M. E. LeFevre
Impact in
- Pharmaceutical Science top 2%
- Advanced Drug Delivery Systems
- Drug Solubulity and Delivery Systems
- Equine top 10%
Papers in
- Ecology 5
- Physiological and biochemical adaptations 5
-
- Neuropeptides and Animal Physiology 2
- Co-authors
- D. D. Joel (5 shared papers)J. W. Vanderhoff (2 shared papers)Jean A. Laissue (1 shared paper)D D Joel (1 shared paper)David C. Hancock (1 shared paper)J Laissue (1 shared paper)G. Schidlovsky (1 shared paper)Joseph F. Gennaro (3 shared papers)
- Journals
- Experimental Biology and Medicine (4 papers)American Journal of Physiology-Legacy Content (3 papers)The Anatomical Record (3 papers)Pathobiology (2 papers)BioScience (1 paper)
- Partner nations
- United StatesMalaysia
In The Last Decade
M. E. LeFevre
24 papers receiving 529 citations
Peers
Comparison fields: 5 of 95
- Pharmaceutical Science 171
- Equine 12
- Immunology 96
- Endocrinology 21
- Neurology 32
Countries citing papers authored by M. E. LeFevre
This map shows the geographic impact of M. E. LeFevre'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. E. LeFevre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. E. LeFevre more than expected).
Fields of papers citing papers by M. E. LeFevre
This network shows the impact of papers produced by M. E. LeFevre. 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. E. LeFevre. The network helps show where M. E. LeFevre may publish in the future.
Co-authors
The 13 scholars most cited alongside M. E. LeFevre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1978 | 92 | |
| 2 | 1978 | 73 | |
| 3 | Distribution and fate of ingested carbon particles in mice. | 1978 | 62 |
| 4 | 1989 | 57 | |
| 5 | 1980 | 53 | |
| 6 | 1985 | 52 | |
| 7 | 1977 | 39 | |
| 8 | 1985 | 27 | |
| 9 | 1969 | 21 | |
| 10 | 1986 | 14 | |
| 11 | 1973 | 14 | |
| 12 | 1970 | 13 | |
| 13 | 1973 | 12 | |
| 14 | 1970 | 12 | |
| 15 | 1970 | 9 | |
| 16 | 1983 | 7 | |
| 17 | 1971 | 7 | |
| 18 | 1973 | 6 | |
| 19 | 1972 | 5 | |
| 20 | 1977 | 4 |
About M. E. LeFevre
M. E. LeFevre is a scholar working on Ecology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Molecular Biology and Neurology, having authored 24 papers that have together received 586 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (5 papers), Inhalation and Respiratory Drug Delivery (3 papers), Veterinary Equine Medical Research (3 papers), Neuropeptides and Animal Physiology (2 papers), Hormonal and reproductive studies (2 papers), Barrier Structure and Function Studies (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Digestive system and related health (2 papers). The work is most often cited by research in Pharmaceutical Science (171 citations), Equine (12 citations), Immunology (96 citations), Endocrinology (21 citations) and Neurology (32 citations). M. E. LeFevre has collaborated with scholars based in United States and Malaysia. Frequent co-authors include D. D. Joel, J. W. Vanderhoff, Jean A. Laissue, D D Joel, David C. Hancock, J Laissue, G. Schidlovsky, Joseph F. Gennaro, U. Reincke and Herman R. Wyssbrod. Their work appears in journals such as Experimental Biology and Medicine, American Journal of Physiology-Legacy Content, The Anatomical Record, Pathobiology and BioScience.
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.