Dolores J. Lamb

15.1k total citations · 5 hit papers
239 papers, 10.9k citations indexed

About

Dolores J. Lamb is a scholar working on Reproductive Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Dolores J. Lamb has authored 239 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Reproductive Medicine, 101 papers in Molecular Biology and 86 papers in Genetics. Recurrent topics in Dolores J. Lamb's work include Sperm and Testicular Function (108 papers), Sexual Differentiation and Disorders (68 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (66 papers). Dolores J. Lamb is often cited by papers focused on Sperm and Testicular Function (108 papers), Sexual Differentiation and Disorders (68 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (66 papers). Dolores J. Lamb collaborates with scholars based in United States, Canada and Israel. Dolores J. Lamb's co-authors include Martin M. Matzuk, Larry I. Lipshultz, Jason R. Kovac, Michael L. Eisenberg, Maria Rosa Maduro, Alexander W. Pastuszak, Ranjith Ramasamy, Christopher J. De Jonge, Craig Niederberger and Kathleen Hwang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Medicine.

In The Last Decade

Dolores J. Lamb

234 papers receiving 10.6k citations

Hit Papers

World Health Organization... 2000 2026 2008 2017 2000 2008 2017 2023 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dolores J. Lamb United States 50 5.9k 4.0k 3.8k 3.1k 1.4k 239 10.9k
Philippa T. K. Saunders United Kingdom 79 9.8k 1.7× 6.1k 1.5× 4.2k 1.1× 7.0k 2.2× 2.2k 1.6× 293 19.3k
Robert I. McLachlan Australia 58 6.0k 1.0× 3.8k 0.9× 3.5k 0.9× 2.5k 0.8× 3.4k 2.5× 226 11.5k
Nigel P. Groome United Kingdom 65 5.1k 0.8× 6.0k 1.5× 5.4k 1.4× 2.4k 0.8× 1.6k 1.1× 226 13.8k
Sabine Kliesch Germany 52 4.5k 0.8× 3.6k 0.9× 2.0k 0.5× 2.1k 0.7× 1.2k 0.8× 283 8.3k
Manuela Simoni Italy 68 8.9k 1.5× 5.4k 1.3× 4.7k 1.3× 5.0k 1.6× 3.0k 2.2× 362 14.6k
Bruce R. Carr United States 53 4.7k 0.8× 1.7k 0.4× 2.7k 0.7× 2.3k 0.7× 2.7k 2.0× 290 10.4k
Matti Poutanen Finland 57 3.4k 0.6× 3.8k 0.9× 1.8k 0.5× 3.9k 1.2× 2.7k 2.0× 295 10.8k
Juha S. Tapanainen Finland 62 6.7k 1.1× 2.8k 0.7× 4.9k 1.3× 2.0k 0.6× 2.4k 1.7× 234 11.6k
Hermann M. Behre Germany 51 5.7k 1.0× 3.0k 0.7× 3.0k 0.8× 1.6k 0.5× 4.8k 3.5× 150 10.8k
Csilla Krausz Italy 57 7.2k 1.2× 4.3k 1.1× 3.6k 0.9× 4.8k 1.5× 616 0.5× 158 10.2k

Countries citing papers authored by Dolores J. Lamb

Since Specialization
Citations

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

Fields of papers citing papers by Dolores J. Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dolores J. Lamb. 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 Dolores J. Lamb. The network helps show where Dolores J. Lamb may publish in the future.

