Michael S. Parker

1.9k total citations
67 papers, 1.4k citations indexed

About

Michael S. Parker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Nature and Landscape Conservation. According to data from OpenAlex, Michael S. Parker has authored 67 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 37 papers in Cellular and Molecular Neuroscience and 11 papers in Nature and Landscape Conservation. Recurrent topics in Michael S. Parker's work include Neuropeptides and Animal Physiology (33 papers), Receptor Mechanisms and Signaling (33 papers) and Fish Ecology and Management Studies (11 papers). Michael S. Parker is often cited by papers focused on Neuropeptides and Animal Physiology (33 papers), Receptor Mechanisms and Signaling (33 papers) and Fish Ecology and Management Studies (11 papers). Michael S. Parker collaborates with scholars based in United States, Sweden and Germany. Michael S. Parker's co-authors include Mary E. Power, Steven L. Parker, J. Timothy Wootton, W. E. Dietrich, Jane C. Marks, Ingrid Lundell, Renu Sah, William R. Crowley, Floyd R. Sallee and Ambikaipakan Balasubramaniam and has published in prestigious journals such as Science, Ecology and Biochemical and Biophysical Research Communications.

In The Last Decade

Michael S. Parker

63 papers receiving 1.3k citations

Peers

Michael S. Parker
Hiroshi Ueda Japan
Sean C. Lema United States
Jason E. Podrabsky United States
Scott D. Reid Canada
Kimberly A. Miller United States
Thomas L. Beitinger United States
Vera Maria Fonseca de Almeida‐Val Brazil
Ole Brix Norway
R. Morris United Kingdom
J. Ringelberg Netherlands
Hiroshi Ueda Japan
Michael S. Parker
Citations per year, relative to Michael S. Parker Michael S. Parker (= 1×) peers Hiroshi Ueda

Countries citing papers authored by Michael S. Parker

Since Specialization
Citations

This map shows the geographic impact of Michael S. Parker'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 S. Parker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Parker more than expected).

Fields of papers citing papers by Michael S. Parker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Parker. 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 S. Parker. The network helps show where Michael S. Parker may publish in the future.

Co-authorship network of co-authors of Michael S. Parker

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Parker. A scholar is included among the top collaborators of Michael S. Parker 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 S. Parker. Michael S. Parker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Parker, Michael S., Ambikaipakan Balasubramaniam, Floyd R. Sallee, & Steven L. Parker. (2018). The Expansion Segments of 28S Ribosomal RNA Extensively Match Human Messenger RNAs. Frontiers in Genetics. 9. 66–66. 13 indexed citations
2.
Parker, Michael S., Edwards A. Park, Floyd R. Sallee, & Steven L. Parker. (2016). Canonical Matches of Human MicroRNAs with mRNAs: A Broad Matrix of Position and Size. MicroRNA. 5(3). 211–221. 2 indexed citations
3.
Parker, Michael S., Ambikaipakan Balasubramaniam, & Steven L. Parker. (2012). On the segregation of protein ionic residues by charge type. Amino Acids. 43(6). 2231–2247. 5 indexed citations
4.
Parker, Michael S., Renu Sah, A. Balasubramaniam, et al.. (2010). Non-specific binding and general cross-reactivity of Y receptor agonists are correlated and should importantly depend on their acidic sectors. Peptides. 32(2). 258–265. 5 indexed citations
5.
Parker, Michael S. & Steven L. Parker. (2009). The fourth intracellular domain of G-protein coupling receptors: helicity, basicity and similarity to opsins. Amino Acids. 38(1). 1–13. 5 indexed citations
6.
Parker, Steven L., et al.. (2008). Importance of a N-terminal aspartate in the internalization of the neuropeptide Y Y2 receptor. European Journal of Pharmacology. 594(1-3). 26–31. 8 indexed citations
7.
Parker, Steven L., Michael S. Parker, Renu Sah, et al.. (2008). The Neuropeptide Y (NPY) Y2 Receptors Are Largely Dimeric in the Kidney, but Monomeric in the Forebrain. Journal of Receptors and Signal Transduction. 28(3). 245–263. 8 indexed citations
8.
Parker, Michael S., et al.. (2008). Neuropeptide Y (NPY) Y2 receptors of rabbit kidney cortex are largely dimeric. Regulatory Peptides. 150(1-3). 88–94. 10 indexed citations
9.
Parker, Michael S., Renu Sah, A. Balasubramaniam, et al.. (2008). Dimers of the Neuropeptide Y (NPY) Y2 Receptor Show Asymmetry in Agonist Affinity and Association with G Proteins. Journal of Receptors and Signal Transduction. 28(5). 437–451. 8 indexed citations
10.
Parker, Steven L., Michael S. Parker, Renu Sah, A. Balasubramaniam, & F.R. Sallee. (2006). Self-regulation of agonist activity at the Y receptors. Peptides. 28(2). 203–213. 12 indexed citations
11.
Parker, Steven L., Michael S. Parker, Renu Sah, F.R. Sallee, & A. Balasubramaniam. (2006). Parallel inactivation of Y2 receptor and G-proteins in CHO cells by pertussis toxin. Regulatory Peptides. 139(1-3). 128–135. 13 indexed citations
12.
Parker, Michael S., Renu Sah, Ambikaipakan Balasubramaniam, & Steven L. Parker. (2004). Lithium inhibits internalization and endosomal processing of both neuropeptide Y (NPY) Y1 and transferrin receptors. Neuroscience Letters. 374(1). 43–46. 3 indexed citations
13.
14.
Parker, Michael S., Ingrid Lundell, & Steven L. Parker. (2002). Internalization of pancreatic polypeptide Y4 receptors: correlation of receptor intake and affinity. European Journal of Pharmacology. 452(3). 279–287. 10 indexed citations
15.
Parker, Michael S. & Donald D. Ourth. (1999). Specific binding of human interferon-γ to particulates from hemolymph and protocerebrum of tobacco hornworm (Manduca sexta) larvae. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 122(2). 155–163. 8 indexed citations
16.
Parker, Steven L., Michael S. Parker, & William R. Crowley. (1998). Characterization of Y1, Y2 and Y5 subtypes of the neuropeptide Y (NPY) receptor in rabbit kidney. Regulatory Peptides. 75-76. 127–143. 20 indexed citations
17.
Parker, Steven L., Michael S. Parker, Trevor W. Sweatman, & William R. Crowley. (1998). Characterization of G Protein and Phospholipase C-Coupled Agonist Binding to the Y1 Neuropeptide Y Receptor in Rat Brain: Sensitivity to G Protein Activators and Inhibitors and to Inhibitors of Phospholipase C. Journal of Pharmacology and Experimental Therapeutics. 286(1). 382–391. 29 indexed citations
18.
Parker, Michael S., et al.. (1993). Pond Biology and Food Chain Implications. 595–595.
19.
Parker, Michael S. & Allen W. Knight. (1992). Aquatic Invertebrates Inhabiting Saline Evaporation Ponds in the Southern San Joaquin Valley, California. Occidental College Scholar (Occidental College). 91(1). 39–43. 6 indexed citations
20.
Williams, Jack E., et al.. (1990). Status and Management of Shoshone Pupfish, Cyprinodon nevadensis shoshone (Cyprinodontidae), at Shoshone Spring, Inyo County, California. Occidental College Scholar (Occidental College). 89(1). 19–25. 6 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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