Ryungsa Kim

5.8k total citations · 1 hit paper
90 papers, 4.5k citations indexed

About

Ryungsa Kim is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Ryungsa Kim has authored 90 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Oncology, 29 papers in Molecular Biology and 13 papers in Immunology. Recurrent topics in Ryungsa Kim's work include Cell death mechanisms and regulation (16 papers), Breast Cancer Treatment Studies (11 papers) and Drug Transport and Resistance Mechanisms (10 papers). Ryungsa Kim is often cited by papers focused on Cell death mechanisms and regulation (16 papers), Breast Cancer Treatment Studies (11 papers) and Drug Transport and Resistance Mechanisms (10 papers). Ryungsa Kim collaborates with scholars based in Japan, United States and Canada. Ryungsa Kim's co-authors include Kazuaki Tanabe, Manabu Emi, Tetsuya Toge, Richard Ho, Koji Arihiro, Yoko Uchida, Hideki Inoue, William T. Beck, Akihiko Osaki and Naoki Hirabayashi and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Cancer Research.

In The Last Decade

Ryungsa Kim

89 papers receiving 4.4k citations

Hit Papers

Cancer immunoediting from immune surveillance to immune e... 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryungsa Kim Japan 28 1.9k 1.8k 1.1k 479 341 90 4.5k
Toshiaki Hayashi Japan 40 3.3k 1.8× 1.2k 0.7× 712 0.6× 481 1.0× 246 0.7× 194 5.9k
Roman A. Blaheta Germany 39 2.5k 1.3× 1.0k 0.6× 723 0.6× 581 1.2× 663 1.9× 208 5.1k
M. Micksche Austria 47 2.7k 1.4× 1.9k 1.0× 1.2k 1.1× 619 1.3× 693 2.0× 187 6.0k
Ji‐Ye Yin China 41 2.7k 1.5× 1.1k 0.6× 523 0.5× 1.3k 2.6× 642 1.9× 197 5.1k
Dingzhi Wang United States 40 2.9k 1.5× 2.0k 1.1× 1.6k 1.4× 1.9k 3.9× 467 1.4× 64 7.2k
Guy Laurent France 49 3.9k 2.1× 1.8k 1.0× 1.5k 1.3× 453 0.9× 327 1.0× 197 7.3k
Gary Gordon United States 35 1.4k 0.8× 1.0k 0.6× 239 0.2× 484 1.0× 409 1.2× 105 4.4k
William N. Hait United States 38 2.8k 1.5× 2.0k 1.1× 365 0.3× 691 1.4× 343 1.0× 92 4.8k
Aree Moon South Korea 42 2.8k 1.5× 1.4k 0.7× 557 0.5× 1.1k 2.2× 394 1.2× 126 5.5k
Shoichi Hazama Japan 40 1.7k 0.9× 2.1k 1.2× 1.2k 1.0× 725 1.5× 579 1.7× 187 4.5k

Countries citing papers authored by Ryungsa Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ryungsa Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryungsa Kim

