Pam Siggers

27 total papers · 1.5k total citations
21 papers, 992 citations indexed

About

Pam Siggers is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Pam Siggers has authored 21 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 18 papers in Molecular Biology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Pam Siggers's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (18 papers), Sexual Differentiation and Disorders (8 papers) and Reproductive Biology and Fertility (5 papers). Pam Siggers is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (18 papers), Sexual Differentiation and Disorders (8 papers) and Reproductive Biology and Fertility (5 papers). Pam Siggers collaborates with scholars based in United Kingdom, United States and France. Pam Siggers's co-authors include Andy Greenfield, Debora Bogani, Ruth M. Arkell, Nick Warr, Sara Wells, Rachel Brixey, Daniel T. Grimes, Gwenn-Aël Carré, Lee B. Smith and Rachel Larder and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Development.

In The Last Decade

Pam Siggers

21 papers receiving 979 citations

Author Peers

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

Author						Papers	Cites
Pam Siggers	788	611	159	94	52	21	992
Valerie A. Arboleda	774 1.0×	517 0.8×	146 0.9×	174 1.9×	78 1.5×	38	1.1k
Mark Clement-Jones	591 0.8×	549 0.9×	131 0.8×	68 0.7×	36 0.7×	10	805
Hirofumi Mizusaki	644 0.8×	560 0.9×	228 1.4×	75 0.8×	26 0.5×	13	815
Florence Naillat	669 0.8×	313 0.5×	84 0.5×	181 1.9×	94 1.8×	23	836
Yangzhu Du	611 0.8×	367 0.6×	46 0.3×	55 0.6×	48 0.9×	20	978
M. C. Hors‐Cayla	604 0.8×	643 1.1×	67 0.4×	63 0.7×	25 0.5×	43	1.1k
Orietta Radi	607 0.8×	658 1.1×	228 1.4×	119 1.3×	83 1.6×	12	844
Guang‐Quan Zhao	590 0.7×	274 0.4×	279 1.8×	263 2.8×	31 0.6×	9	896
José Elías García‐Ortíz	440 0.6×	461 0.8×	182 1.1×	222 2.4×	17 0.3×	48	939
Jadwiga Jaruzelska	658 0.8×	472 0.8×	166 1.0×	122 1.3×	11 0.2×	43	972

Countries citing papers authored by Pam Siggers

Since Specialization

Citations

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

Fields of papers citing papers by Pam Siggers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pam Siggers

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