David M. Mitchell

90 papers receiving 2.9k citations

Peers

David M. Mitchell
Comparison fields: 5 of 175
  • Cellular and Molecular Neuroscience 515
  • Virology 105
  • Dermatology 147
  • Infectious Diseases 305
  • Cell Biology 268
Replace Jeffrey L. Fox with:
Jeffrey L. Fox United States
Joseph Kaplan United States
William S. Lynn United States
Chang‐Hoon Kim South Korea
A. E. Vatter United States
Yutaka Morita Japan
Lucy M. Anderson United States
Christine Neumann Germany
Peter Reed New Zealand
John Casey United States
David M. Mitchell relative to Jeffrey L. Fox United States Jeffrey L. Fox's profile →
Citations per field
00.5×
Jeffrey L. Fox · 1×
Citations per year

Countries citing papers authored by David M. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by David M. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Mitchell. 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 David M. Mitchell. The network helps show where David M. Mitchell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997284
2 2006183
3 2009165
4 1998151
5 1995148
6 1997128
7
Comparison of the responses of human melanocytes with different melanin contents to ultraviolet B irradiation.
1995116
8 1997114
9 200697
10 199394
11 198590
12 200579
13 199673
14 198870
15 199867
16 199258
17 200056
18 200149
19 198448
20 198347

About David M. Mitchell

David M. Mitchell is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 95 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (22 papers), Photosynthetic Processes and Mechanisms (13 papers), HIV/AIDS drug development and treatment (9 papers), Tuberculosis Research and Epidemiology (9 papers), Photoreceptor and optogenetics research (9 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Hemoglobin structure and function (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (515 citations), Virology (105 citations), Dermatology (147 citations), Infectious Diseases (305 citations) and Cell Biology (268 citations). David M. Mitchell has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Robert B. Gennis, Jeanne M. Harris, Terrel Gallaway, D J Hendrick, Reed Neil Olsen, Andrey D. Kaulen, Sergey A. Siletsky, Alexander A. Konstantinov, Yan Liang and Lydia J. Bright. Their work appears in journals such as Thorax, Biochemistry, AIDS, The Annals of Family Medicine and International Journal of STD & AIDS.

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.

Explore authors with similar magnitude of impact