Michael D. Pak

972 total citations
10 papers, 812 citations indexed

About

Michael D. Pak is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Insect Science. According to data from OpenAlex, Michael D. Pak has authored 10 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 3 papers in Insect Science. Recurrent topics in Michael D. Pak's work include Neurobiology and Insect Physiology Research (6 papers), Ion channel regulation and function (3 papers) and Insect Utilization and Effects (3 papers). Michael D. Pak is often cited by papers focused on Neurobiology and Insect Physiology Research (6 papers), Ion channel regulation and function (3 papers) and Insect Utilization and Effects (3 papers). Michael D. Pak collaborates with scholars based in United States and Türkiye. Michael D. Pak's co-authors include Lawrence Salkoff, Aguan Wei, Manuel Covarrubias, Keith Baker, Alice Butler, Peter H. Fishman, Lawrence I. Gilbert, A. Dorn, L Gilbert and James T. Warren and has published in prestigious journals such as Science, Biochemistry and Trends in Neurosciences.

In The Last Decade

Michael D. Pak

10 papers receiving 789 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael D. Pak United States 9 594 563 206 116 80 10 812
James R. Groome United States 16 513 0.9× 539 1.0× 261 1.3× 46 0.4× 68 0.8× 47 792
Thierry Cens France 20 767 1.3× 517 0.9× 302 1.5× 154 1.3× 96 1.2× 56 1.1k
M. V. Thomas United Kingdom 14 556 0.9× 771 1.4× 62 0.3× 43 0.4× 47 0.6× 19 976
Maria L. Spletter Germany 13 386 0.6× 419 0.7× 96 0.5× 81 0.7× 179 2.2× 20 790
LK Kaczmarek United States 19 660 1.1× 766 1.4× 124 0.6× 22 0.2× 21 0.3× 22 997
J. David Spafford Canada 20 795 1.3× 544 1.0× 126 0.6× 22 0.2× 38 0.5× 40 972
CF Wu United States 11 685 1.2× 1.1k 2.0× 56 0.3× 137 1.2× 188 2.4× 12 1.3k
Hiroshi Washio Japan 15 252 0.4× 393 0.7× 30 0.1× 117 1.0× 146 1.8× 58 593
H. Hatt Germany 12 299 0.5× 410 0.7× 97 0.5× 124 1.1× 36 0.5× 17 505
Wolfgang Zeiske Germany 16 499 0.8× 285 0.5× 23 0.1× 89 0.8× 44 0.6× 25 723

Countries citing papers authored by Michael D. Pak

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael D. Pak

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Pak. A scholar is included among the top collaborators of Michael D. Pak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael D. Pak. Michael D. Pak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Polat, Muzaffer, et al.. (2025). Can serum neuropeptide levels help diagnose pediatric migraine? A prospective case–control study. Headache The Journal of Head and Face Pain. 65(10). 1821–1830. 1 indexed citations
2.
Pak, Michael D. & Peter H. Fishman. (1996). Anomalous Behavior of CGP 12177A ON β2-Adrenergic Receptors. Journal of Receptors and Signal Transduction. 16(1-2). 1–23. 69 indexed citations
3.
Zhou, Xiaoming, et al.. (1995). Differences in desensitization between human β1- and β2-adrenergic receptors stably expressed in transfected hamster cells. Cellular Signalling. 7(3). 207–217. 20 indexed citations
4.
Salkoff, Lawrence, Keith Baker, Alice Butler, et al.. (1992). An essential ‘set’ of K+ channels conserved in flies, mice and humans. Trends in Neurosciences. 15(5). 161–166. 262 indexed citations
5.
Ghanshani, Sanjiv, Michael D. Pak, John D. McPherson, et al.. (1992). Genomic organization, nucleotide sequence, and cellular distribution of a Shaw-related potassium channel gene, Kv3.3, and mapping of Kv3.3 and Kv3.4 to human chromosomes 19 and 1. Genomics. 12(2). 190–196. 35 indexed citations
6.
Wei, Aguan, Manuel Covarrubias, Alice Butler, et al.. (1990). K + Current Diversity Is Produced by an Extended Gene Family Conserved in Drosophila and Mouse. Science. 248(4955). 599–603. 272 indexed citations
7.
Henrich, Vincent C., Michael D. Pak, & Lawrence I. Gilbert. (1987). Neural factors that stimulate ecdysteroid synthesis by the larval ring gland ofDrosophila melanogaster. Journal of Comparative Physiology B. 157(5). 543–549. 30 indexed citations
8.
Pak, Michael D. & Lawrence I. Gilbert. (1987). A Developmental Analysis of Ecdysteroids During the Metamorphosis ofDrosophila Melanogaster. Journal of Liquid Chromatography. 10(12). 2591–2611. 43 indexed citations
9.
Warren, James T., et al.. (1986). Metabolism of Ecdysteroids During the Embryogenesis ofManduca Sexta. Journal of Liquid Chromatography. 9(8). 1759–1782. 53 indexed citations
10.
Koeppe, John K., Glenn D. Prestwich, John J. Brown, et al.. (1984). Photoaffinity labeling of the hemolymph juvenile hormone binding protein of Manduca sexta. Biochemistry. 23(26). 6674–6679. 27 indexed citations

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.

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