Jeri Kim

9.3k citations
101 papers · 3.3k · h-index 29

Impact in

Papers in

Jeri Kim

97 papers receiving 3.3k citations

Peers

Jeri Kim
Comparison fields: 5 of 118
  • Pulmonary and Respiratory Medicine 1.5k
  • Oncology 1.2k
  • Cancer Research 581
  • Radiology, Nuclear Medicine and Imaging 579
  • Hematology 251
Replace Tomomi Kamba with:
Tomomi Kamba Japan
Mark Garzotto United States
Tanya B. Dorff United States
Gregory M. Springett United States
Nithya Ramnath United States
Michael L. Cher United States
Lisa G. Horvath Australia
Anne Hansen Ree Norway
Takeshi Ueda Japan
Jeri Kim relative to Tomomi Kamba Japan Tomomi Kamba's profile →
Citations per field
00.5×1.5×2.2×
Tomomi Kamba · 1×
Citations per year

Countries citing papers authored by Jeri Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jeri Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004372
2 2013311
3 2001277
4 2002263
5 2013102
6 201697
7 201493
8 201885
9 201580
10 200473
11 200568
12 201763
13 200960
14 201156
15 200556
16 201254
17 202050
18 201947
19 201841
20 200540

About Jeri Kim

Jeri Kim is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 101 papers that have together received 3.3k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (64 papers), Prostate Cancer Diagnosis and Treatment (29 papers), Radiopharmaceutical Chemistry and Applications (16 papers), Cancer, Lipids, and Metabolism (15 papers), Cancer Immunotherapy and Biomarkers (12 papers), PARP inhibition in cancer therapy (9 papers), Hormonal and reproductive studies (8 papers) and Bladder and Urothelial Cancer Treatments (6 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.5k citations), Oncology (1.2k citations), Cancer Research (581 citations), Radiology, Nuclear Medicine and Imaging (579 citations) and Hematology (251 citations). Jeri Kim has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Christopher J. Logothetis, Patricia Troncoso, Lance C. Pagliaro, Randall E. Millikan, Shi‐Ming Tu, Ana M. Aparicio, John W. Davis, Christos N. Papandreou, Danai Daliani and Wadih Arap. Their work appears in journals such as Journal of Clinical Oncology, Clinical Genitourinary Cancer, Clinical Cancer Research, The Journal of Urology and British Journal of Urology.

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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