Michael Dodds

52 papers receiving 1.5k citations

Michael Dodds's Hit Papers

Microglia regulate central nervous system myelin growth and integrity 2022 · 343 citations
3430+1+2Years since publication100200300

Peers

Michael Dodds
Comparison fields: 5 of 142
  • Developmental Neuroscience 111
  • Neurology 186
  • Anesthesiology and Pain Medicine 117
  • Small Animals 129
  • Equine 17
Replace Soo Yeon Kim with:
Soo Yeon Kim South Korea
Robert J. Wills United States
Yuki Kimura Japan
Tor Inge Tønnessen Norway
Alessandra Ferrari Italy
Vikas Saini India
A. D. Dayan United Kingdom
Yvon Rabemampianina France
Christine M Ball Israel
Jean‐Marc Vidal France
Michael Dodds relative to Soo Yeon Kim South Korea Soo Yeon Kim's profile →
Citations per field
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Soo Yeon Kim · 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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Microglia regulate central nervous system myelin growth and integrity
Hit paper breakdown →
2022343
2 1971201
3 200573
4 197065
5 200057
6 197254
7 201152
8 198751
9 196650
10 200546
11 200844
12 201443
13 196742
14 202341
15 201240
16 201640
17 201538
18 202135
19 202030
20 202028

About Michael Dodds

Michael Dodds is a scholar working on Oncology, Anesthesiology and Pain Medicine, Pharmacology, Microbiology and Statistics and Probability, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Anesthesia and Sedative Agents (5 papers), Statistical Methods in Clinical Trials (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Veterinary Pharmacology and Anesthesia (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), COVID-19 Clinical Research Studies (2 papers) and Rabies epidemiology and control (2 papers). The work is most often cited by research in Developmental Neuroscience (111 citations), Neurology (186 citations), Anesthesiology and Pain Medicine (117 citations), Small Animals (129 citations) and Equine (17 citations). Michael Dodds has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Korean J Child, David J. Twissell, Brittany N. J. Davis, Paolo Vicini, J. P. Currie, R. D. Foord, Morwenna Muir, Andrew C. Hooker, Philip Shook Stewart and Craig R. Rayner. Their work appears in journals such as British Journal of Clinical Pharmacology, Annals of Biomedical Engineering, Clinical Pharmacokinetics, European Journal of Cancer and Biotechnology and Bioengineering.

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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