Janet Kim

23 papers receiving 622 citations

Peers

Janet Kim
Comparison fields: 5 of 98
  • Pharmacology 322
  • Endocrine and Autonomic Systems 71
  • Cellular and Molecular Neuroscience 155
  • Endocrinology, Diabetes and Metabolism 121
  • Geology 39
Replace Magali Perier with:
Magali Perier France
Seung Ho Jung United States
Jing Mu China
Obin Kwon South Korea
Susan M. Bond United Kingdom
Fuhai Bai China
Xiao-Fang Mao China
Yunlu Jiang China
André F. Batista Brazil
Janet Kim relative to Magali Perier France Magali Perier's profile →
Citations per field
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Magali Perier · 1×
Citations per year

Countries citing papers authored by Janet Kim

Since Specialization
Citations

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

Fields of papers citing papers by Janet Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006209
2 2005148
3 200892
4 200855
5 200824
6 202022
7 201311
8 202410
9 20228
10 20138
11 20228
12 20207
13 20217
14 20175
15 20245
16 20205
17 20214
18 20194
19 20241
20 20251

About Janet Kim

Janet Kim is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Pharmacology, Oncology and Molecular Biology, having authored 30 papers that have together received 637 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (8 papers), Cannabis and Cannabinoid Research (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Cancer, Lipids, and Metabolism (3 papers), Hearing Loss and Rehabilitation (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Human auditory perception and evaluation (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Pharmacology (322 citations), Endocrine and Autonomic Systems (71 citations), Cellular and Molecular Neuroscience (155 citations), Endocrinology, Diabetes and Metabolism (121 citations) and Geology (39 citations). Janet Kim has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Daniele Piomelli, Ken Mackie, Jin Fu, Giuseppe Astarita, Benjamin F. Cravatt, Silvana Gaetani, Christopher J. Stapleton, Darren Fegley, Matthew M. Wallace and Regina A. Mangieri. Their work appears in journals such as Journal of Clinical Oncology, Menopause The Journal of The North American Menopause Society, Cancer Research, Frontiers in Pediatrics and Prostate Cancer and Prostatic Diseases.

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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