Jane Cheng
Impact in
Papers in ⓘ
- Co-authors
- Richard L. Maas (2 shared papers)Jonathan A. Epstein (2 shared papers)Patrick Y. S. Lam (1 shared paper)David N. Shapiro (1 shared paper)Henk‐Jan Schuurman (4 shared papers)Frank J. M. F. Dor (4 shared papers)Pin‐Xian Xu (1 shared paper)Henk‐Jan Schuurman (2 shared papers)
- Journals
- Xenotransplantation (3 papers)Cancer Research (3 papers)Transplantation (2 papers)Proceedings of the National Academy of Sciences (2 papers)Annals of Surgery (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Jane Cheng
25 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 83
- Surgery 948
- Genetics 579
- Transplantation 45
- Molecular Biology 610
- Developmental Biology 18
Countries citing papers authored by Jane Cheng
This map shows the geographic impact of Jane Cheng'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 Jane Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Cheng more than expected).
Fields of papers citing papers by Jane Cheng
This network shows the impact of papers produced by Jane Cheng. 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 Jane Cheng. The network helps show where Jane Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Cheng, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 427 | |
| 2 | 1996 | 300 | |
| 3 | 1997 | 141 | |
| 4 | 2004 | 115 | |
| 5 | 2004 | 109 | |
| 6 | 2003 | 77 | |
| 7 | 2004 | 68 | |
| 8 | 2002 | 54 | |
| 9 | 2003 | 52 | |
| 10 | 2020 | 52 | |
| 11 | 2022 | 15 | |
| 12 | 2008 | 15 | |
| 13 | 2020 | 10 | |
| 14 | 2015 | 10 | |
| 15 | 2015 | 7 | |
| 16 | 2020 | 6 | |
| 17 | 2025 | 5 | |
| 18 | 2013 | 5 | |
| 19 | 2004 | 4 | |
| 20 | 2000 | 4 |
About Jane Cheng
Jane Cheng is a scholar working on Developmental Biology, Transplantation, Genetics, Immunology and Surgery, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Xenotransplantation and immune response (10 papers), Animal Genetics and Reproduction (5 papers), Organ Transplantation Techniques and Outcomes (5 papers), Glycosylation and Glycoproteins Research (3 papers), Pancreatic function and diabetes (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Galectins and Cancer Biology (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Surgery (948 citations), Genetics (579 citations), Transplantation (45 citations), Molecular Biology (610 citations) and Developmental Biology (18 citations). Jane Cheng has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Richard L. Maas, Jonathan A. Epstein, Patrick Y. S. Lam, David N. Shapiro, Henk‐Jan Schuurman, Frank J. M. F. Dor, Pin‐Xian Xu, Henk‐Jan Schuurman, Kathleen Moran and Tuan T. Lam. Their work appears in journals such as Xenotransplantation, Cancer Research, Transplantation, Proceedings of the National Academy of Sciences and Annals of Surgery.
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.