Christopher Kim
Impact in
- Physiology top 10%
- Obstructive Sleep Apnea Research
- Telomeres, Telomerase, and Senescence
- Hematology top 10%
Papers in
-
- Obstructive Sleep Apnea Research 5
- Voice and Speech Disorders 2
-
- Multiple Myeloma Research and Treatments 4
- Co-authors
- Bryan A. Bassig (7 shared papers)Qing Lan (8 shared papers)Nathaniel Rothman (8 shared papers)H. Dean Hosgood (8 shared papers)Yawei Zhang (5 shared papers)Shuangge Ma (5 shared papers)Wei Hu (5 shared papers)Richard J. Schwab (8 shared papers)
- Journals
- Blood (3 papers)PLoS ONE (2 papers)Cancer Research (2 papers)Phytobiomes Journal (1 paper)Nuclear Medicine and Biology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Christopher Kim
33 papers receiving 806 citations
Peers
Comparison fields: 5 of 94
- Physiology 203
- Hematology 88
- Endocrine and Autonomic Systems 46
- Health, Toxicology and Mutagenesis 99
- Pollution 79
Countries citing papers authored by Christopher Kim
This map shows the geographic impact of Christopher 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 Christopher Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Kim more than expected).
Fields of papers citing papers by Christopher Kim
This network shows the impact of papers produced by Christopher 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 Christopher Kim. The network helps show where Christopher Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 100 | |
| 2 | 2015 | 76 | |
| 3 | 2012 | 76 | |
| 4 | 2014 | 72 | |
| 5 | 2019 | 54 | |
| 6 | 2014 | 50 | |
| 7 | 2014 | 50 | |
| 8 | 2019 | 43 | |
| 9 | 2007 | 40 | |
| 10 | 1998 | 40 | |
| 11 | 2012 | 38 | |
| 12 | 2016 | 34 | |
| 13 | 2016 | 27 | |
| 14 | 2014 | 26 | |
| 15 | 2019 | 16 | |
| 16 | 2011 | 16 | |
| 17 | 2011 | 12 | |
| 18 | 2023 | 10 | |
| 19 | 2016 | 7 | |
| 20 | 2009 | 7 |
About Christopher Kim
Christopher Kim is a scholar working on Physiology, Hematology, Molecular Biology, Pollution and Health, Toxicology and Mutagenesis, having authored 37 papers that have together received 818 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (5 papers), Air Quality and Health Impacts (4 papers), Multiple Myeloma Research and Treatments (4 papers), Energy and Environment Impacts (3 papers), Protein Degradation and Inhibitors (2 papers), Microbial Community Ecology and Physiology (2 papers), Voice and Speech Disorders (2 papers) and Organ Donation and Transplantation (2 papers). The work is most often cited by research in Physiology (203 citations), Hematology (88 citations), Endocrine and Autonomic Systems (46 citations), Health, Toxicology and Mutagenesis (99 citations) and Pollution (79 citations). Christopher Kim has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Bryan A. Bassig, Qing Lan, Nathaniel Rothman, H. Dean Hosgood, Yawei Zhang, Shuangge Ma, Wei Hu, Richard J. Schwab, Xiao‐Ou Shu and Wei Zheng. Their work appears in journals such as Blood, PLoS ONE, Cancer Research, Phytobiomes Journal and Nuclear Medicine and 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.