Rui‐Ru Ji

15.5k total citations · 1 hit paper
17 papers, 1.1k citations indexed

About

Rui‐Ru Ji is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Rui‐Ru Ji has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Oncology. Recurrent topics in Rui‐Ru Ji's work include Gene expression and cancer classification (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Bioinformatics and Genomic Networks (3 papers). Rui‐Ru Ji is often cited by papers focused on Gene expression and cancer classification (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Bioinformatics and Genomic Networks (3 papers). Rui‐Ru Ji collaborates with scholars based in United States, Germany and United Kingdom. Rui‐Ru Ji's co-authors include Scott D. Chasalow, David M. Berman, Vafa Shahabi, Lisu Wang, Maria Jure–Kunkel, Nathan O. Siemers, Omid Hamid, John Cogswell, Suresh Alaparthy and Jeffrey R. Jackson and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Bioinformatics.

In The Last Decade

Rui‐Ru Ji

17 papers receiving 1.1k citations

Hit Papers

An immune-active tumor microenvironment favors clinical r... 2011 2026 2016 2021 2011 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An immune-active tumor microenvironment favors clinical response to ipilimumab
    2011 593 citations Rui‐Ru Ji, Scott D. Chasalow et al. Cancer Immunology Immunotherapy profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rui‐Ru Ji United States 10 636 504 299 125 107 17 1.1k
David A. Leinster United Kingdom 6 486 0.8× 485 1.0× 383 1.3× 68 0.5× 246 2.3× 7 1.1k
Anne Krogsdam Austria 17 480 0.8× 394 0.8× 630 2.1× 138 1.1× 215 2.0× 31 1.2k
Jamie C. Stanford United States 8 533 0.8× 346 0.7× 509 1.7× 93 0.7× 181 1.7× 8 1.1k
Tsuyoshi Takahashi Japan 16 421 0.7× 340 0.7× 426 1.4× 142 1.1× 124 1.2× 34 1.1k
Shu-Heng Jiang China 14 345 0.5× 230 0.5× 325 1.1× 117 0.9× 131 1.2× 27 862
Jenean O’Brien United States 13 590 0.9× 241 0.5× 356 1.2× 87 0.7× 229 2.1× 15 1.1k
Frédérique Deshayes France 19 241 0.4× 329 0.7× 545 1.8× 108 0.9× 143 1.3× 31 1.2k
Claudia Tulotta Netherlands 16 393 0.6× 302 0.6× 413 1.4× 90 0.7× 188 1.8× 23 921
Rohit R. Jadhav United States 19 342 0.5× 544 1.1× 439 1.5× 138 1.1× 252 2.4× 30 1.2k
Ladina Di Rago Australia 19 304 0.5× 523 1.0× 601 2.0× 73 0.6× 143 1.3× 38 1.4k

