F. C. W. Wu

1.4k total citations
9 papers, 823 citations indexed

About

F. C. W. Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Animal Science and Zoology and Cell Biology. According to data from OpenAlex, F. C. W. Wu has authored 9 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Animal Science and Zoology and 3 papers in Cell Biology. Recurrent topics in F. C. W. Wu's work include Hormonal and reproductive studies (7 papers), Muscle metabolism and nutrition (3 papers) and Pharmacological Effects and Assays (3 papers). F. C. W. Wu is often cited by papers focused on Hormonal and reproductive studies (7 papers), Muscle metabolism and nutrition (3 papers) and Pharmacological Effects and Assays (3 papers). F. C. W. Wu collaborates with scholars based in United Kingdom, United States and Netherlands. F. C. W. Wu's co-authors include Arnold von Eckardstein, L.J.G. Gooren, Eberhard Nieschlag, John E. Morley, W. Weidner, Bruno Lunenfeld, Jean‐Marc Kaufman, C. Schulman, Behre Hm and J.-J. Legros and has published in prestigious journals such as Endocrine Reviews, European Urology and Journal of Andrology.

In The Last Decade

F. C. W. Wu

9 papers receiving 788 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
F. C. W. Wu United Kingdom	7	679	200	194	183	124	9	823
Philip E. Knapp United States	10	624 0.9×	202 1.0×	149 0.8×	130 0.7×	113 0.9×	17	743
Mark Ng Tang Fui Australia	12	715 1.1×	314 1.6×	177 0.9×	175 1.0×	214 1.7×	22	964
Olga M. Calof United States	5	674 1.0×	248 1.2×	290 1.5×	127 0.7×	223 1.8×	7	885
T Hugh Jones United Kingdom	13	1.0k 1.5×	356 1.8×	294 1.5×	206 1.1×	162 1.3×	22	1.2k
Kendra E. Wulczyn United States	5	558 0.8×	113 0.6×	170 0.9×	130 0.7×	109 0.9×	9	754
Upendram Srinivas-Shankar United Kingdom	7	473 0.7×	194 1.0×	170 0.9×	90 0.5×	212 1.7×	14	711
Maithili N. Davda United States	10	460 0.7×	137 0.7×	105 0.5×	103 0.6×	73 0.6×	11	649
Cecilia McWhirter United States	11	845 1.2×	428 2.1×	267 1.4×	207 1.1×	192 1.5×	14	980
Karim Sultan Haider Germany	13	561 0.8×	289 1.4×	142 0.7×	83 0.5×	136 1.1×	39	677
Doris Huebler Germany	7	749 1.1×	94 0.5×	213 1.1×	194 1.1×	57 0.5×	11	859

Countries citing papers authored by F. C. W. Wu

Since Specialization

Citations

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

Fields of papers citing papers by F. C. W. Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. C. W. Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Hollywood, Katherine A., et al.. (2024). Metabolomic heterogeneity of ageing with ethnic diversity: a step closer to healthy ageing. Metabolomics. 21(1). 9–9. 2 indexed citations

2.

Jayasena, Channa, Nipun Lakshitha de Silva, Michael O’Reilly, et al.. (2023). Standardising the biochemical confirmation of adult male hypogonadism; a joint position statement by the Society for Endocrinology and Association of Clinical Biochemistry and Laboratory Medicine*. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 60(4). 223–227. 7 indexed citations

3.

O’Connell, Matthew, Abdelouahid Tajar, S. A. Roberts, & F. C. W. Wu. (2010). Do androgens play any role in the physical frailty of ageing men?. International Journal of Andrology. 34(3). 195–211. 32 indexed citations

4.

Nieschlag, Eberhard, Hermann M. Behre, L.J.G. Gooren, et al.. (2006). Investigation, Treatment, and Monitoring of Late‐Onset Hypogonadism in Males: ISA, ISSAM, and EAU Recommendations. Journal of Andrology. 27(2). 135–137. 101 indexed citations

5.

Nieschlag, Eberhard, Ronald S. Swerdloff, Behre Hm, et al.. (2005). Investigation, Treatment and Monitoring of Late-Onset Hypogonadism in Males. European Urology. 48(1). 1–4. 156 indexed citations

6.

Eckardstein, Arnold von & F. C. W. Wu. (2003). Testosterone and atherosclerosis. Growth Hormone & IGF Research. 13. S72–S84. 55 indexed citations

7.

Wu, F. C. W. & Arnold von Eckardstein. (2003). Androgens and Coronary Artery Disease. Endocrine Reviews. 24(2). 183–217. 460 indexed citations

8.

Wu, F. C. W.. (1985). Male hypogonadism--current concepts and trends.. PubMed. 12(3). 531–55. 8 indexed citations

9.

Wu, F. C. W.. (1985). Male Hypogonadism—Current Concepts and Trends. Clinics in Obstetrics and Gynaecology. 12(3). 531–555. 2 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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