Jong Kim
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Biophysics top 1%
Papers in
-
- Single-cell and spatial transcriptomics 14
- RNA Research and Splicing 5
- Gene expression and cancer classification 5
-
- Privacy-Preserving Technologies in Data 5
- Co-authors
- John C. Marioni (9 shared papers)Aleksandra A. Kolodziejczyk (6 shared papers)Sarah A. Teichmann (6 shared papers)Valentine Svensson (1 shared paper)Tomislav Ilicic (3 shared papers)Sangho Lee (4 shared papers)Yoon Ha Choi (17 shared papers)Bianka Baying (1 shared paper)
- Journals
- Nature Communications (11 papers)PLoS ONE (4 papers)Sensors (3 papers)The Journal of Immunology (2 papers)Genome biology (2 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Jong Kim
127 papers receiving 6.1k citations
Jong Kim's Hit Papers
Peers
Comparison fields: 5 of 179
- Cancer Research 901
- Biophysics 305
- Molecular Biology 3.5k
- Immunology 776
- Signal Processing 191
Countries citing papers authored by Jong Kim
This map shows the geographic impact of Jong 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 Jong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong Kim more than expected).
Fields of papers citing papers by Jong Kim
This network shows the impact of papers produced by Jong 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 Jong Kim. The network helps show where Jong Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jong 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Technology and Biology of Single-Cell RNA Sequencing Hit paper breakdown → | 2015 | 995 |
| 2 | Accounting for technical noise in single-cell RNA-seq experiments Hit paper breakdown → | 2013 | 684 |
| 3 | Classification of low quality cells from single-cell RNA-seq data Hit paper breakdown → | 2016 | 429 |
| 4 | 2015 | 372 | |
| 5 | 2013 | 294 | |
| 6 | 2010 | 202 | |
| 7 | 2015 | 164 | |
| 8 | 2013 | 137 | |
| 9 | 2013 | 133 | |
| 10 | 2008 | 112 | |
| 11 | 2014 | 96 | |
| 12 | 2017 | 94 | |
| 13 | 2011 | 90 | |
| 14 | 2011 | 88 | |
| 15 | 2017 | 85 | |
| 16 | 2022 | 85 | |
| 17 | 2010 | 83 | |
| 18 | 2010 | 77 | |
| 19 | 2014 | 77 | |
| 20 | 2019 | 77 |
About Jong Kim
Jong Kim is a scholar working on Molecular Biology, Artificial Intelligence, Immunology, Epidemiology and Computer Networks and Communications, having authored 132 papers that have together received 6.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (14 papers), Advanced Malware Detection Techniques (7 papers), Adipose Tissue and Metabolism (6 papers), Herpesvirus Infections and Treatments (5 papers), RNA Research and Splicing (5 papers), Immunotherapy and Immune Responses (5 papers), Privacy-Preserving Technologies in Data (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Cancer Research (901 citations), Biophysics (305 citations), Molecular Biology (3.5k citations), Immunology (776 citations) and Signal Processing (191 citations). Jong Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include John C. Marioni, Aleksandra A. Kolodziejczyk, Sarah A. Teichmann, Valentine Svensson, Tomislav Ilicic, Sangho Lee, Yoon Ha Choi, Bianka Baying, Vladimı́r Beneš and Xiuwei Zhang. Their work appears in journals such as Nature Communications, PLoS ONE, Sensors, The Journal of Immunology and Genome 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.