F. W. Chu

464 citations
10 papers · 342 · h-index 8

Impact in

Papers in

F. W. Chu

10 papers receiving 323 citations

Peers

F. W. Chu
Comparison fields: 5 of 78
  • Behavioral Neuroscience 20
  • Radiology, Nuclear Medicine and Imaging 90
  • Molecular Biology 230
  • Biomedical Engineering 101
  • Endocrinology, Diabetes and Metabolism 32
Replace J.B. Kim with:
J.B. Kim Israel
Frederick Chu United Kingdom
Richard R. Chapleau United States
Bruno Giardina Italy
Edit Sperling United States
Carlo van Staden United States
Gergana G. Nestorova United States
Geoffrey J. Taghon United States
Eduardo Jardón‐Valadez Mexico
Andreas A. Thaer Germany
F. W. Chu relative to J.B. Kim Israel J.B. Kim's profile →
Citations per field
00.5×
J.B. Kim · 1×
Citations per year

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-authors

The 20 scholars most cited alongside F. W. Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F. W. Chu Line = papers co-authored together F. W. Chu links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1991179
2
Multispot, multianalyte, immunoassay.
199075
3 198824
4 199216
5 198612
6 198411
7 199310
8 19868
9 20245
10 19842

About F. W. Chu

F. W. Chu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Nutrition and Dietetics, having authored 10 papers that have together received 342 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Renin-Angiotensin System Studies (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Hormonal Regulation and Hypertension (2 papers), Glycogen Storage Diseases and Myoclonus (1 paper), Vitamin K Research Studies (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Behavioral Neuroscience (20 citations), Radiology, Nuclear Medicine and Imaging (90 citations), Molecular Biology (230 citations), Biomedical Engineering (101 citations) and Endocrinology, Diabetes and Metabolism (32 citations). F. W. Chu has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Roger Ekins, E.M. Biggart, R. P. Ekins, Guy Whitley, J. F. Tait, J. B. G. Bell, Sylvia Agnes Sophia Tait, S. A. S. Tait, Yuyu He and Roxanne Y. Y. Chan. Their work appears in journals such as Journal of Endocrinology, Clinical Chemistry, European Journal of Endocrinology, Analytical and Bioanalytical Chemistry and Cells.

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.

Explore authors with similar magnitude of impact