Jonathan P. Sleeman
Impact in
- Cell Biology top 0.2%
- Proteoglycans and glycosaminoglycans research
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research
Papers in
-
- Cell Adhesion Molecules Research 27
- Cell Biology 58
- Proteoglycans and glycosaminoglycans research 45
- Co-authors
- Jean Paul ThieryPeter HerrlichHelmut PontaWilko ThieleChristian TermeerVéronique Orian‐RousseauJan C. SimonChristina Fieber
- Journals
- Clinical & Experimental Metastasis (13 papers)Oncogene (10 papers)International Journal of Cancer (8 papers)PLoS ONE (6 papers)Journal of Cell Science (5 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Jonathan P. Sleeman
162 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Cell Biology 3.1k
- Immunology and Allergy 1.1k
- Oncology 4.7k
- Cancer Research 2.3k
- Molecular Biology 7.3k
Countries citing papers authored by Jonathan P. Sleeman
This map shows the geographic impact of Jonathan P. Sleeman'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 Jonathan P. Sleeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan P. Sleeman more than expected).
Fields of papers citing papers by Jonathan P. Sleeman
This network shows the impact of papers produced by Jonathan P. Sleeman. 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 Jonathan P. Sleeman. The network helps show where Jonathan P. Sleeman may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan P. Sleeman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 20 | |
| 5 | 2021 | 2 | |
| 6 | 2018 | 33 | |
| 7 | 2017 | 23 | |
| 8 | 2016 | 16 | |
| 9 | 2015 | 50 | |
| 10 | Flow cytometry-based isolation of dermal lymphatic endothelial cells from newborn rats. | 2014 | 4 |
| 11 | 2014 | 27 | |
| 12 | 2013 | 44 | |
| 13 | 2012 | 70 | |
| 14 | 2011 | 23 | |
| 15 | 2008 | 68 | |
| 16 | 2005 | 279 | |
| 17 | 2001 | 2 | |
| 18 | 2001 | 88 | |
| 19 | 1999 | 12 | |
| 20 | 1997 | 74 |
About Jonathan P. Sleeman
Jonathan P. Sleeman is a scholar working on Immunology and Allergy, Cell Biology, Oncology, Molecular Biology and Cancer Research, having authored 167 papers that have together received 13.1k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (45 papers), Glycosylation and Glycoproteins Research (38 papers), Lymphatic System and Diseases (28 papers), Cancer Cells and Metastasis (28 papers), Cell Adhesion Molecules Research (27 papers), Angiogenesis and VEGF in Cancer (24 papers), Immunotherapy and Immune Responses (15 papers) and Wnt/β-catenin signaling in development and cancer (9 papers). The work is most often cited by research in Cell Biology (3.1k citations), Immunology and Allergy (1.1k citations), Oncology (4.7k citations), Cancer Research (2.3k citations) and Molecular Biology (7.3k citations). Jonathan P. Sleeman has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Jean Paul Thiery, Peter Herrlich, Helmut Ponta, Wilko Thiele, Christian Termeer, Véronique Orian‐Rousseau, Jan C. Simon, Christina Fieber, Thomas Ahrens and Larry S. Sherman. Their work appears in journals such as Clinical & Experimental Metastasis, Oncogene, International Journal of Cancer, PLoS ONE 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.