Mark J. Lee

3.4k citations
56 papers · 2.5k · h-index 25

Impact in

    • Antifungal resistance and susceptibility
    • SARS-CoV-2 detection and testing
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

Mark J. Lee

53 papers receiving 2.5k citations

Peers

Mark J. Lee
Comparison fields: 5 of 133
  • Infectious Diseases 1.1k
  • Periodontics 106
  • Endocrinology 75
  • Modeling and Simulation 62
  • Microbiology 77
Replace Markus Hufnagel with:
Markus Hufnagel Germany
Ian H. McHardy United States
Robert G. E. Krause Austria
Jonathan E. Schmitz United States
Justine Rudkin United Kingdom
Efthimia Petinaki Greece
Michela Sali Italy
Silvio Daniel Brugger Switzerland
Emil Christian Reisinger Germany
Robert M. Rakita United States
Mark J. Lee relative to Markus Hufnagel Germany Markus Hufnagel's profile →
Citations per field
00.5×2×3×3.6×
Markus Hufnagel · 1×
Citations per year

Countries citing papers authored by Mark J. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013256
2 2016242
3 2020178
4 2000162
5 2020148
6 2015147
7 2021129
8 2001116
9 201698
10 201395
11 200180
12 201579
13 201674
14 202069
15 201662
16 201056
17 202055
18 202140
19 199734
20 200933

About Mark J. Lee

Mark J. Lee is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Epidemiology, Rheumatology and Immunology, having authored 56 papers that have together received 2.5k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (11 papers), SARS-CoV-2 detection and testing (8 papers), Invertebrate Immune Response Mechanisms (4 papers), Insect symbiosis and bacterial influences (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Musculoskeletal synovial abnormalities and treatments (3 papers), Biosensors and Analytical Detection (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Periodontics (106 citations), Endocrinology (75 citations), Modeling and Simulation (62 citations) and Microbiology (77 citations). Mark J. Lee has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Donald C. Sheppard, Peter L. Munk, Bassam A. Masri, Brendan D. Snarr, D L Janzen, Mark B Loeb, Reem A. Mustafa, Mohammad Hassan Murad, Rebecca L. Morgan and Adarsh Bhimraj. Their work appears in journals such as Clinical Infectious Diseases, PLoS Pathogens, Journal of Clinical Microbiology, The Journal of Infectious Diseases and American Journal of Transplantation.

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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