Michael J. Dark

42 papers receiving 847 citations

Peers

Michael J. Dark
Comparison fields: 5 of 82
  • Parasitology 430
  • Insect Science 192
  • Infectious Diseases 273
  • Microbiology 53
  • Ecology, Evolution, Behavior and Systematics 151
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Tomoko Tajima Japan
Gwen Wilkie United Kingdom
Bernardo Chessa Italy
Isabel Kinney Ferreira de Miranda Santos Brazil
Jon B. Huder Switzerland
Gerhard H. Reubel United States
Ana Duarte Portugal
Masahito Asada Japan
Jindrǐch Chmelař Czechia
Itzhak Aizenberg Israel
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Citations per field
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Citations per year

Countries citing papers authored by Michael J. Dark

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Dark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004210
2 200872
3 200159
4 200758
5 201255
6 200946
7 200646
8 201128
9 201328
10 200826
11 202023
12 201721
13 201215
14 201415
15 201213
16 201613
17 201912
18 200212
19 201611
20 200810

About Michael J. Dark

Michael J. Dark is a scholar working on Pulmonary and Respiratory Medicine, Parasitology, Molecular Biology, Infectious Diseases and Immunology, having authored 44 papers that have together received 872 indexed citations. Recurring topics across this work include Veterinary Oncology Research (12 papers), Vector-borne infectious diseases (10 papers), Viral Infections and Vectors (7 papers), Insect symbiosis and bacterial influences (4 papers), Oral and Maxillofacial Pathology (4 papers), Microbial infections and disease research (3 papers), Sarcoma Diagnosis and Treatment (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Parasitology (430 citations), Insect Science (192 citations), Infectious Diseases (273 citations), Microbiology (53 citations) and Ecology, Evolution, Behavior and Systematics (151 citations). Michael J. Dark has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Kelly A. Brayton, Guy H. Palmer, Donald P. Knowles, Lowell S. Kappmeyer, David R. Herndon, Travis C. McGuire, Wendy C. Brown, Anthony F. Barbet, James E. Futse and Job E. López. Their work appears in journals such as Journal of Veterinary Diagnostic Investigation, Veterinary Clinical Pathology, Infection and Immunity, Veterinary Pathology and Proceedings of the National Academy of Sciences.

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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