Marsha Wilcox

72 total papers · 4.9k total citations
54 papers, 2.9k citations indexed

About

Marsha Wilcox is a scholar working on Genetics, Molecular Biology and Pharmacology. According to data from OpenAlex, Marsha Wilcox has authored 54 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 14 papers in Molecular Biology and 7 papers in Pharmacology. Recurrent topics in Marsha Wilcox's work include Genetic Associations and Epidemiology (19 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Marsha Wilcox is often cited by papers focused on Genetic Associations and Epidemiology (19 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Marsha Wilcox collaborates with scholars based in United States, Germany and Netherlands. Marsha Wilcox's co-authors include Hamid M. Abdolmaleky, Sam Thiagalingam, Dellara F. Terry, Ming T. Tsuang, Stephen V. Faraone, Thomas T. Perls, Deborah Blacker, Rahim Shafa, Kuang‐Hung Cheng and Stephen J. Glatt and has published in prestigious journals such as Nature Genetics, Blood and Biological Psychiatry.

In The Last Decade

Marsha Wilcox

53 papers receiving 2.8k citations

Hit Papers

Alpha-2 macroglobulin is ... 1998 2026 2007 2016 1998 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Marsha Wilcox 1.1k 810 617 349 301 54 2.9k
Dieter Rosskopf 1.6k 1.4× 506 0.6× 593 1.0× 425 1.2× 262 0.9× 87 4.4k
Michele L. Pergadia 733 0.7× 420 0.5× 833 1.4× 209 0.6× 364 1.2× 60 2.4k
Terry Reed 558 0.5× 745 0.9× 531 0.9× 419 1.2× 375 1.2× 79 3.9k
Katherine E. Tansey 649 0.6× 901 1.1× 331 0.5× 540 1.5× 277 0.9× 54 3.2k
Toni‐Kim Clarke 744 0.7× 776 1.0× 251 0.4× 205 0.6× 293 1.0× 70 2.7k
Renato Polimanti 1.2k 1.1× 1.0k 1.3× 535 0.9× 280 0.8× 500 1.7× 189 3.7k
Anthony L. Hinrichs 1.1k 1.0× 612 0.8× 853 1.4× 241 0.7× 276 0.9× 57 2.8k
Susan E. Shoaf 777 0.7× 378 0.5× 799 1.3× 440 1.3× 317 1.1× 81 3.8k
Iiris Hovatta 1.6k 1.5× 792 1.0× 1.2k 1.9× 408 1.2× 243 0.8× 92 4.6k
Steven Buyske 1.2k 1.1× 756 0.9× 195 0.3× 449 1.3× 441 1.5× 83 3.9k

Countries citing papers authored by Marsha Wilcox

Since Specialization
Citations

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

Fields of papers citing papers by Marsha Wilcox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marsha Wilcox

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

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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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