Jane Guo
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Immunology 16
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 4
- Immune Response and Inflammation 4
- Co-authors
- Giorgio Senaldi (11 shared papers)Pierre F. Piguet (4 shared papers)Thomas C. Boone (4 shared papers)Marina Stolina (4 shared papers)Christine L. Shaklee (4 shared papers)Xiangping Li (3 shared papers)Denise L. Faustman (2 shared papers)Sheila Scully (3 shared papers)
- Journals
- The Journal of Immunology (5 papers)Blood (3 papers)Proceedings of the National Academy of Sciences (2 papers)British Journal of Cancer (2 papers)Science (2 papers)
- Partner nations
- United StatesSwitzerlandSouth Korea
In The Last Decade
Jane Guo
32 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 108
- Immunology 763
- Cancer Research 343
- Hematology 140
- Oncology 308
- Molecular Biology 746
Countries citing papers authored by Jane Guo
This map shows the geographic impact of Jane Guo'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 Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Guo more than expected).
Fields of papers citing papers by Jane Guo
This network shows the impact of papers produced by Jane Guo. 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 Guo. The network helps show where Jane Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Guo, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 311 | |
| 2 | 2008 | 294 | |
| 3 | 1999 | 217 | |
| 4 | 1991 | 177 | |
| 5 | 2001 | 110 | |
| 6 | 1998 | 92 | |
| 7 | 2001 | 86 | |
| 8 | 1998 | 70 | |
| 9 | 2007 | 65 | |
| 10 | Protection against the mortality associated with disease models mediated by TNF and IFN-gamma in mice lacking IFN regulatory factor-1. | 1999 | 65 |
| 11 | 1999 | 63 | |
| 12 | 2018 | 55 | |
| 13 | 1997 | 53 | |
| 14 | 2000 | 52 | |
| 15 | 2006 | 52 | |
| 16 | 2002 | 43 | |
| 17 | 2001 | 41 | |
| 18 | 2003 | 36 | |
| 19 | 1994 | 26 | |
| 20 | 1996 | 25 |
About Jane Guo
Jane Guo is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Cancer Research, having authored 33 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers), Diabetes and associated disorders (4 papers), Platelet Disorders and Treatments (4 papers), Immunotherapy and Immune Responses (4 papers), Immune Response and Inflammation (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Immunology (763 citations), Cancer Research (343 citations), Hematology (140 citations), Oncology (308 citations) and Molecular Biology (746 citations). Jane Guo has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Giorgio Senaldi, Pierre F. Piguet, Thomas C. Boone, Marina Stolina, Christine L. Shaklee, Xiangping Li, Denise L. Faustman, Sheila Scully, Herbert Y. Lin and Aaron N. Chang. Their work appears in journals such as The Journal of Immunology, Blood, Proceedings of the National Academy of Sciences, British Journal of Cancer and 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.