Laurel J. Gershwin
- Epidemiology top 2%
- Physiology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Immunology top 2%
- Microbiology top 0.5%
- Co-authors
- Victoria MutuaAndrea T. BorchersChristopher ChangM. Eric GershwinEdward S. SchelegleDallas M. HydeRobert L. CoffmanBrian W. P. Seymour
- Topics
- Microbial infections and disease research (44 papers)Respiratory viral infections research (41 papers)Asthma and respiratory diseases (38 papers)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Laurel J. Gershwin
156 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Epidemiology 1.4k
- Physiology 1.1k
- Pulmonary and Respiratory Medicine 1.1k
- Immunology 1.0k
- Microbiology 758
Countries citing papers authored by Laurel J. Gershwin
This map shows the geographic impact of Laurel J. Gershwin'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 Laurel J. Gershwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurel J. Gershwin more than expected).
Fields of papers citing papers by Laurel J. Gershwin
This network shows the impact of papers produced by Laurel J. Gershwin. 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 Laurel J. Gershwin. The network helps show where Laurel J. Gershwin may publish in the future.
Co-authorship network of co-authors of Laurel J. Gershwin
This figure shows the co-authorship network connecting the top 25 collaborators of Laurel J. Gershwin. A scholar is included among the top collaborators of Laurel J. Gershwin 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 Laurel J. Gershwin. Laurel J. Gershwin 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 | 31 | |
| 3 | 21 | |
| 4 | 72 | |
| 5 | 36 | |
| 6 | 20 | |
| 7 | 13 | |
| 8 | 59 | |
| 9 | 22 | |
| 10 | 15 | |
| 11 | 63 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 8 | |
| 16 | 7 | |
| 17 | Diagnosis of inhalant allergy in a chimpanzee using "in vivo" and "in vitro" tests. | 5 |
| 18 | 35 | |
| 19 | 13 | |
| 20 | 7 |
About Laurel J. Gershwin
Laurel J. Gershwin is a scholar working on Microbiology, Immunology and Allergy and Small Animals, having authored 158 papers that have together received 4.5k indexed citations. Recurring topics across this work include Microbial infections and disease research (44 papers), Respiratory viral infections research (41 papers) and Asthma and respiratory diseases (38 papers). The work is most often cited by research in Microbiology (758 citations), Immunology and Allergy (608 citations) and Small Animals (375 citations). Laurel J. Gershwin has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Victoria Mutua, Andrea T. Borchers, Christopher Chang, M. Eric Gershwin, Edward S. Schelegle, Dallas M. Hyde, Robert L. Coffman, Brian W. P. Seymour, Charles G. Plopper and Kathleen E. Friebertshauser. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and PLoS ONE.
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.