Chris Kim
Impact in
-
- Heart Failure Treatment and Management
- Geriatrics and Gerontology top 10%
Papers in
- Health 5
- Social Media in Health Education 5
-
- Lymphoma Diagnosis and Treatment 6
- Co-authors
- Sachin S. Sapatnekar (4 shared papers)Sanjay V. Kumar (1 shared paper)Nitin Singhal (1 shared paper)In Kyu Park (1 shared paper)Sungdae Cho (1 shared paper)Philip Coppens (3 shared papers)Jessi E. Johnson (2 shared papers)Scott A. Flanders (1 shared paper)
- Journals
- The Annals of Thoracic Surgery (3 papers)World Neurosurgery (2 papers)Applied Physics Letters (2 papers)Journal of neurosurgery (1 paper)IEEE Transactions on Biomedical Circuits and Systems (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Chris Kim
74 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 166
- Cardiology and Cardiovascular Medicine 164
- Geriatrics and Gerontology 24
- Health Informatics 10
- Developmental Neuroscience 26
- Genetics 66
Countries citing papers authored by Chris Kim
This map shows the geographic impact of Chris 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 Chris Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Kim more than expected).
Fields of papers citing papers by Chris Kim
This network shows the impact of papers produced by Chris 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 Chris Kim. The network helps show where Chris Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 301 | |
| 2 | 2018 | 122 | |
| 3 | 2010 | 108 | |
| 4 | 2006 | 92 | |
| 5 | 2017 | 69 | |
| 6 | 2019 | 64 | |
| 7 | 2000 | 59 | |
| 8 | 2005 | 58 | |
| 9 | 2001 | 36 | |
| 10 | 2010 | 35 | |
| 11 | 2007 | 34 | |
| 12 | 2000 | 33 | |
| 13 | 2012 | 33 | |
| 14 | 2006 | 32 | |
| 15 | 2017 | 31 | |
| 16 | 2020 | 31 | |
| 17 | 1977 | 31 | |
| 18 | 2017 | 30 | |
| 19 | 2010 | 29 | |
| 20 | 2016 | 28 |
About Chris Kim
Chris Kim is a scholar working on Health, Pathology and Forensic Medicine, Emergency Medical Services, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (6 papers), Semiconductor materials and devices (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Social Media in Health Education (5 papers), Health Literacy and Information Accessibility (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Disaster Management and Resilience (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (164 citations), Geriatrics and Gerontology (24 citations), Health Informatics (10 citations), Developmental Neuroscience (26 citations) and Genetics (66 citations). Chris Kim has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Sachin S. Sapatnekar, Sanjay V. Kumar, Nitin Singhal, In Kyu Park, Sungdae Cho, Philip Coppens, Jessi E. Johnson, Scott A. Flanders, Shoshana J. Herzig and Sunil B. Kripalani. Their work appears in journals such as The Annals of Thoracic Surgery, World Neurosurgery, Applied Physics Letters, Journal of neurosurgery and IEEE Transactions on Biomedical Circuits and Systems.
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.