C. Fred Kemp

1.3k total citations
12 papers, 1.1k citations indexed

About

C. Fred Kemp is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, C. Fred Kemp has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Molecular Biology and 4 papers in Behavioral Neuroscience. Recurrent topics in C. Fred Kemp's work include Stress Responses and Cortisol (4 papers), Adrenal Hormones and Disorders (4 papers) and Muscle Physiology and Disorders (3 papers). C. Fred Kemp is often cited by papers focused on Stress Responses and Cortisol (4 papers), Adrenal Hormones and Disorders (4 papers) and Muscle Physiology and Disorders (3 papers). C. Fred Kemp collaborates with scholars based in United Kingdom, New Zealand and Germany. C. Fred Kemp's co-authors include P. G. Knight, Claire Glister, Ketan Patel, Helge Amthor, G. Nicholas, Ravi Kambadur, Mridula Sharma, Iain W. McKinnell, R. J. Woods and P. J. Lowry and has published in prestigious journals such as Journal of Molecular Biology, The Journal of Clinical Endocrinology & Metabolism and Journal of Virology.

In The Last Decade

C. Fred Kemp

12 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Fred Kemp United Kingdom 9 697 193 157 136 130 12 1.1k
Seung‐il Choi South Korea 23 727 1.0× 197 1.0× 161 1.0× 95 0.7× 86 0.7× 50 1.5k
Vladimir Zilberfarb France 21 564 0.8× 176 0.9× 378 2.4× 48 0.4× 55 0.4× 37 1.3k
Weidong Yong United States 22 832 1.2× 35 0.2× 133 0.8× 120 0.9× 110 0.8× 39 1.3k
Subhajit Dasgupta United States 21 393 0.6× 110 0.6× 155 1.0× 64 0.5× 69 0.5× 47 1.3k
Garrett Heinrich United States 18 510 0.7× 34 0.2× 177 1.1× 96 0.7× 105 0.8× 29 1.2k
Shuji Yamano Japan 20 439 0.6× 443 2.3× 124 0.8× 112 0.8× 78 0.6× 59 1.3k
Susanne V. Schmidt Germany 17 734 1.1× 44 0.2× 164 1.0× 60 0.4× 53 0.4× 29 1.8k
Olof Söder Sweden 21 469 0.7× 302 1.6× 61 0.4× 181 1.3× 33 0.3× 59 1.6k
Eri Nakamura Japan 13 263 0.4× 129 0.7× 51 0.3× 69 0.5× 67 0.5× 49 646

Countries citing papers authored by C. Fred Kemp

Since Specialization
Citations

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

Fields of papers citing papers by C. Fred Kemp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Fred Kemp

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

All Works

12 of 12 papers shown
1.
Calabuig-Navarro, Virtu, Kim G. Jackson, C. Fred Kemp, et al.. (2017). A randomized trial and novel SPR technique identifies altered lipoprotein-LDL receptor binding as a mechanism underlying elevated LDL-cholesterol in APOE4s. Scientific Reports. 7(1). 44119–44119. 4 indexed citations
2.
Wright, Bernice, Leonardo A. Moraes, C. Fred Kemp, et al.. (2010). A structural basis for the inhibition of collagen‐stimulated platelet function by quercetin and structurally related flavonoids. British Journal of Pharmacology. 159(6). 1312–1325. 91 indexed citations
3.
Zaccheo, Oliver, Stuart Prince, David M. Miller, et al.. (2006). Kinetics of Insulin-like Growth Factor II (IGF-II) Interaction with Domain 11 of the Human IGF-II/Mannose 6-phosphate Receptor: Function of CD and AB Loop Solvent-exposed Residues. Journal of Molecular Biology. 359(2). 403–421. 24 indexed citations
4.
Amthor, Helge, G. Nicholas, Iain W. McKinnell, et al.. (2004). Follistatin complexes Myostatin and antagonises Myostatin-mediated inhibition of myogenesis. Developmental Biology. 270(1). 19–30. 336 indexed citations
5.
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7.
Amthor, Helge, et al.. (2002). Follistatin Regulates Bone Morphogenetic Protein-7 (BMP-7) Activity to Stimulate Embryonic Muscle Growth. Developmental Biology. 243(1). 115–127. 111 indexed citations
8.
Nicholas, G., Mark Thomas, Brett Langley, et al.. (2002). Titin‐cap associates with, and regulates secretion of, Myostatin. Journal of Cellular Physiology. 193(1). 120–131. 86 indexed citations
9.
10.
Kemp, C. Fred, et al.. (1999). Cleavage of Recombinant Human Corticotropin-Releasing Factor (CRF)-Binding Protein Produces a 27-Kilodalton Fragment Capable of Binding CRF1. The Journal of Clinical Endocrinology & Metabolism. 84(8). 2788–2794. 16 indexed citations
11.
Kemp, C. Fred, R. J. Woods, & P. J. Lowry. (1998). The corticotrophin-releasing factor-binding protein: an act of several parts. Peptides. 19(6). 1119–1128. 63 indexed citations
12.
Woods, R. J., C. Fred Kemp, Joel David, & Philip J. Lowry. (1997). Heterogeneity of the Human Corticotropin-Releasing Factor-Binding Protein. The Journal of Clinical Endocrinology & Metabolism. 82(5). 1566–1571. 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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