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

All Works

20 of 20 papers shown
2.
Kim, Ryungsa, et al.. (2024). Accumulation of CD56+ CD16- Natural Killer Cells in Response to Preoperative Chemotherapy for Breast Cancer. World Journal of Oncology. 15(4). 682–694. 1 indexed citations
3.
Hong, Jung Yong, et al.. (2024). Comprehensive molecular characterization to predict immunotherapy response in advanced biliary tract cancer: a phase II trial of pembrolizumab. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 33(1). 57–65. 1 indexed citations
4.
Kim, Ryungsa, et al.. (2021). Reconsidering the Meaning of Curing Primary Breast Cancer as a Systemic Disease. Frontiers in Oncology. 11. 639420–639420. 2 indexed citations
5.
Kim, Ryungsa. (2018). Effects of surgery and anesthetic choice on immunosuppression and cancer recurrence. Journal of Translational Medicine. 16(1). 8–8. 219 indexed citations
6.
Kim, Ryungsa, Koji Arihiro, Manabu Emi, Kazuaki Tanabe, & Akihiko Osaki. (2006). Potential role of HER-2; in primary breast tumor with bone metastasis. Oncology Reports. 15(6). 1477–84. 11 indexed citations
7.
Kim, Ryungsa, Manabu Emi, & Kazuaki Tanabe. (2006). The role of apoptosis in cancer cell survival and therapeutic outcome. Cancer Biology & Therapy. 5(11). 1429–1442. 50 indexed citations
8.
Kim, Ryungsa, Akihiko Osaki, & Tetsuya Toge. (2005). Current and Future Roles of Neoadjuvant Chemotherapy in Operable Breast Cancer. Clinical Breast Cancer. 6(3). 223–232. 34 indexed citations
9.
Kim, Ryungsa, Kazuaki Tanabe, Manabu Emi, Yoko Uchida, & Tetsuya Toge. (2005). Modulation of tamoxifen sensitivity by antisense Bcl‐2 and trastuzumab in breast carcinoma cells. Cancer. 103(10). 2199–2207. 23 indexed citations
10.
Kim, Ryungsa & Tetsuya Toge. (2004). Changes in Therapy for Solid Tumors: Potential for Overcoming Drug Resistance In Vivo with Molecular Targeting Agents. Surgery Today. 34(4). 293–303. 22 indexed citations
11.
Kim, Ryungsa, Manabu Emi, Kazuaki Tanabe, Yoko Uchida, & Tetsuya Toge. (2004). The role of Fas ligand and transforming growth factor β in tumor progression. Cancer. 100(11). 2281–2291. 103 indexed citations
12.
Kim, Ryungsa, Kazuaki Tanabe, Yoko Uchida, et al.. (2002). Current status of the molecular mechanisms of anticancer drug-induced apoptosis. Cancer Chemotherapy and Pharmacology. 50(5). 343–352. 221 indexed citations
13.
Kim, Ryungsa, Akihiko Osaki, & Tetsuya Toge. (2001). Pharmacokinetic and biochemical analysis in the treatment of weekly paclitaxel in relapsed breast cancer. Oncology Reports. 8(5). 1171–6. 6 indexed citations
14.
Morgan, Susan E., Ryungsa Kim, Uppoor G. Bhat, et al.. (2000). Differences in mutant p53 protein stability and functional activity in teniposide-sensitive and -resistant human leukemic CEM cells. Oncogene. 19(43). 5010–5019. 25 indexed citations
15.
Aogi, Kenjiro, Ryungsa Kim, Naoki Hirabayashi, et al.. (1997). Overcoming CPT-11 resistance by using a biscoclaurine alkaloid, cepharanthine, to modulate plasma trans-membrane potential. International Journal of Cancer. 72(2). 295–300. 13 indexed citations
16.
Corn, Benjamin W., et al.. (1995). The efficacy of cranial irradiation in ovarian cancer metastatic to the brain: Analysis of 32 cases. Obstetrics and Gynecology. 86(6). 955–959. 25 indexed citations
17.
Kim, Ryungsa, et al.. (1992). Experimental studies on biochemical modulation targeting topoisomerase I and II in human tumor xenografts in nude mice. International Journal of Cancer. 50(5). 760–766. 103 indexed citations
18.
Kim, Ryungsa, et al.. (1991). mRNA expression of topoisomerase II in human tumors and normal tissues. Surgery Today. 21(5). 587–589. 10 indexed citations
19.
Kim, Ryungsa, Naoki Hirabayashi, Masahiko Nishiyama, Kenjiro Aogi, & Tetsuya Toge. (1991). Clinical significance of P-glycoprotein expression analyzed by immunohistochemical staining in cancer tissues. Surgery Today. 21(5). 590–593. 1 indexed citations
20.
Nishiyama, Masahiko, Ryungsa Kim, Toshiaki Saeki, et al.. (1989). The histological assessment and evaluation of a 4 day subrenal capsule assay by the percentage inhibition of DNA/protein. Surgery Today. 19(4). 403–409. 1 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.

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