Rui‐Ru Ji
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 3
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- Complement system in diseases 3
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Maria Jure–Kunkel (3 shared papers)David M. Berman (3 shared papers)Lisu Wang (3 shared papers)Vafa Shahabi (4 shared papers)Scott D. Chasalow (4 shared papers)Nathan O. Siemers (5 shared papers)Suresh Alaparthy (2 shared papers)John Cogswell (2 shared papers)
- Journals
- Bioinformatics (2 papers)RSC Advances (1 paper)Molecular Genetics and Metabolism (1 paper)Cancer Immunology Immunotherapy (1 paper)Pain (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Rui‐Ru Ji
17 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Immunology 504
- Oncology 636
- Cancer Research 107
- Biological Psychiatry 12
- Molecular Biology 299
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 | 593 |
| 2 | 2013 | 132 | |
| 3 | 2007 | 74 | |
| 4 | 2008 | 74 | |
| 5 | 1996 | 47 | |
| 6 | 2021 | 40 | |
| 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 | 3 | |
| 16 | 2017 | 1 | |
| 17 | 2018 | 1 |
About Rui‐Ru Ji
Rui‐Ru Ji is a scholar working on Molecular Biology, Immunology, Oncology, 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 (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Complement system in diseases (3 papers), Immunotherapy and Immune Responses (3 papers), Bioinformatics and Genomic Networks (3 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Lysosomal Storage Disorders Research (2 papers). The work is most often cited by research in Immunology (504 citations), Oncology (636 citations), Cancer Research (107 citations), Biological Psychiatry (12 citations) and Molecular Biology (299 citations). Rui‐Ru Ji has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Maria Jure–Kunkel, David M. Berman, Lisu Wang, Vafa Shahabi, Scott D. Chasalow, Nathan O. Siemers, Suresh Alaparthy, John Cogswell, Omid Hamid and Henrik Schmidt. Their work appears in journals such as Bioinformatics, RSC Advances, Molecular Genetics and Metabolism, Cancer Immunology Immunotherapy and Pain.
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.