Rui‐Ru Ji
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- Complement system in diseases
Papers in
-
- Gene expression and cancer classification 4
- Bioinformatics and Genomic Networks 2
- Congenital heart defects research 2
- Oncology 5
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Vafa Shahabi (4 shared papers)David M. Berman (3 shared papers)Scott D. Chasalow (4 shared papers)Lisu Wang (3 shared papers)Maria Jure–Kunkel (3 shared papers)Nathan O. Siemers (5 shared papers)Omid Hamid (2 shared papers)Suresh Alaparthy (2 shared papers)
- Journals
- Bioinformatics (2 papers)Journal of Clinical Oncology (1 paper)Pain (1 paper)RSC Advances (1 paper)Blood (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Rui‐Ru Ji
17 papers receiving 1.1k citations
Rui‐Ru Ji's Hit Papers
Peers
Comparison fields: 5 of 87
- Oncology 574
- Immunology 444
- Cancer Research 89
- Biological Psychiatry 12
- Molecular Biology 256
Countries citing papers authored by Rui‐Ru Ji
This map shows the geographic impact of Rui‐Ru Ji'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 Rui‐Ru Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui‐Ru Ji more than expected).
Fields of papers citing papers by Rui‐Ru Ji
This network shows the impact of papers produced by Rui‐Ru Ji. 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 Rui‐Ru Ji. The network helps show where Rui‐Ru Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Rui‐Ru Ji, 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 | An immune-active tumor microenvironment favors clinical response to ipilimumab Hit paper breakdown → | 2011 | 601 |
| 2 | 2013 | 133 | |
| 3 | 2008 | 74 | |
| 4 | 2007 | 74 | |
| 5 | 1996 | 47 | |
| 6 | 2021 | 42 | |
| 7 | 2015 | 27 | |
| 8 | 2009 | 22 | |
| 9 | 2007 | 19 | |
| 10 | 2013 | 17 | |
| 11 | 2019 | 8 | |
| 12 | 2011 | 5 | |
| 13 | 2011 | 5 | |
| 14 | 2012 | 4 | |
| 15 | 2011 | 4 | |
| 16 | 2018 | 1 | |
| 17 | 2017 | 1 |
About Rui‐Ru Ji
Rui‐Ru Ji is a scholar working on Molecular Biology, Oncology, Immunology, Physiology and Organic Chemistry, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Complement system in diseases (3 papers), Bioinformatics and Genomic Networks (2 papers), Lysosomal Storage Disorders Research (2 papers), Congenital heart defects research (2 papers), Neuropeptides and Animal Physiology (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Oncology (574 citations), Immunology (444 citations), Cancer Research (89 citations), Biological Psychiatry (12 citations) and Molecular Biology (256 citations). Rui‐Ru Ji has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Vafa Shahabi, David M. Berman, Scott D. Chasalow, Lisu Wang, Maria Jure–Kunkel, Nathan O. Siemers, Omid Hamid, Suresh Alaparthy, John Cogswell and Henrik Schmidt. Their work appears in journals such as Bioinformatics, Journal of Clinical Oncology, Pain, RSC Advances and Blood.
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.