John C. Kermode

1.5k total citations
40 papers, 1.2k citations indexed

About

John C. Kermode is a scholar working on Molecular Biology, Hematology and Cellular and Molecular Neuroscience. According to data from OpenAlex, John C. Kermode has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Hematology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in John C. Kermode's work include Platelet Disorders and Treatments (12 papers), Receptor Mechanisms and Signaling (9 papers) and Neuropeptides and Animal Physiology (8 papers). John C. Kermode is often cited by papers focused on Platelet Disorders and Treatments (12 papers), Receptor Mechanisms and Signaling (9 papers) and Neuropeptides and Animal Physiology (8 papers). John C. Kermode collaborates with scholars based in United States, United Kingdom and Jamaica. John C. Kermode's co-authors include Michael Sobel, C. J. Edmonds, Elmer L. Becker, B. D. Thompson, Paul H. Naccache, R.I. Sha’afi, Dulce Soler, Ross Harris, S. Hayes and Wen-Cheng Chung and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Cell Biology.

In The Last Decade

John C. Kermode

39 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John C. Kermode United States 16 432 250 250 180 158 40 1.2k
Minoru Tozuka Japan 20 560 1.3× 125 0.5× 360 1.4× 220 1.2× 147 0.9× 101 1.2k
Sam Chun United States 7 444 1.0× 46 0.2× 365 1.5× 201 1.1× 338 2.1× 9 1.2k
Linda M. Hiebert Canada 17 229 0.5× 162 0.6× 265 1.1× 74 0.4× 48 0.3× 52 973
R. Dean Hautamaki United States 9 330 0.8× 116 0.5× 159 0.6× 88 0.5× 214 1.4× 10 1.9k
A. Maria Olofsson United States 12 357 0.8× 83 0.3× 179 0.7× 45 0.3× 232 1.5× 14 1.1k
Robert J. Bjercke United States 19 803 1.9× 45 0.2× 96 0.4× 154 0.9× 194 1.2× 38 1.6k
N.-H. Choi-Miura Japan 14 596 1.4× 102 0.4× 64 0.3× 63 0.3× 159 1.0× 16 1.7k
Yi Ma China 13 326 0.8× 176 0.7× 149 0.6× 71 0.4× 217 1.4× 24 942
Mark Warnock United States 16 323 0.7× 205 0.8× 143 0.6× 72 0.4× 141 0.9× 33 1.4k
Hiroshi Nishitani Japan 16 175 0.4× 114 0.5× 194 0.8× 147 0.8× 249 1.6× 60 1.4k

Countries citing papers authored by John C. Kermode

Since Specialization
Citations

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

Fields of papers citing papers by John C. Kermode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Kermode. 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 John C. Kermode. The network helps show where John C. Kermode may publish in the future.

Co-authorship network of co-authors of John C. Kermode

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Kermode. A scholar is included among the top collaborators of John C. Kermode 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 John C. Kermode. John C. Kermode 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.
Majumdar, Suvankar, et al.. (2017). Platelet activation and erythrocyte lysis during brief exposure of blood to pathophysiological shear stress in vitro. Clinical Hemorheology and Microcirculation. 67(2). 159–172. 4 indexed citations
2.
Choi, Jaehwa & John C. Kermode. (2011). New Therapeutic Approaches to Combat Arterial Thrombosis: Better Drugs for Old Targets, Novel Targets, and Future Prospects. Molecular Interventions. 11(2). 111–123. 13 indexed citations
3.
Majumdar, Suvankar, Amy Morris, Claire C. Gordon, et al.. (2010). Alarmingly high prevalence of obesity in haemophilia in the state of Mississippi. Haemophilia. 16(3). 455–459. 26 indexed citations
4.
Kermode, John C., et al.. (2009). Thromboxane A 2 and ADP play synergistic roles in platelet activation by von Willebrand factor. The FASEB Journal. 23(S1). 1 indexed citations
6.
Shreeve, S. Martin, Miles P. Hacker, David Gannon, & John C. Kermode. (2006). Vasoactive Intestinal Peptide Activates both Gs and Gi in Lung. Annals of the New York Academy of Sciences. 805(1). 516–520.
7.
Chung, Wen-Cheng & John C. Kermode. (2005). Suramin Disrupts Receptor-G Protein Coupling by Blocking Association of G Protein α and βγ Subunits. Journal of Pharmacology and Experimental Therapeutics. 313(1). 191–198. 55 indexed citations
8.
Kermode, John C., et al.. (1996). Fluorescent Indicators Give Biased Estimates of Intracellular Free Calcium Change in Aggregating Platelets: Implication for Studies with Human von Willebrand Factor. Blood Cells Molecules and Diseases. 22(3). 238–253. 8 indexed citations
9.
Diehl, Nicole L., John C. Kermode, & S. Martin Shreeve. (1996). Direct evidence for functional coupling of the vasoactive intestinal peptide receptor to Gi3 in native lung membranes.. Molecular Pharmacology. 50(3). 624–630. 10 indexed citations
10.
Suda, Yasuo, et al.. (1993). Structural characterization of heparin's binding domain for human platelets. Thrombosis Research. 69(6). 501–508. 20 indexed citations
11.
Shreeve, S. Martin, et al.. (1992). Molecular properties of the vasoactive intestinal peptide receptor in aorta and other tissues. Peptides. 13(5). 919–926. 12 indexed citations
12.
Leong, Lilley, Ruth Ann Henriksen, John C. Kermode, S E Rittenhouse, & Paula B. Tracy. (1992). The thrombin high-affinity binding site on platelets is a negative regulator of thrombin-induced platelet activation. Structure-function studies using two mutant thrombins, Quick I and Quick II. Biochemistry. 31(9). 2567–2576. 21 indexed citations
13.
Sobel, Michael, Dulce Soler, John C. Kermode, & Ross Harris. (1992). Localization and characterization of a heparin binding domain peptide of human von Willebrand factor.. Journal of Biological Chemistry. 267(13). 8857–8862. 150 indexed citations
14.
Sobel, Michael, Peter McNeill, Patricia L. Carlson, et al.. (1991). Heparin inhibition of von Willebrand factor-dependent platelet function in vitro and in vivo.. Journal of Clinical Investigation. 87(5). 1787–1793. 154 indexed citations
15.
Kermode, John C.. (1989). The curvilinear scatchard plot. Biochemical Pharmacology. 38(13). 2053–2060. 60 indexed citations
16.
Kermode, John C. & Thomas R. Tritton. (1989). Receptor-Purified, Bolton-Hunter Radioiodinated, Recombinant, Human Epidermal Growth Factor: An Improved Radioligand for Receptor Studies. Journal of Receptor Research. 9(6). 429–440. 3 indexed citations
17.
Kermode, John C., Natesa Muthukumaraswamy, & Richard J. Freer. (1988). Characteristics of Binding of a Potent Chemotactic Formyl Tetrapeptide, Formylmethionyl-Leucyl-Phenylalanyl-Phenylalanine, to the Receptors on Rabbit Neutrophils. Journal of Leukocyte Biology. 43(5). 420–428. 7 indexed citations
19.
Edmonds, C. J. & John C. Kermode. (1985). Thyrotrophin receptors, tumour radioiodine concentration and thyroglobulin secretion in differentiated thyroid cancers. British Journal of Cancer. 52(4). 537–541. 13 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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