Wenruo Han
- Surgery top 10%
- Immunology top 10%
- Genetics top 10%
- Molecular Biology
- Transplantation top 5%
- Co-authors
- Patricia L. MottramW W HancockIan F. C. McKenzieLisa J. Murray-SegalWayne W. HancockMartin J. PearseEvelyn SalvarisD.J. Goodman
- Topics
- Xenotransplantation and immune response (7 papers)Organ Transplantation Techniques and Outcomes (6 papers)Transplantation: Methods and Outcomes (5 papers)
- Cited by
- TransplantationImmunologySurgery
- Partner nations
- AustraliaUnited States
In The Last Decade
Wenruo Han
18 papers receiving 681 citations
Peers
Comparison fields: 5 of 58
- Surgery 395
- Immunology 287
- Genetics 194
- Molecular Biology 110
- Transplantation 104
Countries citing papers authored by Wenruo Han
This map shows the geographic impact of Wenruo Han'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 Wenruo Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenruo Han more than expected).
Fields of papers citing papers by Wenruo Han
This network shows the impact of papers produced by Wenruo Han. 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 Wenruo Han. The network helps show where Wenruo Han may publish in the future.
Co-authorship network of co-authors of Wenruo Han
This figure shows the co-authorship network connecting the top 25 collaborators of Wenruo Han. A scholar is included among the top collaborators of Wenruo Han 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 Wenruo Han. Wenruo Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 31 | |
| 3 | 11 | |
| 4 | 15 | |
| 5 | 4 | |
| 6 | 173 | |
| 7 | Prolonged allograft survival in anti-CD4 antibody transgenic mice: lack of residual helper T cells compared with other CD4-deficient mice. | 25 |
| 8 | 51 | |
| 9 | 2 | |
| 10 | 48 | |
| 11 | 9 | |
| 12 | 3 | |
| 13 | Infiltrating cells in mouse cardiac allografts after anti-CD4 monoclonal antibody treatment. | 1 |
| 14 | Effect of anti-CD4, anti-NC, and anti-NK monoclonal antibody on the survival of cardiac xenografts and allografts in mice. | 1 |
| 15 | Increased expression of IL-4 and IL-10 and decreased expression of IL-2 and interferon-gamma in long-surviving mouse heart allografts after brief CD4-monoclonal antibody therapy. | 155 |
| 16 | 134 | |
| 17 | Comparison of CD4 depleting and nondepleting monoclonal antibodies in the mouse heart allograft model. | 4 |
| 18 | 3 |
About Wenruo Han
Wenruo Han is a scholar working on Transplantation, Immunology and Surgery, having authored 18 papers that have together received 694 indexed citations. Recurring topics across this work include Xenotransplantation and immune response (7 papers), Organ Transplantation Techniques and Outcomes (6 papers) and Transplantation: Methods and Outcomes (5 papers). The work is most often cited by research in Transplantation (104 citations), Immunology (287 citations) and Surgery (395 citations). Wenruo Han has collaborated with scholars based in Australia and United States. Frequent co-authors include Patricia L. Mottram, W W Hancock, Ian F. C. McKenzie, Lisa J. Murray-Segal, Wayne W. Hancock, Martin J. Pearse, Evelyn Salvaris, D.J. Goodman, Peter J. Cowan and Trixie A. Shinkel. Their work appears in journals such as Transplantation, Microsurgery and Xenotransplantation.
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.