Kim Chi

3.5k citations
51 papers · 2.0k · h-index 20

Impact in

Papers in

Kim Chi

48 papers receiving 2.0k citations

Peers

Kim Chi
Comparison fields: 5 of 92
  • Cancer Research 428
  • Pulmonary and Respiratory Medicine 700
  • Oncology 564
  • Molecular Biology 756
  • Surgery 360
Replace Shi‐Ming Tu with:
Shi‐Ming Tu United States
Takashi Karashima Japan
Christian Wülfing Germany
G. R. Hudes United States
Shuanzeng Wei United States
Blair Marshall United States
Akihiko Shimomura Japan
Denis L. Jardim Brazil
Isabel Heidegger Austria
Harold Keer United States
Kim Chi relative to Shi‐Ming Tu United States Shi‐Ming Tu's profile →
Citations per field
00.5×1.6×
Shi‐Ming Tu · 1×
Citations per year

Countries citing papers authored by Kim Chi

Since Specialization
Citations

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

Fields of papers citing papers by Kim Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kim Chi, 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 Kim Chi Line = papers co-authored together Kim Chi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014212
2 2011187
3 2013161
4 2005123
5
Enhanced radiation sensitivity in prostate cancer by inhibition of the cell survival protein clusterin.
2002122
6 2010109
7 2001104
8 2013102
9
A randomized phase II and pharmacokinetic study of the antisense oligonucleotides ISIS 3521 and ISIS 5132 in patients with hormone-refractory prostate cancer.
200299
10 201196
11 200593
12 201987
13 201981
14 201580
15 200166
16 202047
17 200534
18 201827
19 200626
20 200226

About Kim Chi

Kim Chi is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Cancer Research and Surgery, having authored 51 papers that have together received 2.0k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (26 papers), Clusterin in disease pathology (7 papers), Cancer, Lipids, and Metabolism (6 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Hormonal and reproductive studies (5 papers), Testicular diseases and treatments (5 papers) and Nuclear Structure and Function (4 papers). The work is most often cited by research in Cancer Research (428 citations), Pulmonary and Respiratory Medicine (700 citations), Oncology (564 citations), Molecular Biology (756 citations) and Surgery (360 citations). Kim Chi has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Martin Gleave, Amina Zoubeidi, Scott Tyldesley, Tobias Zellweger, Hideaki Miyake, Alan So, Satoshi Kiyama, Peter Venner, Christian Kollmannsberger and Peter C. Black. Their work appears in journals such as The Journal of Urology, Clinical Cancer Research, Journal of Clinical Oncology, Cancer Chemotherapy and Pharmacology and Investigational New Drugs.

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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