Marisa C. Eisenberg
- Modeling and Simulation top 0.2%
- Infectious Diseases top 2%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology top 5%
- Endocrinology top 1%
- Co-authors
- Joseph H. TienRafael MezaAndrew F. BrouwerJoseph J. DiStefanoJoseph N. S. EisenbergSuzanne L. RobertsonMichael A. L. HayashiAshleigh R. Tuite
- Topics
- COVID-19 epidemiological studies (27 papers)Viral gastroenteritis research and epidemiology (10 papers)Respiratory viral infections research (10 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Marisa C. Eisenberg
92 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 176
- Modeling and Simulation 858
- Infectious Diseases 641
- Public Health, Environmental and Occupational Health 497
- Epidemiology 491
- Endocrinology 347
Countries citing papers authored by Marisa C. Eisenberg
This map shows the geographic impact of Marisa C. Eisenberg'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 Marisa C. Eisenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marisa C. Eisenberg more than expected).
Fields of papers citing papers by Marisa C. Eisenberg
This network shows the impact of papers produced by Marisa C. Eisenberg. 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 Marisa C. Eisenberg. The network helps show where Marisa C. Eisenberg may publish in the future.
Co-authorship network of co-authors of Marisa C. Eisenberg
This figure shows the co-authorship network connecting the top 25 collaborators of Marisa C. Eisenberg. A scholar is included among the top collaborators of Marisa C. Eisenberg 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 Marisa C. Eisenberg. Marisa C. Eisenberg 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 | 1 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 28 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 21 | |
| 13 | 9 | |
| 14 | 12 | |
| 15 | 109 | |
| 16 | 36 | |
| 17 | 15 | |
| 18 | 65 | |
| 19 | 12 | |
| 20 | 2 |
About Marisa C. Eisenberg
Marisa C. Eisenberg is a scholar working on Modeling and Simulation, Endocrinology and Infectious Diseases, having authored 96 papers that have together received 2.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (27 papers), Viral gastroenteritis research and epidemiology (10 papers) and Respiratory viral infections research (10 papers). The work is most often cited by research in Modeling and Simulation (858 citations), Endocrinology (347 citations) and Infectious Diseases (641 citations). Marisa C. Eisenberg has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Joseph H. Tien, Rafael Meza, Andrew F. Brouwer, Joseph J. DiStefano, Joseph N. S. Eisenberg, Suzanne L. Robertson, Michael A. L. Hayashi, Ashleigh R. Tuite, David N. Fisman and Junling Ma. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.