Naomy Kim
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Hepatocellular Carcinoma Treatment and Prognosis 4
- Liver Diseases and Immunity 1
- Liver physiology and pathology 1
-
- Telomeres, Telomerase, and Senescence 3
- Co-authors
- Calvin B. Harley (2 shared papers)Karen R. Prowse (2 shared papers)Woodring E. Wright (1 shared paper)Silvia Bacchetti (1 shared paper)Mieczyslaw A. Piatyszek (1 shared paper)Carol W. Greider (1 shared paper)Scott L. Weinrich (1 shared paper)Christopher M. Counter (1 shared paper)
- Journals
- Journal of Clinical Oncology (1 paper)The American Journal of Gastroenterology (1 paper)Frontiers in Oncology (1 paper)Aging Clinical and Experimental Research (1 paper)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)
- Partner nations
- United StatesIranCanada
In The Last Decade
Naomy Kim
9 papers receiving 492 citations
Naomy Kim's Hit Papers
Peers
Comparison fields: 5 of 56
- Aging 45
- Physiology 354
- Biotechnology 71
- Molecular Biology 217
- Oncology 52
Countries citing papers authored by Naomy Kim
This map shows the geographic impact of Naomy 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 Naomy Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naomy Kim more than expected).
Fields of papers citing papers by Naomy Kim
This network shows the impact of papers produced by Naomy 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 Naomy Kim. The network helps show where Naomy Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Naomy Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Telomerase, Cell Immortality, and Cancer Hit paper breakdown → | 1994 | 343 |
| 2 | 1997 | 126 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 5 | |
| 5 | 2025 | 4 | |
| 6 | 1995 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2025 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 0 |
About Naomy Kim
Naomy Kim is a scholar working on Hepatology, Physiology, Oncology, Pathology and Forensic Medicine and Pollution, having authored 10 papers that have together received 502 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Telomeres, Telomerase, and Senescence (3 papers), PARP inhibition in cancer therapy (1 paper), Liver Diseases and Immunity (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Microplastics and Plastic Pollution (1 paper), Alcohol Consumption and Health Effects (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Aging (45 citations), Physiology (354 citations), Biotechnology (71 citations), Molecular Biology (217 citations) and Oncology (52 citations). Naomy Kim has collaborated with scholars based in United States, Iran and Canada. Frequent co-authors include Calvin B. Harley, Karen R. Prowse, Woodring E. Wright, Silvia Bacchetti, Mieczyslaw A. Piatyszek, Carol W. Greider, Scott L. Weinrich, Christopher M. Counter, Jerry W. Shay and Hal W. Hirte. Their work appears in journals such as Journal of Clinical Oncology, The American Journal of Gastroenterology, Frontiers in Oncology, Aging Clinical and Experimental Research and Cold Spring Harbor Symposia on Quantitative Biology.
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.