Matthew Kim
Impact in
- Physiology top 5%
- Obstructive Sleep Apnea Research
- Adipose Tissue and Metabolism
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Sleep and Wakefulness Research
Papers in
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- Biomedical Text Mining and Ontologies 3
- CRISPR and Genetic Engineering 3
- Gut microbiota and health 2
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- Autophagy in Disease and Therapy 4
- Co-authors
- Susan Redline (8 shared papers)Michael Rueschman (7 shared papers)Guo‐Qiang Zhang (4 shared papers)Remo Mueller (4 shared papers)Licong Cui (4 shared papers)Daniel Mobley (3 shared papers)Shiqiang Tao (2 shared papers)Sara Mariani (2 shared papers)
- Journals
- American Journal of Obstetrics and Gynecology (7 papers)The Journal of Maternal-Fetal & Neonatal Medicine (2 papers)Obstetrics and Gynecology (2 papers)Journal of Ultrasound in Medicine (2 papers)BMC Cardiovascular Disorders (1 paper)
- Partner nations
- United StatesUnited KingdomMalawi
In The Last Decade
Matthew Kim
44 papers receiving 1.4k citations
Matthew Kim's Hit Papers
Peers
Comparison fields: 5 of 122
- Physiology 471
- Cognitive Neuroscience 346
- Experimental and Cognitive Psychology 232
- Endocrine and Autonomic Systems 104
- Aging 27
Countries citing papers authored by Matthew Kim
This map shows the geographic impact of Matthew 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 Matthew Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Kim more than expected).
Fields of papers citing papers by Matthew Kim
This network shows the impact of papers produced by Matthew 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 Matthew Kim. The network helps show where Matthew Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The National Sleep Research Resource: towards a sleep data commons Hit paper breakdown → | 2018 | 560 |
| 2 | 2016 | 227 | |
| 3 | 2004 | 178 | |
| 4 | 2010 | 51 | |
| 5 | 2002 | 48 | |
| 6 | 2007 | 42 | |
| 7 | 2018 | 33 | |
| 8 | 2016 | 32 | |
| 9 | 2018 | 28 | |
| 10 | 2021 | 21 | |
| 11 | 2022 | 20 | |
| 12 | 2018 | 17 | |
| 13 | 2011 | 15 | |
| 14 | 2015 | 15 | |
| 15 | 2011 | 15 | |
| 16 | 2013 | 15 | |
| 17 | 2010 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2010 | 10 | |
| 20 | 2023 | 9 |
About Matthew Kim
Matthew Kim is a scholar working on Molecular Biology, Epidemiology, Pediatrics, Perinatology and Child Health, Physiology and Microbiology, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Scientific Computing and Data Management (3 papers), Obstructive Sleep Apnea Research (3 papers), Advanced Glycation End Products research (3 papers), Biomedical Text Mining and Ontologies (3 papers), Sleep and related disorders (3 papers), CRISPR and Genetic Engineering (3 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Physiology (471 citations), Cognitive Neuroscience (346 citations), Experimental and Cognitive Psychology (232 citations), Endocrine and Autonomic Systems (104 citations) and Aging (27 citations). Matthew Kim has collaborated with scholars based in United States, United Kingdom and Malawi. Frequent co-authors include Susan Redline, Michael Rueschman, Guo‐Qiang Zhang, Remo Mueller, Licong Cui, Daniel Mobley, Shiqiang Tao, Sara Mariani, Satya S. Sahoo and Ido Solt. Their work appears in journals such as American Journal of Obstetrics and Gynecology, The Journal of Maternal-Fetal & Neonatal Medicine, Obstetrics and Gynecology, Journal of Ultrasound in Medicine and BMC Cardiovascular Disorders.
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.