Jennifer Michaels
- Virology top 1%
- Neurology top 5%
- Infectious Diseases top 10%
- Molecular Biology
- Epidemiology
- Co-authors
- Leroy R. SharerLeon G. EpsteinRichard W. PriceMarc RosenblumEarl A. ZimmermanAnn‐Judith SilvermanJulie A. WilkinsDonald L. Hoffman
- Topics
- HIV Research and Treatment (7 papers)Muscle Physiology and Disorders (4 papers)Peripheral Neuropathies and Disorders (3 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jennifer Michaels
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 79
- Virology 567
- Neurology 262
- Infectious Diseases 221
- Molecular Biology 195
- Epidemiology 162
Countries citing papers authored by Jennifer Michaels
This map shows the geographic impact of Jennifer Michaels'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 Jennifer Michaels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Michaels more than expected).
Fields of papers citing papers by Jennifer Michaels
This network shows the impact of papers produced by Jennifer Michaels. 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 Jennifer Michaels. The network helps show where Jennifer Michaels may publish in the future.
Co-authorship network of co-authors of Jennifer Michaels
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Michaels. A scholar is included among the top collaborators of Jennifer Michaels based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer Michaels. Jennifer Michaels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 2 | |
| 6 | 32 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 44 | |
| 14 | Expression of mouse nicotinic acetylcholine receptor (nAChR) genes in the developing thymus | 1 |
| 15 | 42 | |
| 16 | 1 | |
| 17 | HIV-2-associated AIDS in the United States. The first case. | 6 |
| 18 | 121 | |
| 19 | Human immunodeficiency virus type 1 (HIV-1) infection of the nervous system: a review. | 89 |
| 20 | 225 |
About Jennifer Michaels
Jennifer Michaels is a scholar working on Virology, Neurology and Small Animals, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Muscle Physiology and Disorders (4 papers) and Peripheral Neuropathies and Disorders (3 papers). The work is most often cited by research in Virology (567 citations), Neurology (262 citations) and Endocrine and Autonomic Systems (144 citations). Jennifer Michaels has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Leroy R. Sharer, Leon G. Epstein, Richard W. Price, Marc Rosenblum, Earl A. Zimmerman, Ann‐Judith Silverman, Julie A. Wilkins, Donald L. Hoffman, Gajanan Nilaver and Therese Cvetkovich. Their work appears in journals such as PLoS ONE, Neurology and Journal of Cell Science.
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.