Michael D. Pak
Impact in
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Aging top 10%
Papers in ⓘ
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- Neurobiology and Insect Physiology Research 6
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- Ion channel regulation and function 3
- Receptor Mechanisms and Signaling 2
- Co-authors
- Lawrence Salkoff (3 shared papers)Alice Butler (2 shared papers)Manuel Covarrubias (2 shared papers)Keith Baker (2 shared papers)Aguan Wei (2 shared papers)Peter H. Fishman (2 shared papers)Lawrence I. Gilbert (3 shared papers)James T. Warren (1 shared paper)
- Journals
- Science (1 paper)Journal of Comparative Physiology B (1 paper)Headache The Journal of Head and Face Pain (1 paper)Trends in Neurosciences (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesTürkiye
In The Last Decade
Michael D. Pak
10 papers receiving 789 citations
Peers
Comparison fields: 5 of 68
- Cellular and Molecular Neuroscience 563
- Aging 20
- Insect Science 116
- Cardiology and Cardiovascular Medicine 206
- Molecular Biology 594
Countries citing papers authored by Michael D. Pak
This map shows the geographic impact of Michael D. Pak'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. Pak 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. Pak more than expected).
Fields of papers citing papers by Michael D. Pak
This network shows the impact of papers produced by Michael D. Pak. 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. Pak. The network helps show where Michael D. Pak may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael D. Pak, 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 | 1990 | 272 | |
| 2 | 1992 | 262 | |
| 3 | 1996 | 69 | |
| 4 | 1986 | 53 | |
| 5 | 1987 | 43 | |
| 6 | 1992 | 35 | |
| 7 | 1987 | 30 | |
| 8 | 1984 | 27 | |
| 9 | 1995 | 20 | |
| 10 | 2025 | 1 |
About Michael D. Pak
Michael D. Pak is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Insect Science, Biochemistry and Surgery, having authored 10 papers that have together received 812 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (6 papers), Ion channel regulation and function (3 papers), Insect Utilization and Effects (3 papers), Antioxidant Activity and Oxidative Stress (2 papers), Receptor Mechanisms and Signaling (2 papers), Cardiovascular Syncope and Autonomic Disorders (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (563 citations), Aging (20 citations), Insect Science (116 citations), Cardiology and Cardiovascular Medicine (206 citations) and Molecular Biology (594 citations). Michael D. Pak has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Lawrence Salkoff, Alice Butler, Manuel Covarrubias, Keith Baker, Aguan Wei, Peter H. Fishman, Lawrence I. Gilbert, James T. Warren, L Gilbert and A. Dorn. Their work appears in journals such as Science, Journal of Comparative Physiology B, Headache The Journal of Head and Face Pain, Trends in Neurosciences and Biochemistry.
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.