1k total citations · 3 hit papers
104 papers, 10.5k citations indexed

About

Mark D. Perkins is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Mark D. Perkins has authored 104 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Infectious Diseases, 55 papers in Epidemiology and 17 papers in Surgery. Recurrent topics in Mark D. Perkins's work include Tuberculosis Research and Epidemiology (47 papers), Mycobacterium research and diagnosis (34 papers) and Pneumonia and Respiratory Infections (13 papers). Mark D. Perkins is often cited by papers focused on Tuberculosis Research and Epidemiology (47 papers), Mycobacterium research and diagnosis (34 papers) and Pneumonia and Respiratory Infections (13 papers). Mark D. Perkins collaborates with scholars based in Switzerland, United States and United Kingdom. Mark D. Perkins's 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 and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Mark D. Perkins

101 papers receiving 10.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Rapid Molecular Detection of Tuberculosis and Rifampin Resistance

2010 1.6k citations Catharina Boehme, Pamela Nabeta et al. profile →
Diagnostics for the developing world

2004 791 citations Mark D. Perkins et al. profile →
Fluorescence versus conventional sputum smear microscopy for tuberculosis: a systematic review

2006 579 citations Jane Cunningham, Mark D. Perkins et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark D. Perkins Switzerland	43	6.4k	5.4k	2.6k	1.7k	1.7k	104	10.5k
Michael Höelscher Germany	50	9.1k 1.4×	4.6k 0.9×	1.9k 0.7×	997 0.6×	1.5k 0.8×	223	12.6k
Yong Poovorawan Thailand	54	6.0k 0.9×	8.2k 1.5×	1.1k 0.4×	449 0.3×	1.8k 1.0×	763	15.4k
Edward A. Graviss United States	54	6.3k 1.0×	5.3k 1.0×	3.2k 1.2×	282 0.2×	1.3k 0.8×	364	10.9k
Marc Van Ranst Belgium	68	11.8k 1.9×	5.9k 1.1×	1.7k 0.6×	409 0.2×	2.1k 1.2×	438	20.2k
Catharina Boehme Switzerland	37	6.6k 1.0×	5.2k 1.0×	3.3k 1.3×	819 0.5×	1.0k 0.6×	74	8.3k
Susanna K. P. Lau Hong Kong	79	16.2k 2.6×	7.2k 1.3×	954 0.4×	552 0.3×	3.6k 2.1×	444	25.5k
Tim Peto United Kingdom	74	7.0k 1.1×	6.5k 1.2×	2.1k 0.8×	315 0.2×	3.8k 2.2×	258	17.8k
Patrick Berche France	69	2.8k 0.4×	3.2k 0.6×	968 0.4×	599 0.3×	4.0k 2.3×	301	16.4k
Guy Thwaites United Kingdom	65	6.4k 1.0×	4.4k 0.8×	5.2k 2.0×	216 0.1×	1.5k 0.8×	310	14.3k
Gary W. Procop United States	55	3.4k 0.5×	3.4k 0.6×	1.1k 0.4×	456 0.3×	1.2k 0.7×	250	8.4k

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 of co-authors of Mark D. Perkins

This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. Perkins. A scholar is included among the top collaborators of Mark D. Perkins 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 Mark D. Perkins. Mark D. Perkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Proniewska, Klaudia, et al.. (2024). Cardiac Healthcare Digital Twins Supported by Artificial Intelligence-Based Algorithms and Extended Reality—A Systematic Review. Electronics. 13(5). 866–866. 26 indexed citations

Pręgowska, Agnieszka & Mark D. Perkins. (2024). Artificial intelligence in medical education: Typologies and ethical approaches. SHILAP Revista de lepidopterología. 14(1-2). 96–113. 4 indexed citations

Worp, Nathalie, Lorenzo Subissi, Mark D. Perkins, et al.. (2023). Towards the development of a SARS-CoV-2 variant risk assessment tool: expert consultation on the assessment of scientific evidence on emerging variants. The Lancet Microbe. 4(10). e830–e836. 1 indexed citations

Han, Alvin X., Jilian A. Sacks, Mark D. Perkins, et al.. (2023). SARS-CoV-2 diagnostic testing rates determine the sensitivity of genomic surveillance programs. Nature Genetics. 55(1). 26–33. 12 indexed citations

