Catherine Snopkowski
Impact in
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- Single-cell and spatial transcriptomics 5
- Extracellular vesicles in disease 3
- Oncology 7
- Polyomavirus and related diseases 7
- Co-authors
- Darshana M. Dadhania (16 shared papers)Manikkam Suthanthiran (17 shared papers)Vijay K. Sharma (15 shared papers)Ruchuang Ding (11 shared papers)Surya V. Seshan (12 shared papers)Thangamani Muthukumar (14 shared papers)Sandip Kapur (5 shared papers)Joseph E. Schwartz (3 shared papers)
- Journals
- Transplantation (6 papers)Journal of Immunological Methods (4 papers)Blood (2 papers)Clinical Transplantation (1 paper)Human Immunology (1 paper)
- Partner nations
- United StatesQatarFrance
In The Last Decade
Catherine Snopkowski
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 67
- Transplantation 449
- Cancer Research 186
- Immunology 179
- Nephrology 57
- Oncology 197
Countries citing papers authored by Catherine Snopkowski
This map shows the geographic impact of Catherine Snopkowski'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 Catherine Snopkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Snopkowski more than expected).
Fields of papers citing papers by Catherine Snopkowski
This network shows the impact of papers produced by Catherine Snopkowski. 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 Catherine Snopkowski. The network helps show where Catherine Snopkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Catherine Snopkowski, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 426 | |
| 2 | 2009 | 283 | |
| 3 | 2008 | 105 | |
| 4 | 2010 | 61 | |
| 5 | 2010 | 46 | |
| 6 | 2014 | 38 | |
| 7 | 2020 | 28 | |
| 8 | 2024 | 24 | |
| 9 | 2022 | 18 | |
| 10 | 2013 | 18 | |
| 11 | 2022 | 15 | |
| 12 | 2025 | 10 | |
| 13 | 2022 | 6 | |
| 14 | 2020 | 5 | |
| 15 | 2004 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2008 | 1 |
About Catherine Snopkowski
Catherine Snopkowski is a scholar working on Molecular Biology, Oncology, Transplantation, Surgery and Epidemiology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (7 papers), Polyomavirus and related diseases (7 papers), Single-cell and spatial transcriptomics (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), Extracellular vesicles in disease (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Organ Donation and Transplantation (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Transplantation (449 citations), Cancer Research (186 citations), Immunology (179 citations), Nephrology (57 citations) and Oncology (197 citations). Catherine Snopkowski has collaborated with scholars based in United States, Qatar and France. Frequent co-authors include Darshana M. Dadhania, Manikkam Suthanthiran, Vijay K. Sharma, Ruchuang Ding, Surya V. Seshan, Thangamani Muthukumar, Sandip Kapur, Joseph E. Schwartz, Aurélie Hummel and Dany Anglicheau. Their work appears in journals such as Transplantation, Journal of Immunological Methods, Blood, Clinical Transplantation and Human Immunology.
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.