Patricia M. Saling

3.2k total citations
38 papers, 2.4k citations indexed

About

Patricia M. Saling is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Genetics. According to data from OpenAlex, Patricia M. Saling has authored 38 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Public Health, Environmental and Occupational Health, 33 papers in Reproductive Medicine and 8 papers in Genetics. Recurrent topics in Patricia M. Saling's work include Reproductive Biology and Fertility (33 papers), Sperm and Testicular Function (32 papers) and Reproductive System and Pregnancy (7 papers). Patricia M. Saling is often cited by papers focused on Reproductive Biology and Fertility (33 papers), Sperm and Testicular Function (32 papers) and Reproductive System and Pregnancy (7 papers). Patricia M. Saling collaborates with scholars based in United States, India and Argentina. Patricia M. Saling's co-authors include Lisette Leyton, Bayard T. Storey, Janice Sowinski, Robert Waibel, Rosa Carballada, Donna O. Bunch, Claudia N. Tomes, Grace P. Irons, Rebekah R. White and C. Marie Dowds and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Patricia M. Saling

38 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patricia M. Saling United States 23 2.1k 1.7k 541 454 364 38 2.4k
C. Barros Chile 23 1.6k 0.8× 1.6k 0.9× 657 1.2× 489 1.1× 298 0.8× 65 2.5k
Grace D. Moore United States 14 2.0k 1.0× 1.9k 1.1× 536 1.0× 343 0.8× 284 0.8× 22 2.6k
Marcel van Duin Netherlands 27 1.3k 0.6× 1.4k 0.8× 1.4k 2.5× 444 1.0× 141 0.4× 39 3.2k
Patricia S. Cuasnicú Argentina 30 1.9k 0.9× 1.4k 0.8× 621 1.1× 425 0.9× 116 0.3× 74 2.4k
Tadashi Baba Japan 28 1.3k 0.6× 1.0k 0.6× 914 1.7× 653 1.4× 139 0.4× 53 2.4k
Neal L. First United States 29 1.2k 0.6× 2.1k 1.2× 1.4k 2.6× 847 1.9× 143 0.4× 52 2.9k
Darío Krapf Argentina 24 1.7k 0.8× 1.4k 0.8× 514 1.0× 256 0.6× 217 0.6× 60 2.2k
Françoise Dacheux France 25 1.1k 0.6× 614 0.4× 709 1.3× 311 0.7× 125 0.3× 37 2.0k
Lennart Nicander Sweden 26 1.1k 0.5× 612 0.4× 435 0.8× 262 0.6× 139 0.4× 53 1.9k
George G. Ignotz United States 22 1.0k 0.5× 1.1k 0.6× 427 0.8× 336 0.7× 82 0.2× 33 1.6k

Countries citing papers authored by Patricia M. Saling

Since Specialization
Citations

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

Fields of papers citing papers by Patricia M. Saling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia M. Saling. 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 Patricia M. Saling. The network helps show where Patricia M. Saling may publish in the future.

Co-authorship network of co-authors of Patricia M. Saling

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia M. Saling. A scholar is included among the top collaborators of Patricia M. Saling 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 Patricia M. Saling. Patricia M. Saling 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.
Tomes, Claudia N., Carlos M. Roggero, Gerardo De Blas, Patricia M. Saling, & Luis S. Mayorga. (2003). Requirement of protein tyrosine kinase and phosphatase activities for human sperm exocytosis. Developmental Biology. 265(2). 399–415. 50 indexed citations
2.
Kiefer, Susan M. & Patricia M. Saling. (2002). Proteolytic Processing of Human Zona Pellucida Proteins1. Biology of Reproduction. 66(2). 407–414. 38 indexed citations
3.
Dowds, C. Marie, et al.. (1997). Molecules Involved in Mammalian Sperm-Egg Interaction. International review of cytology. 177. 57–113. 169 indexed citations
4.
Carballada, Rosa & Patricia M. Saling. (1997). Regulation of mouse epididymal epithelium in vitro by androgens, temperature and fibroblasts. Reproduction. 110(1). 171–181. 33 indexed citations
5.
Leyton, Lisette, Claudia N. Tomes, & Patricia M. Saling. (1995). LL95 monoclonal antibody mimics functional effects of ZP3 on mouse sperm: Evidence that the antigen recognized is not hexokinase. Molecular Reproduction and Development. 42(3). 347–358. 20 indexed citations
6.
Leyton, Lisette, et al.. (1992). Regulation of mouse gamete interaction by a sperm tyrosine kinase.. Proceedings of the National Academy of Sciences. 89(24). 11692–11695. 129 indexed citations
7.
Beebe, Stephen J., et al.. (1992). Recombinant mouse ZP3 inhibits sperm binding and induces the acrosome reaction. Developmental Biology. 151(1). 48–54. 71 indexed citations
8.
Wolf, David E., et al.. (1992). Protein dynamics in sperm membranes: Implications for sperm function during gamete interaction. Molecular Reproduction and Development. 33(2). 228–234. 15 indexed citations
9.
Saling, Patricia M.. (1991). How the Egg Regulates Sperm Function during Gamete Interaction: Facts and Fantasies1. Biology of Reproduction. 44(2). 246–251. 57 indexed citations
10.
Saling, Patricia M.. (1990). Sperm Antigens in Fertilization. Immunology and Allergy Clinics of North America. 10(1). 149–164. 3 indexed citations
11.
Leyton, Lisette & Patricia M. Saling. (1989). 95 kd sperm proteins bind ZP3 and serve as tyrosine kinase substrates in response to zona binding. Cell. 57(7). 1123–1130. 284 indexed citations
12.
Leyton, Lisette, et al.. (1989). Relationship between the M42 antigen of mouse sperm and the acrosome reaction induced by ZP3. Developmental Biology. 132(1). 174–178. 36 indexed citations
13.
Carron, Christopher P., Askale Mathias, & Patricia M. Saling. (1989). Anti-Idiotype Antibodies Prevent Antibody Binding to Mouse Sperm and Antibody-Mediated Inhibition of Fertilization1. Biology of Reproduction. 41(1). 153–162. 3 indexed citations
14.
Carron, Christopher P., et al.. (1988). Characterization of Antibodies to Idiotypic Determinants of Monoclonal Anti-Sperm Antibodies1. Biology of Reproduction. 38(5). 1093–1103. 7 indexed citations
15.
Carron, Christopher P., et al.. (1988). Epididymal Maturation and the Acrosome Reaction in Mouse Sperm: Response to Zona Pellucida Develops Coincident with Modification of M42 Antigen1. Biology of Reproduction. 38(1). 221–233. 53 indexed citations
16.
Saling, Patricia M.. (1986). Mouse sperm antigens that participate in fertilization. Developmental Biology. 117(2). 511–519. 73 indexed citations
17.
Saling, Patricia M., et al.. (1985). Mouse Sperm Antigens that Participate in Fertilization. II. Inhibition of Sperm Penetration through the Zona Pellucida Using Monoclonal Antibodies1. Biology of Reproduction. 33(2). 527–536. 66 indexed citations
18.
19.
Saling, Patricia M., et al.. (1984). In vitro fertilization and embryo transfer, Duke University Medical Center. Journal of Assisted Reproduction and Genetics. 1(1). 82–83. 2 indexed citations
20.
Saling, Patricia M., William R. Eckberg, & Charles B. Metz. (1982). Mechanism of univalent antisperm antibody inhibition of fertilization in the sea urchin, Arbacia punctulata. Journal of Experimental Zoology. 221(1). 93–99. 15 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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