Jacquelyn C. Labus

576 citations
11 papers · 510 · h-index 11

Impact in

Papers in

Jacquelyn C. Labus

11 papers receiving 486 citations

Peers

Jacquelyn C. Labus
Comparison fields: 5 of 63
  • Reproductive Medicine 277
  • Public Health, Environmental and Occupational Health 172
  • Biochemistry 44
  • Endocrinology, Diabetes and Metabolism 69
  • Clinical Biochemistry 25
Replace Daniel B. Rudolph with:
Daniel B. Rudolph United States
Weipeng Xiong China
Wendy Ankener United States
Pierre Calvel France
Sophie Fouchécourt France
Alejandra Piazza Argentina
Jean-Louis Dacheux France
TG Cooper Germany
Josep Lluís Ballescà Spain
Patrick Syntin France
Jacquelyn C. Labus relative to Daniel B. Rudolph United States Daniel B. Rudolph's profile →
Citations per field
00.5×2.8×
Daniel B. Rudolph · 1×
Citations per year

Countries citing papers authored by Jacquelyn C. Labus

Since Specialization
Citations

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

Fields of papers citing papers by Jacquelyn C. Labus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Jacquelyn C. Labus, 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 Jacquelyn C. Labus Line = papers co-authored together Jacquelyn C. Labus links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Testicular regulation of epididymal gene expression.
1998120
2 199889
3 199687
4 200241
5 199737
6
Oxidative stress differentially regulates the expression of gamma-glutamyl transpeptidase mRNAs in the initial segment of the rat epididymis.
199830
7 200328
8 199927
9 199823
10 200015
11 200413

About Jacquelyn C. Labus

Jacquelyn C. Labus is a scholar working on Reproductive Medicine, Molecular Biology, Oncology, Public Health, Environmental and Occupational Health and Biochemistry, having authored 11 papers that have together received 510 indexed citations. Recurring topics across this work include Sperm and Testicular Function (5 papers), Reproductive Biology and Fertility (3 papers), Polyomavirus and related diseases (2 papers), RNA Interference and Gene Delivery (2 papers), Sulfur Compounds in Biology (2 papers), Selenium in Biological Systems (2 papers), Microbial Inactivation Methods (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Reproductive Medicine (277 citations), Public Health, Environmental and Occupational Health (172 citations), Biochemistry (44 citations), Endocrinology, Diabetes and Metabolism (69 citations) and Clinical Biochemistry (25 citations). Jacquelyn C. Labus has collaborated with scholars based in United States and France. Frequent co-authors include Barry T. Hinton, Zi‐Jian Lan, Daniel B. Rudolph, R. John Lye, Michael A. Palladino, Caroline M. Markey, Ling Yang, Jennifer L. Kirby, Richard N. Day and Gail A. Cornwall. Their work appears in journals such as Biology of Reproduction, Journal of Andrology, Current topics in developmental biology and PubMed.

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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