Madison Schank
Impact in
- Virology top 5%
- HIV Research and Treatment
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
- Epidemiology 12
- Cytomegalovirus and herpesvirus research 11
- Co-authors
- Jonathan P. Moorman (32 shared papers)Juan Zhao (30 shared papers)Zhi Q. Yao (28 shared papers)Mohamed El Gazzar (29 shared papers)Sushant Khanal (25 shared papers)Shunbin Ning (26 shared papers)Xiao Y. Wu (26 shared papers)Xindi Dang (24 shared papers)
- Journals
- Frontiers in Immunology (7 papers)Cells (3 papers)Cell Death and Disease (2 papers)Viruses (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Madison Schank
31 papers receiving 772 citations
Peers
Comparison fields: 5 of 84
- Virology 148
- Immunology 225
- Aging 17
- Emergency Medicine 75
- Infectious Diseases 138
Countries citing papers authored by Madison Schank
This map shows the geographic impact of Madison Schank'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 Madison Schank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madison Schank more than expected).
Fields of papers citing papers by Madison Schank
This network shows the impact of papers produced by Madison Schank. 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 Madison Schank. The network helps show where Madison Schank may publish in the future.
Co-authors
The 25 scholars most cited alongside Madison Schank, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 94 | |
| 2 | 2021 | 71 | |
| 3 | 2022 | 49 | |
| 4 | 2020 | 45 | |
| 5 | 2020 | 40 | |
| 6 | 2021 | 34 | |
| 7 | 2019 | 34 | |
| 8 | 2021 | 33 | |
| 9 | 2021 | 32 | |
| 10 | 2022 | 31 | |
| 11 | 2019 | 30 | |
| 12 | 2021 | 28 | |
| 13 | 2021 | 28 | |
| 14 | 2019 | 25 | |
| 15 | 2020 | 23 | |
| 16 | 2020 | 22 | |
| 17 | 2020 | 17 | |
| 18 | 2021 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 2023 | 14 |
About Madison Schank
Madison Schank is a scholar working on Epidemiology, Molecular Biology, Immunology, Virology and Infectious Diseases, having authored 32 papers that have together received 773 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (11 papers), HIV Research and Treatment (8 papers), Immune cells in cancer (5 papers), Telomeres, Telomerase, and Senescence (5 papers), HIV-related health complications and treatments (4 papers), COVID-19 Clinical Research Studies (4 papers), Cancer-related molecular mechanisms research (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). The work is most often cited by research in Virology (148 citations), Immunology (225 citations), Aging (17 citations), Emergency Medicine (75 citations) and Infectious Diseases (138 citations). Madison Schank has collaborated with scholars based in United States and China. Frequent co-authors include Jonathan P. Moorman, Juan Zhao, Zhi Q. Yao, Mohamed El Gazzar, Sushant Khanal, Shunbin Ning, Xiao Y. Wu, Xindi Dang, Dechao Cao and Ling Wang. Their work appears in journals such as Frontiers in Immunology, Cells, Cell Death and Disease, Viruses and Scientific Reports.
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.