Ha‐Neui Kim
Impact in
-
- Bone health and osteoporosis research
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Bone Metabolism and Diseases 30
- Mitochondrial Function and Pathology 5
- FOXO transcription factor regulation 4
- Oncology 19
- Bone health and treatments 17
- Co-authors
- Maria Almeida (27 shared papers)Zang Hee Lee (15 shared papers)Jong-Ho Lee (15 shared papers)Hyunil Ha (14 shared papers)Srividhya Iyer (13 shared papers)Charles A. O’Brien (12 shared papers)Stavros C. Manolagas (12 shared papers)Robert L. Jilka (10 shared papers)
- Journals
- Journal of Bone and Mineral Research (5 papers)Journal of Biological Chemistry (5 papers)Aging Cell (4 papers)JCI Insight (3 papers)European Journal of Pharmacology (3 papers)
- Partner nations
- United StatesSouth KoreaPortugal
In The Last Decade
Ha‐Neui Kim
47 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 103
- Orthopedics and Sports Medicine 357
- Geriatrics and Gerontology 143
- Aging 53
- Oncology 540
- Molecular Biology 1.4k
Countries citing papers authored by Ha‐Neui Kim
This map shows the geographic impact of Ha‐Neui 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 Ha‐Neui Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ha‐Neui Kim more than expected).
Fields of papers citing papers by Ha‐Neui Kim
This network shows the impact of papers produced by Ha‐Neui 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 Ha‐Neui Kim. The network helps show where Ha‐Neui Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Ha‐Neui 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
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 217 | |
| 2 | 2017 | 154 | |
| 3 | 2017 | 144 | |
| 4 | 2009 | 118 | |
| 5 | 2014 | 117 | |
| 6 | 2008 | 109 | |
| 7 | 2015 | 96 | |
| 8 | 2012 | 94 | |
| 9 | 2016 | 91 | |
| 10 | 2020 | 80 | |
| 11 | 2006 | 76 | |
| 12 | 2021 | 71 | |
| 13 | 2020 | 70 | |
| 14 | 2006 | 66 | |
| 15 | 2015 | 59 | |
| 16 | 2019 | 59 | |
| 17 | 2009 | 58 | |
| 18 | 2011 | 52 | |
| 19 | 2008 | 50 | |
| 20 | 2013 | 48 |
About Ha‐Neui Kim
Ha‐Neui Kim is a scholar working on Molecular Biology, Oncology, Cancer Research, Physiology and Geriatrics and Gerontology, having authored 48 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (30 papers), Bone health and treatments (17 papers), MicroRNA in disease regulation (6 papers), Estrogen and related hormone effects (5 papers), NF-κB Signaling Pathways (5 papers), Mitochondrial Function and Pathology (5 papers), Sirtuins and Resveratrol in Medicine (5 papers) and FOXO transcription factor regulation (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (357 citations), Geriatrics and Gerontology (143 citations), Aging (53 citations), Oncology (540 citations) and Molecular Biology (1.4k citations). Ha‐Neui Kim has collaborated with scholars based in United States, South Korea and Portugal. Frequent co-authors include Maria Almeida, Zang Hee Lee, Jong-Ho Lee, Hyunil Ha, Srividhya Iyer, Charles A. O’Brien, Stavros C. Manolagas, Robert L. Jilka, Li Han and Hong‐Hee Kim. Their work appears in journals such as Journal of Bone and Mineral Research, Journal of Biological Chemistry, Aging Cell, JCI Insight and European Journal of 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.