Michael Dodds

48 papers receiving 1.1k citations

Peers

Michael Dodds
Comparison fields: 5 of 137
  • Anesthesiology and Pain Medicine 116
  • Small Animals 121
  • Equine 24
  • Oncology 234
  • Developmental Neuroscience 34
Replace Kazuhisa Furuhama with:
Kazuhisa Furuhama Japan
Marc B. Bailie United States
Shinichi Kobayashi Japan
Sunita J. Shukla United States
W. Gerhardt Sweden
Philippe Jacqmin Belgium
Leonid Kagan United States
Sonia Moretti Italy
W. Haider Germany
Young‐A Heo New Zealand
Michael Dodds relative to Kazuhisa Furuhama Japan Kazuhisa Furuhama's profile →
Citations per field
00.5×10×14.5×
Kazuhisa Furuhama · 1×
Citations per year

Countries citing papers authored by Michael Dodds

Since Specialization
Citations

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

Fields of papers citing papers by Michael Dodds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971181
2 200571
3 200053
4 197053
5 197250
6 198750
7 196648
8 200545
9 201144
10 200839
11 201238
12 201436
13 202336
14 196735
15 201635
16 202127
17 202025
18 202024
19 200522
20 200322

About Michael Dodds

Michael Dodds is a scholar working on Oncology, Molecular Biology, Infectious Diseases, Immunology and Surgery, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Anesthesia and Sedative Agents (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Veterinary Pharmacology and Anesthesia (3 papers), CAR-T cell therapy research (3 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (116 citations), Small Animals (121 citations), Equine (24 citations), Oncology (234 citations) and Developmental Neuroscience (34 citations). Michael Dodds has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Korean J Child, D.J. Twissell, Brittany N. Davis, Paolo Vicini, J. P. Currie, R. D. Foord, Morwenna Muir, Andrew C. Hooker, Philip S. Stewart and Simon P. Langdon. Their work appears in journals such as British Journal of Clinical Pharmacology, Biotechnology and Bioengineering, Frontiers in Immunology, European Journal of Cancer and Annals of Biomedical Engineering.

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