Countries citing papers authored by Rui‐Ru Ji

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Rui‐Ru Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Rui‐Ru Ji. A scholar is included among the top collaborators of Rui‐Ru Ji 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 Rui‐Ru Ji. Rui‐Ru Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Arjona, Emilia, et al.. (2021). Functional characterization of 105 factor H variants associated with aHUS: lessons for variant classification. Blood. 138(22). 2185–2201. 40 indexed citations
2.
Ji, Rui‐Ru, et al.. (2019). Facile synthesis of novel dithioacetal–naphthalene derivatives as potential activators for plant resistance induction. RSC Advances. 9(56). 32375–32381. 8 indexed citations
3.
4.
Ji, Rui‐Ru, Chester B. Whitley, Maria L. Escolar, et al.. (2017). Novel NAGLU variants associated with MPS IIIB and in vitro analysis of residual enzymatic activities. Molecular Genetics and Metabolism. 120(1-2). S71–S71. 1 indexed citations
5.
Patakas, Agapitos, Rui‐Ru Ji, William Weir, et al.. (2015). Abatacept Inhibition of T Cell Priming in Mice by Induction of a Unique Transcriptional Profile That Reduces Their Ability to Activate Antigen‐Presenting Cells. Arthritis & Rheumatology. 68(3). 627–638. 27 indexed citations
6.
Kirov, Stefan, Rui‐Ru Ji, Jing Wang, & Bing Zhang. (2013). Functional Annotation of Differentially Regulated Gene Set Using WebGestalt: A Gene Set Predictive of Response to Ipilimumab in Tumor Biopsies. Methods in molecular biology. 1101. 31–42. 17 indexed citations
7.
Shahabi, Vafa, David M. Berman, Scott D. Chasalow, et al.. (2013). Gene expression profiling of whole blood in ipilimumab-treated patients for identification of potential biomarkers of immune-related gastrointestinal adverse events. Journal of Translational Medicine. 11(1). 75–75. 132 indexed citations
8.
Shahabi, Vafa, Scott D. Chasalow, Lisu Wang, et al.. (2012). Gene expression profiling of whole blood in ipilimumab-treated patients for identification of potential biomarkers of immune-mediate gastrointestinal adverse events.. Journal of Clinical Oncology. 30(15_suppl). 8593–8593. 4 indexed citations
9.
Ji, Rui‐Ru, Scott D. Chasalow, Lisu Wang, et al.. (2011). An immune-active tumor microenvironment favors clinical response to ipilimumab. Cancer Immunology Immunotherapy. 61(7). 1019–1031. 593 indexed citations breakdown →
10.
Ji, Rui‐Ru, et al.. (2011). FDR-FET: an optimizing gene set enrichment analysis method. PubMed. Volume 4. 37–42. 3 indexed citations
11.
Ji, Rui‐Ru, Nathan O. Siemers, Ming Lei, Liang Schweizer, & Robert E. Bruccoleri. (2011). SDRS—an algorithm for analyzing large-scale dose–response data. Bioinformatics. 27(20). 2921–2923. 5 indexed citations
12.
Ji, Rui‐Ru, Omid Hamid, Scott D. Chasalow, et al.. (2011). Abstract 5513: An immune-active tumor microenvironment favors clinical response to ipilimumab. Cancer Research. 71(8_Supplement). 5513–5513. 5 indexed citations
13.
Ji, Rui‐Ru, Heshani de Silva, Robert E. Bruccoleri, et al.. (2009). Transcriptional Profiling of the Dose Response: A More Powerful Approach for Characterizing Drug Activities. PLoS Computational Biology. 5(9). e1000512–e1000512. 22 indexed citations
14.
Friedrichs, Frauke, Christian Zugck, Gerd-Jörg Rauch, et al.. (2008). HBEGF, SRA1, and IK: Three cosegregating genes as determinants of cardiomyopathy. Genome Research. 19(3). 395–403. 74 indexed citations
15.
Levin, Margaret, Jason Jin, Rui‐Ru Ji, et al.. (2007). Complement activation in the peripheral nervous system following the spinal nerve ligation model of neuropathic pain ☆. Pain. 137(1). 182–201. 74 indexed citations
16.
Ucar, Duygu, Isaac Neuhaus, Petra Ross‐Macdonald, et al.. (2007). Construction of a reference gene association network from multiple profiling data: application to data analysis. Bioinformatics. 23(20). 2716–2724. 19 indexed citations
17.
Kao, Ling-Rong, Julie Peterson, Rui‐Ru Ji, Laurel B. Bender, & Alan Bender. (1996). Interactions between the Ankyrin Repeat-Containing Protein Akr1p and the Pheromone Response Pathway in Saccharomyces cerevisiae. Molecular and Cellular Biology. 16(1). 168–178. 47 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by David A. Leinster Breakdown of academic impact, for papers by Anne Krogsdam Breakdown of academic impact, for papers by Jamie C. Stanford Breakdown of academic impact, for papers by Tsuyoshi Takahashi Breakdown of academic impact, for papers by Shu-Heng Jiang Breakdown of academic impact, for papers by Jenean O’Brien Breakdown of academic impact, for papers by Frédérique Deshayes Breakdown of academic impact, for papers by Claudia Tulotta Breakdown of academic impact, for papers by Rohit R. Jadhav Breakdown of academic impact, for papers by Ladina Di Rago
Rankless by CCL
2026