Janet Kim

26 papers receiving 636 citations

Peers

Janet Kim
Comparison fields: 5 of 95
  • Pharmacology 313
  • Endocrine and Autonomic Systems 62
  • Cellular and Molecular Neuroscience 150
  • Endocrinology, Diabetes and Metabolism 115
  • Geology 39
Replace Alessandro Príncipe with:
Alessandro Príncipe Spain
Magali Perier France
Yunlu Jiang China
Seung Ho Jung United States
Obin Kwon South Korea
Martina Senzacqua Italy
Qian Zhai China
Khalaf Al Moutaery Saudi Arabia
Janet Kim relative to Alessandro Príncipe Spain Alessandro Príncipe's profile →
Citations per field
00.5×4.4×
Alessandro Príncipe · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006209
2 2005149
3 200892
4 200855
5 200824
6 202023
7 202415
8 201311
9 20229
10 20228
11 20138
12 20218
13 20207
14 20245
15 20205
16 20175
17 20214
18 20194
19 20242
20 20251

About Janet Kim

Janet Kim is a scholar working on Pulmonary and Respiratory Medicine, Pharmacology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cognitive Neuroscience, having authored 31 papers that have together received 650 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (6 papers), Cannabis and Cannabinoid Research (4 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Hearing Loss and Rehabilitation (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), Menopause: Health Impacts and Treatments (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Pharmacology (313 citations), Endocrine and Autonomic Systems (62 citations), Cellular and Molecular Neuroscience (150 citations), Endocrinology, Diabetes and Metabolism (115 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, Regina A. Mangieri, Matthew M. Wallace and Kwang‐Mook Jung. Their work appears in journals such as Journal of Clinical Oncology, Menopause The Journal of The North American Menopause Society, JAMA Network Open, Emerging Microbes & Infections and Molecular Pharmacology.

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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