Rina Kashi

843 citations
19 papers · 597 · h-index 15

Impact in

Papers in

Rina Kashi

19 papers receiving 576 citations

Peers

Rina Kashi
Comparison fields: 5 of 78
  • Radiology, Nuclear Medicine and Imaging 277
  • Biological Psychiatry 30
  • Pathology and Forensic Medicine 86
  • Oncology 119
  • Immunology 92
Replace C. W. Song with:
C. W. Song United States
Jiang-Zhou Yu United States
Shinji Kariya Japan
Ji Youn Han South Korea
Feng Bi China
Rosemary Foley United Kingdom
Kejun Nan China
Gautam G. Rao United States
Marina Stolina United States
Rina Kashi relative to C. W. Song United States C. W. Song's profile →
Citations per field
00.5×2.7×
C. W. Song · 1×
Citations per year

Countries citing papers authored by Rina Kashi

Since Specialization
Citations

This map shows the geographic impact of Rina Kashi'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 Rina Kashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rina Kashi more than expected).

Fields of papers citing papers by Rina Kashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rina Kashi. 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 Rina Kashi. The network helps show where Rina Kashi may publish in the future.

Co-authors

The 25 scholars most cited alongside Rina Kashi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rina Kashi Line = papers co-authored together Rina Kashi links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2016118
2 197779
3 199149
4 198945
5
Comparison of equitoxic radioimmunotherapy and chemotherapy in the treatment of human colonic cancer xenografts.
199445
6 200841
7 199530
8 198927
9 198523
10 199120
11 199219
12 199719
13
A novel cytidine analog, RX-3117, shows potent efficacy in xenograft models, even in tumors that are resistant to gemcitabine.
201417
14 199114
15 198314
16 198314
17 198611
18 198211
19 20141

About Rina Kashi

Rina Kashi is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology, Oncology and Genetics, having authored 19 papers that have together received 597 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Radiopharmaceutical Chemistry and Applications (9 papers), Glycosylation and Glycoproteins Research (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Cancer-related Molecular Pathways (2 papers), Immunotherapy and Immune Responses (2 papers) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (277 citations), Biological Psychiatry (30 citations), Pathology and Forensic Medicine (86 citations), Oncology (119 citations) and Immunology (92 citations). Rina Kashi has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Rosalyn D. Blumenthal, David M. Goldenberg, Robert M. Sharkey, R M Sharkey, Esther Hurwitz, David M. Goldenberg, Rimona Margalit, Dan Peer, I. Nir and T. CORDOVA. Their work appears in journals such as International Journal of Cancer, Cancer Immunology Immunotherapy, JNCI Journal of the National Cancer Institute, Cancer Letters and Journal of Medicinal Chemistry.

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.

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