Patricia Bowman

18 total papers · 599 total citations
14 papers, 498 citations indexed

About

Patricia Bowman is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Patricia Bowman has authored 14 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Public Health, Environmental and Occupational Health and 5 papers in Genetics. Recurrent topics in Patricia Bowman's work include Reproductive Biology and Fertility (7 papers), Pluripotent Stem Cells Research (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers). Patricia Bowman is often cited by papers focused on Reproductive Biology and Fertility (7 papers), Pluripotent Stem Cells Research (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers). Patricia Bowman collaborates with scholars based in Italy, United Kingdom and United States. Patricia Bowman's co-authors include Anne McLaren, I. K. Gauld, Steven M. Schwartz, R. John Aitken, Doreen Pugh, R. C. Roberts, D. S. Falconer, Hans Grüneberg and B.M. Cattanach and has published in prestigious journals such as Nature, Development and Reproduction.

In The Last Decade

Patricia Bowman

14 papers receiving 464 citations

Author Peers

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

Author Last Decade Papers Cites
Patricia Bowman 290 258 161 96 73 14 498
Liliana Catherine Patiño 228 0.8× 291 1.1× 167 1.0× 70 0.7× 70 1.0× 21 528
Lisa C. Barcroft 395 1.4× 386 1.5× 118 0.7× 68 0.7× 58 0.8× 8 589
J Suzuki 299 1.0× 252 1.0× 169 1.0× 93 1.0× 29 0.4× 19 483
M. I. SHERMAN 409 1.4× 251 1.0× 203 1.3× 60 0.6× 95 1.3× 13 617
María Vera-Rodríguez 237 0.8× 231 0.9× 162 1.0× 385 4.0× 57 0.8× 14 562
Jiqing Yin 467 1.6× 194 0.8× 104 0.6× 60 0.6× 25 0.3× 20 581
Angus D. Macaulay 221 0.8× 333 1.3× 86 0.5× 48 0.5× 58 0.8× 17 473
Smita Sudheer 363 1.3× 140 0.5× 107 0.7× 47 0.5× 28 0.4× 12 461
Yixin Ren 482 1.7× 112 0.4× 93 0.6× 119 1.2× 57 0.8× 14 591
Diego Marín 290 1.0× 211 0.8× 150 0.9× 283 2.9× 32 0.4× 27 599

Countries citing papers authored by Patricia Bowman

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Bowman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Bowman

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Bowman. A scholar is included among the top collaborators of Patricia Bowman 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 Bowman. Patricia Bowman 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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