Michael D. Kim
- Aging top 5%
-
- Neurobiology and Insect Physiology Research 14
- Hematology top 5%
- Immunology top 10%
- Developmental Neuroscience top 10%
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- Cell Image Analysis Techniques 11
- Advanced Fluorescence Microscopy Techniques 5
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- Cystic Fibrosis Research Advances 6
- Neonatal Respiratory Health Research 6
- Vascular Procedures and Complications 5
- Tracheal and airway disorders 4
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- Asthma and respiratory diseases 5
- Co-authors
- Yuh Nung JanJay Z. ParrishLily Yeh JanKazuo EmotoJohn W. SempleEdwin R. SpeckRukhsana AslamJohn Freedman
- Journals
- American Journal of Respiratory and Critical Care Medicine (4 papers)Blood (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Michael D. Kim
48 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 121
- Aging 44
- Cellular and Molecular Neuroscience 427
- Hematology 226
- Immunology 323
- Developmental Neuroscience 63
Countries citing papers authored by Michael D. Kim
This map shows the geographic impact of Michael D. 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 Michael D. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Kim more than expected).
Fields of papers citing papers by Michael D. Kim
This network shows the impact of papers produced by Michael D. 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 Michael D. Kim. The network helps show where Michael D. Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael D. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 18 | |
| 2 | 2022 | 26 | |
| 3 | 2021 | 7 | |
| 4 | 2020 | 13 | |
| 5 | 2020 | 12 | |
| 6 | 2019 | 45 | |
| 7 | 2019 | 32 | |
| 8 | 2019 | 90 | |
| 9 | 2019 | 10 | |
| 10 | 2017 | 24 | |
| 11 | 2015 | 36 | |
| 12 | 2013 | 2 | |
| 13 | 2012 | 17 | |
| 14 | 2011 | 16 | |
| 15 | 2011 | 40 | |
| 16 | 2011 | 2 | |
| 17 | 2010 | 29 | |
| 18 | 2009 | 38 | |
| 19 | 2006 | 98 | |
| 20 | 1996 | 12 |
About Michael D. Kim
Michael D. Kim is a scholar working on Biophysics, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Emergency Medical Services and Sensory Systems, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (14 papers), Cell Image Analysis Techniques (11 papers), Cystic Fibrosis Research Advances (6 papers), Neonatal Respiratory Health Research (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Vascular Procedures and Complications (5 papers), Asthma and respiratory diseases (5 papers) and Tracheal and airway disorders (4 papers). The work is most often cited by research in Aging (44 citations), Cellular and Molecular Neuroscience (427 citations), Hematology (226 citations), Immunology (323 citations) and Developmental Neuroscience (63 citations). Michael D. Kim has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Yuh Nung Jan, Jay Z. Parrish, Lily Yeh Jan, Kazuo Emoto, John W. Semple, Edwin R. Speck, Rukhsana Aslam, John Freedman, Andrew R. Crow and Frederick P. Nestel. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Blood, Scientific Reports, Molecular and Cellular Neuroscience and International Journal of Molecular Sciences.
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.