Hubert W. Vesper

7.4k total citations
127 papers, 5.2k citations indexed

About

Hubert W. Vesper is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology. According to data from OpenAlex, Hubert W. Vesper has authored 127 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Endocrinology, Diabetes and Metabolism, 23 papers in Molecular Biology and 19 papers in Physiology. Recurrent topics in Hubert W. Vesper's work include Hormonal and reproductive studies (29 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers) and Clinical Laboratory Practices and Quality Control (14 papers). Hubert W. Vesper is often cited by papers focused on Hormonal and reproductive studies (29 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers) and Clinical Laboratory Practices and Quality Control (14 papers). Hubert W. Vesper collaborates with scholars based in United States, Belgium and Netherlands. Hubert W. Vesper's co-authors include William Rosner, Gary L. Myers, Linda M. Thienpont, Julianne Cook Botelho, Alfred H. Merrill, Eva-Maria Schmelz, Daniel V. Lynch, Dirck L. Dillehay, Mariana Nikolova‐Karakashian and Patrick M. Sluss and has published in prestigious journals such as JAMA, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Hubert W. Vesper

123 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hubert W. Vesper United States 39 1.8k 1.2k 731 674 559 127 5.2k
Taiki Yamaji Japan 46 1.0k 0.6× 1.3k 1.1× 1.0k 1.4× 918 1.4× 682 1.2× 294 7.3k
Ali H. Eid Qatar 49 643 0.4× 2.8k 2.4× 743 1.0× 1.1k 1.6× 314 0.6× 250 8.2k
Maarten C. Bosland United States 41 744 0.4× 1.9k 1.7× 657 0.9× 405 0.6× 554 1.0× 175 5.9k
Charles Couillard Canada 37 2.2k 1.2× 658 0.6× 233 0.3× 1.6k 2.3× 672 1.2× 94 5.7k
Ying Li China 45 1.4k 0.8× 2.2k 1.9× 492 0.7× 1.3k 2.0× 630 1.1× 355 7.3k
William J. Aronson United States 61 1.5k 0.9× 1.8k 1.6× 635 0.9× 1.2k 1.7× 1.0k 1.8× 310 12.1k
Antonella Riva Italy 41 475 0.3× 1.6k 1.4× 591 0.8× 624 0.9× 690 1.2× 202 5.6k
Mohammed H. Moghadasian Canada 35 691 0.4× 1.6k 1.3× 323 0.4× 677 1.0× 1.5k 2.7× 108 5.6k
Xia Xu United States 43 1.6k 0.9× 2.3k 2.0× 2.9k 4.0× 634 0.9× 1.1k 1.9× 172 7.9k
Mi Kyung Kim South Korea 42 608 0.3× 1.6k 1.4× 624 0.9× 1.2k 1.8× 1.3k 2.3× 354 7.0k

Countries citing papers authored by Hubert W. Vesper

Since Specialization
Citations

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

Fields of papers citing papers by Hubert W. Vesper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hubert W. Vesper

