Judith Weisz

143 total papers · 6.4k total citations
114 papers, 5.0k citations indexed

About

Judith Weisz is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Judith Weisz has authored 114 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 36 papers in Endocrinology, Diabetes and Metabolism and 36 papers in Genetics. Recurrent topics in Judith Weisz's work include Estrogen and related hormone effects (35 papers), Hormonal and reproductive studies (18 papers) and Ovarian function and disorders (12 papers). Judith Weisz is often cited by papers focused on Estrogen and related hormone effects (35 papers), Hormonal and reproductive studies (18 papers) and Ovarian function and disorders (12 papers). Judith Weisz collaborates with scholars based in United States, United Kingdom and Chile. Judith Weisz's co-authors include Ingeborg L. Ward, Charles W. Lloyd, T Lloyd, Cyrus R. Creveling, Roscoe M. Hersey, Richard M. Weinshilboum, Rebecca B. Raftogianis, Debra A. Shearer, Barbara Brown and Joanne M. Orth and has published in prestigious journals such as Science, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Judith Weisz

111 papers receiving 4.8k citations

Hit Papers

Plasma Testosterone and P... 1980 2026 1995 2010 1980 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Judith Weisz 1.4k 1.4k 1.0k 975 942 114 5.0k
Philippe Lière 872 0.6× 1.3k 0.9× 425 0.4× 419 0.4× 800 0.8× 79 4.6k
Virendra B. Mahesh 1.7k 1.2× 1.6k 1.2× 845 0.8× 2.8k 2.8× 807 0.9× 201 7.7k
Richard I. Weiner 1.1k 0.8× 3.0k 2.2× 955 0.9× 2.1k 2.2× 649 0.7× 125 7.4k
John C. Porter 712 0.5× 1.5k 1.1× 966 0.9× 2.3k 2.3× 1.2k 1.3× 177 7.5k
Louise M. Bilezikjian 840 0.6× 3.0k 2.1× 1.1k 1.1× 696 0.7× 2.5k 2.6× 62 7.3k
James M. Schaeffer 1.3k 0.9× 2.3k 1.7× 522 0.5× 502 0.5× 429 0.5× 108 7.0k
Jimmy D. Neill 1.5k 1.0× 1.6k 1.2× 1.3k 1.2× 3.4k 3.5× 865 0.9× 110 7.5k
Theodore J. Brown 1.4k 1.0× 2.2k 1.6× 601 0.6× 1.2k 1.2× 754 0.8× 136 7.7k
James L. Roberts 1.4k 1.0× 3.3k 2.4× 991 1.0× 2.3k 2.4× 1.5k 1.6× 188 10.7k
Andrew N. Margioris 505 0.4× 1.8k 1.3× 594 0.6× 778 0.8× 1.7k 1.9× 145 7.5k

Countries citing papers authored by Judith Weisz

Since Specialization
Citations

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

Fields of papers citing papers by Judith Weisz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judith Weisz. 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 Judith Weisz. The network helps show where Judith Weisz may publish in the future.

Co-authorship network of co-authors of Judith Weisz

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

All Works

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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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