Co-authorship network of co-authors of Dolores J. Lamb

This figure shows the co-authorship network connecting the top 25 collaborators of Dolores J. Lamb. A scholar is included among the top collaborators of Dolores J. Lamb 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 Dolores J. Lamb. Dolores J. Lamb 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.
Lamb, Dolores J.. (2025). Chromosome defects and male factor infertility. Fertility and Sterility. 123(6). 933–942. 2 indexed citations
2.
Lamb, Dolores J., et al.. (2023). OR04-02 KANK1 Deficiencies Underlie A Subset of Male Congenital Genitourinary Anomalies. Journal of the Endocrine Society. 7(Supplement_1).
3.
Eisenberg, Michael L., Sandro C. Esteves, Dolores J. Lamb, et al.. (2023). Male infertility. Nature Reviews Disease Primers. 9(1). 49–49. 200 indexed citations breakdown →
4.
Punjani, Nahid, Caroline Kang, & Dolores J. Lamb. (2022). Genetic Implications of Male-Reproductive-Health-Associated Comorbidities. SHILAP Revista de lepidopterología. 48(5). 363–374. 2 indexed citations
5.
Lamb, Dolores J., et al.. (2022). Updates in Sertoli Cell-Mediated Signaling During Spermatogenesis and Advances in Restoring Sertoli Cell Function. Frontiers in Endocrinology. 13. 897196–897196. 18 indexed citations
7.
Ramasamy, Ranjith, Emre Bakırcıoğlu, Ender Karaca, et al.. (2015). Whole-exome sequencing identifies novel homozygous mutation in NPAS2 in family with nonobstructive azoospermia. Fertility and Sterility. 104(2). 286–291. 49 indexed citations
8.
Eisenberg, Michael L., S. Li, Barry Behr, et al.. (2014). Semen quality, infertility and mortality in the USA. Human Reproduction. 29(7). 1567–1574. 167 indexed citations
9.
10.
Pastuszak, Alexander W. & Dolores J. Lamb. (2013). Counting your sperm before they fertilize: are sperm counts really declining?. Asian Journal of Andrology. 15(2). 179–183. 5 indexed citations
11.
Kovac, Jason R., Josephine Addai, Ryan P. Smith, et al.. (2013). The effects of advanced paternal age on fertility. Asian Journal of Andrology. 15(6). 723–728. 80 indexed citations
12.
Yatsenko, Alexander N., Angshumoy Roy, Ruihong Chen, et al.. (2011). Association of mutations in the zona pellucida binding protein 1 (ZPBP1) gene with abnormal sperm head morphology in infertile men. Molecular Human Reproduction. 18(1). 14–21. 69 indexed citations
13.
Feng, Shu, Alberto Ferlin, Anne Truong, et al.. (2009). INSL3/RXFP2 Signaling in Testicular Descent. Annals of the New York Academy of Sciences. 1160(1). 197–204. 56 indexed citations
14.
Lamb, Dolores J.. (2008). Would gene therapy for the treatment of male infertility be safe?. Nature Clinical Practice Urology. 5(11). 594–595. 4 indexed citations
15.
Yatsenko, Alexander N., Angshumoy Roy, Ruihong Chen, et al.. (2006). Non-invasive genetic diagnosis of male infertility using spermatozoal RNA: KLHL10mutations in oligozoospermic patients impair homodimerization. Human Molecular Genetics. 15(23). 3411–3419. 103 indexed citations
16.
Liu, Hui, et al.. (2005). Computational models of intracytoplasmic sperm injection prognosis.. The European Symposium on Artificial Neural Networks. 115–120. 9 indexed citations
17.
Lo, Kirk, Victor M. Brugh, Michele Parker, & Dolores J. Lamb. (2004). Isolation and Enrichment of Murine Spermatogonial Stem Cells Using Rhodamine 123 Mitochondrial Dye1. Biology of Reproduction. 72(3). 767–771. 40 indexed citations
18.
Lipshultz, Larry I., et al.. (1995). A quality control system for the optimized sperm penetration assay. Fertility and Sterility. 64(4). 832–837. 23 indexed citations
19.
Lamb, Dolores J., et al.. (1994). Sertoli Cell‐Conditioned Medium Affects Nucleoside Utilization In Vitro. Journal of Andrology. 15(2). 117–124. 1 indexed citations
20.
Niederberger, Craig, Larry I. Lipshultz, & Dolores J. Lamb. (1993). A neural network to analyze fertility data. Fertility and Sterility. 60(2). 324–330. 21 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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