F. W. Chu

462 total citations
10 papers, 343 citations indexed

About

F. W. Chu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, F. W. Chu has authored 10 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in F. W. Chu's work include Glycosylation and Glycoproteins Research (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and Receptor Mechanisms and Signaling (2 papers). F. W. Chu is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and Receptor Mechanisms and Signaling (2 papers). F. W. Chu collaborates with scholars based in United Kingdom, United States and China. F. W. Chu's co-authors include Roger Ekins, E.M. Biggart, R. P. Ekins, J. B. G. Bell, J. F. Tait, Guy Whitley, Sylvia Agnes Sophia Tait, S. A. S. Tait, Roxanne Y. Y. Chan and C. Nerenberg and has published in prestigious journals such as Clinical Chemistry, Analytical and Bioanalytical Chemistry and Journal of Endocrinology.

In The Last Decade

F. W. Chu

10 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. W. Chu United Kingdom 8 242 109 101 36 24 10 343
J.B. Kim Israel 10 220 0.9× 43 0.4× 152 1.5× 30 0.8× 21 0.9× 15 329
Richard R. Chapleau United States 6 118 0.5× 75 0.7× 9 0.1× 4 0.1× 16 0.7× 24 225
Ranald M. Sutherland Switzerland 6 142 0.6× 117 1.1× 58 0.6× 6 0.2× 10 0.4× 10 265
Leanna Levine United States 4 240 1.0× 56 0.5× 6 0.1× 10 0.3× 9 0.4× 5 403
Takeshi Matsuya Japan 6 169 0.7× 65 0.6× 14 0.1× 7 0.2× 10 0.4× 11 359
Nicole Navarro France 12 221 0.9× 213 2.0× 15 0.1× 69 1.9× 5 0.2× 17 539
Gopal M. Bhatnagar United States 9 426 1.8× 32 0.3× 13 0.1× 10 0.3× 44 1.8× 17 581
Alistair D. Kippen United Kingdom 8 251 1.0× 12 0.1× 55 0.5× 43 1.2× 113 4.7× 10 340
David J. Litman United States 9 277 1.1× 100 0.9× 62 0.6× 4 0.1× 19 0.8× 15 394
Leon Unger United States 11 262 1.1× 43 0.4× 6 0.1× 7 0.2× 17 0.7× 38 491

Countries citing papers authored by F. W. Chu

Since Specialization
Citations

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

Fields of papers citing papers by F. W. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. W. Chu. 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 F. W. Chu. The network helps show where F. W. Chu may publish in the future.

Co-authorship network of co-authors of F. W. Chu

This figure shows the co-authorship network connecting the top 25 collaborators of F. W. Chu. A scholar is included among the top collaborators of F. W. Chu 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 F. W. Chu. F. W. Chu 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.
Yang, Caiting, Miaomiao Shao, F. W. Chu, et al.. (2024). Brain-Type Glycogen Phosphorylase (PYGB) in the Pathologies of Diseases: A Systematic Review. Cells. 13(3). 289–289. 4 indexed citations
2.
Nerenberg, C., et al.. (1993). Radioimmunoassay of Ganirelix in Plasma or Serum. Journal of Immunoassay. 14(3). 191–207. 10 indexed citations
3.
Ekins, Roger & F. W. Chu. (1992). Multianalyte immunoassay. Analytical and Bioanalytical Chemistry. 343(1). 23–23. 16 indexed citations
4.
Ekins, Roger & F. W. Chu. (1991). Multianalyte microspot immunoassay--microanalytical "compact disk" of the future. Clinical Chemistry. 37(11). 1955–1967. 179 indexed citations
5.
Ekins, Roger, F. W. Chu, & E.M. Biggart. (1990). Multispot, multianalyte, immunoassay.. PubMed. 48(9). 655–66. 77 indexed citations
7.
Bell, J. B. G., et al.. (1986). Effects of α-melanocyte-stimulating hormone on the cyclic AMP and phospholipid metabolism of rat adrenocortical cells. Journal of Endocrinology. 110(3). 405–416. 12 indexed citations
9.
Bell, J. B. G., F. W. Chu, J. F. Tait, Sylvia Agnes Sophia Tait, & M. C. Khosla. (1984). The use of the superfusion approach with rat adrenal capsular cells to compare the steroidogenic potencies of angiotensin analogues, without the effects of peptide degradation. Proceedings of the Royal Society of London. Series B, Biological sciences. 221(1222). 21–30. 2 indexed citations
10.
Whitley, Guy, J. B. G. Bell, F. W. Chu, J. F. Tait, & Sylvia Agnes Sophia Tait. (1984). The effects of ACTH, serotonin, K+ and angiotensin analogues on 32P incorporation into phospholipids of the rat adrenal cortex: basis for an assay method using zona glomerulosa cells. Proceedings of the Royal Society of London. Series B, Biological sciences. 222(1228). 273–294. 11 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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