Jiao, Shuping, Jan Hazebroek, Mark A. Chamberlin, et al.. (2019). Chitinase-like1 Plays a Role in Stalk Tensile Strength in Maize. PLANT PHYSIOLOGY. 181(3). 1127–1147. 30 indexed citations

Salamon, Hugh, Ken Yamaguchi, Daniela María Cirillo, et al.. (2015). Integration of Published Information Into a Resistance-Associated Mutation Database for Mycobacterium tuberculosis. The Journal of Infectious Diseases. 211(suppl_2). S50–S57. 26 indexed citations

Broadhurst, M. Jana, J. Daniel Kelly, Ann C. Miller, et al.. (2015). ReEBOV Antigen Rapid Test kit for point-of-care and laboratory-based testing for Ebola virus disease: a field validation study. The Lancet. 386(9996). 867–874. 115 indexed citations

Blakemore, Robert, Pamela Nabeta, Amy L. Davidow, et al.. (2011). A Multisite Assessment of the Quantitative Capabilities of the Xpert MTB/RIF Assay. American Journal of Respiratory and Critical Care Medicine. 184(9). 1076–1084. 91 indexed citations

François, Patrice, Manuela Tangomo, Jonathan R. Hibbs, et al.. (2011). Robustness of a loop-mediated isothermal amplification reaction for diagnostic applications. FEMS Immunology & Medical Microbiology. 62(1). 41–48. 396 indexed citations

10.

Vassall, Anna, Sanne van Kampen, Hojoon Sohn, et al.. (2011). Rapid Diagnosis of Tuberculosis with the Xpert MTB/RIF Assay in High Burden Countries: A Cost-Effectiveness Analysis. PLoS Medicine. 8(11). e1001120–e1001120. 250 indexed citations

11.

Rachow, Andrea, Alimuddin Zumla, Norbert Heinrich, et al.. (2011). Rapid and Accurate Detection of Mycobacterium tuberculosis in Sputum Samples by Cepheid Xpert MTB/RIF Assay—A Clinical Validation Study. PLoS ONE. 6(6). e20458–e20458. 125 indexed citations

12.

Wallis, Robert S., Madhukar Pai, Dick Menzies, et al.. (2010). Biomarkers and diagnostics for tuberculosis: progress, needs, and translation into practice. The Lancet. 375(9729). 1920–1937. 350 indexed citations

13.

Pai, Madhukar, Jessica Minion, Hojoon Sohn, Alice Zwerling, & Mark D. Perkins. (2009). Novel and Improved Technologies for Tuberculosis Diagnosis: Progress and Challenges. Clinics in Chest Medicine. 30(4). 701–716. 104 indexed citations

14.

Cannas, Angela, Clare Green, Klaus Reither, et al.. (2009). Implications of Storing Urinary DNA from Different Populations for Molecular Analyses. PLoS ONE. 4(9). e6985–e6985. 44 indexed citations

15.

Acuña-Villaorduña, Carlos, Anna Vassall, Germán Henostroza, et al.. (2008). Cost‐Effectiveness Analysis of Introduction of Rapid, Alternative Methods to Identify Multidrug‐Resistant Tuberculosis in Middle‐Income Countries. Clinical Infectious Diseases. 47(4). 487–495. 36 indexed citations

16.

Perkins, Mark D.. (2007). New Tuberculosis Diagnostics.

17.

Perkins, Mark D. & Jane Cunningham. (2007). Facing the Crisis: Improving the Diagnosis of Tuberculosis in the HIV Era. The Journal of Infectious Diseases. 196(s1). S15–S27. 232 indexed citations

18.

Wallis, Robert S., Mark D. Perkins, Manijeh Phillips, et al.. (2000). Predicting the Outcome of Therapy for Pulmonary Tuberculosis. American Journal of Respiratory and Critical Care Medicine. 161(4). 1076–1080. 33 indexed citations

19.

DesJardin, Lucy E., Mark D. Perkins, Kathy Wolski, et al.. (1999). Measurement of Sputum Mycobacterium tuberculosis Messenger RNA as a Surrogate for Response to Chemotherapy. American Journal of Respiratory and Critical Care Medicine. 160(1). 203–210. 91 indexed citations

20.

DesJardin, Lucy E., Mark D. Perkins, Kathy Wolski, et al.. (1999). Measurement of sputum Mycobacterium tuberculosis messenger RNA as a surrogate for response to chemotherapy. 67. 10 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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