M. Eidson
Impact in
- Endocrinology top 10%
- Escherichia coli research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Antibiotic Resistance in Bacteria 3
-
- Eosinophilic Disorders and Syndromes 3
- Co-authors
- Rossanne M. Philen (2 shared papers)Ronald E. Voorhees (2 shared papers)Edwin M. Kilbourne (2 shared papers)W. Edmund Farrar (3 shared papers)Frederick J. Angulo (1 shared paper)Linda J. Demma (1 shared paper)Jeff B. Bender (1 shared paper)Kaye Wachsmuth (1 shared paper)
- Journals
- The Journal of Infectious Diseases (4 papers)The Lancet (2 papers)Clinical Infectious Diseases (1 paper)Experimental Biology and Medicine (1 paper)Radiology (1 paper)
- Partner nations
- United StatesUgandaPoland
In The Last Decade
M. Eidson
14 papers receiving 353 citations
Peers
Comparison fields: 5 of 65
- Endocrinology 55
- Molecular Medicine 43
- Applied Microbiology and Biotechnology 12
- Food Science 94
- Biological Psychiatry 6
Countries citing papers authored by M. Eidson
This map shows the geographic impact of M. Eidson'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 M. Eidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Eidson more than expected).
Fields of papers citing papers by M. Eidson
This network shows the impact of papers produced by M. Eidson. 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 M. Eidson. The network helps show where M. Eidson may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Eidson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 93 | |
| 2 | 2006 | 82 | |
| 3 | 1985 | 54 | |
| 4 | 1971 | 35 | |
| 5 | 1988 | 32 | |
| 6 | 1972 | 31 | |
| 7 | Predicting the distribution of West Nile fever in North America sensor data | 2002 | 24 |
| 8 | 2005 | 17 | |
| 9 | Compendium of chlamydiosis (psittacosis) control, 1999. Psittacosis Compendium Committee, National Association of State Public Health Veterinarians. | 1999 | 16 |
| 10 | 1971 | 14 | |
| 11 | 1968 | 12 | |
| 12 | 1991 | 9 | |
| 13 | 2008 | 7 | |
| 14 | 1994 | 3 |
About M. Eidson
M. Eidson is a scholar working on Molecular Medicine, Rheumatology, Parasitology, Pharmacology and Biological Psychiatry, having authored 14 papers that have together received 429 indexed citations. Recurring topics across this work include Eosinophilic Disorders and Syndromes (3 papers), Antibiotic Resistance in Bacteria (3 papers), Drug-Induced Adverse Reactions (2 papers), Rabies epidemiology and control (1 paper), Liver physiology and pathology (1 paper), Sepsis Diagnosis and Treatment (1 paper), Bird parasitology and diseases (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Endocrinology (55 citations), Molecular Medicine (43 citations), Applied Microbiology and Biotechnology (12 citations), Food Science (94 citations) and Biological Psychiatry (6 citations). M. Eidson has collaborated with scholars based in United States, Uganda and Poland. Frequent co-authors include Rossanne M. Philen, Ronald E. Voorhees, Edwin M. Kilbourne, W. Edmund Farrar, Frederick J. Angulo, Linda J. Demma, Frederick J. Angulo, Jeff B. Bender, Kaye Wachsmuth and Matthew E. Levy. Their work appears in journals such as The Journal of Infectious Diseases, The Lancet, Clinical Infectious Diseases, Experimental Biology and Medicine and Radiology.
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.