This figure shows the co-authorship network connecting the top 25 collaborators of Hubert W. Vesper. A scholar is included among the top collaborators of Hubert W. Vesper 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 Hubert W. Vesper. Hubert W. Vesper 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.
Lyle, Alicia N., et al.. (2025). Interlaboratory comparison of serum lipoprotein(a) analytical results across clinical assays—Steps toward standardization. Journal of clinical lipidology. 19(3). 531–543. 1 indexed citations
2.
3.
Stanczyk, Frank Z. & Hubert W. Vesper. (2025). Challenges in developing accurate assays for the measurement of estradiol and testosterone in postmenopausal women. Menopause The Journal of The North American Menopause Society. 32(12). 1149–1156. 1 indexed citations
4.
Holdenrieder, Stefan, Yeo‐Min Yun, Dina Patel, et al.. (2024). External quality assessment-based tumor marker harmonization simulation; Insights in achievable harmonization for CA 15–3 and CEA. Clinica Chimica Acta. 558. 119110–119110. 1 indexed citations
5.
Rossum, Huub H. van, Stefan Holdenrieder, Bart E.P.B. Ballieux, et al.. (2024). Investigating the Current Harmonization Status of Tumor Markers Using Global External Quality Assessment Programs: A Feasibility Study. Clinical Chemistry. 70(4). 669–679. 6 indexed citations
6.
7.
Rossum, Huub H. van, Stefan Holdenrieder, Yeo‐Min Yun, et al.. (2024). External quality assessment-based tumor marker harmonization simulation; insights in achievable harmonization for CA 15-3 and CEA. Clinical Chemistry and Laboratory Medicine (CCLM). 63(2). 410–421.
8.
9.
Botelho, Julianne Cook, et al.. (2023). Practical considerations for accurate determination of free thyroxine by equilibrium dialysis. SHILAP Revista de lepidopterología. 29. 9–15. 3 indexed citations
10.
Uytfanghe, Katleen Van, et al.. (2023). Development of an equilibrium dialysis ID-UPLC-MS/MS candidate reference measurement procedure for free thyroxine in human serum. Clinical Biochemistry. 116. 42–51. 6 indexed citations
11.
Melanson, Stacy E.F., Karen Schulz, Zhen Zhao, et al.. (2023). Large-Scale Scientific Study Led by a Professional Organization during the COVID-19 Pandemic: Operations, Best Practices, and Lessons Learned. The Journal of Applied Laboratory Medicine. 9(2). 371–385. 1 indexed citations
12.
Althaus, Harald, Eduardo Anglés‐Cano, Uta Ceglarek, et al.. (2023). Commutability Assessment of Candidate Reference Materials for Lipoprotein(a) by Comparison of a MS-based Candidate Reference Measurement Procedure with Immunoassays. Clinical Chemistry. 69(3). 262–272. 13 indexed citations
13.
Vesper, Hubert W., Katleen Van Uytfanghe, Akira Hishinuma, et al.. (2021). Implementing reference systems for thyroid function tests – A collaborative effort. Clinica Chimica Acta. 519. 183–186. 12 indexed citations
14.
Panteghini, Mauro, Federica Braga, Johanna E Camara, et al.. (2021). Optimizing Available Tools for Achieving Result Standardization: Value Added by Joint Committee on Traceability in Laboratory Medicine (JCTLM). Clinical Chemistry. 67(12). 1590–1605. 22 indexed citations
15.
Wei, Na, et al.. (2021). Silver ion chromatography for the analysis of trans-fatty acid isomers in humans. 20–23. 1 indexed citations
16.
Vesper, Hubert W., Samuel P. Caudill, Heather Kuiper, et al.. (2017). Plasma trans-fatty acid concentrations in fasting adults declined from NHANES 1999–2000 to 2009–2010. American Journal of Clinical Nutrition. 105(5). 1063–1069. 30 indexed citations
17.
Sturgeon, Catharine M., Stuart M. Sprague, Étienne Cavalier, et al.. (2016). Perspective and priorities for improvement of parathyroid hormone (PTH) measurement – A view from the IFCC Working Group for PTH. Clinica Chimica Acta. 467. 42–47. 42 indexed citations
18.
Demers, L. M., Susan E. Hankinson, Shannon Haymond, et al.. (2015). Measuring Estrogen Exposure and Metabolism: Workshop Recommendations on Clinical Issues. The Journal of Clinical Endocrinology & Metabolism. 100(6). 2165–2170. 25 indexed citations
19.
Wang, Yuesong, et al.. (2014). Total testosterone quantitative measurement in serum by LC-MS/MS. Clinica Chimica Acta. 436. 263–267. 50 indexed citations
20.
Gajewski, W., et al.. (1989). Der Kalina-Prozess: thermodynamische Grundlagen und Realisierbarkeit. 69(5). 477–483. 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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