Jessica Bardill

24 total papers · 819 total citations
9 papers, 384 citations indexed

About

Jessica Bardill is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Paleontology. According to data from OpenAlex, Jessica Bardill has authored 9 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Paleontology. Recurrent topics in Jessica Bardill's work include Race, Genetics, and Society (5 papers), Forensic and Genetic Research (4 papers) and Archaeology and ancient environmental studies (3 papers). Jessica Bardill is often cited by papers focused on Race, Genetics, and Society (5 papers), Forensic and Genetic Research (4 papers) and Archaeology and ancient environmental studies (3 papers). Jessica Bardill collaborates with scholars based in United States and Canada. Jessica Bardill's co-authors include Deborah A. Bolnick, Alyssa C. Bader, Nanibaa’ A. Garrison, Ripan S. Malhi, Jennifer Raff, Keolu Fox, Katrina G. Claw, Joseph Yracheta, Matthew Z. Anderson and Kim TallBear and has published in prestigious journals such as Science, Nature Communications and Annual Review of Anthropology.

In The Last Decade

Jessica Bardill

9 papers receiving 362 citations

Hit Papers

A framework for enhancing... 2018 2026 2020 2023 2018 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Jessica Bardill 202 121 74 55 51 9 384
Alyssa C. Bader 238 1.2× 138 1.1× 87 1.2× 71 1.3× 50 1.0× 16 440
Dean Bobo 250 1.2× 25 0.2× 100 1.4× 27 0.5× 10 0.2× 10 399
Louise Loe 105 0.5× 22 0.2× 75 1.0× 133 2.4× 21 0.4× 12 352
Paul T. Baker 185 0.9× 33 0.3× 13 0.2× 27 0.5× 42 0.8× 16 436
S. O. Y. Keita 209 1.0× 25 0.2× 26 0.4× 153 2.8× 15 0.3× 27 386
Ingrid Wiechmann 267 1.3× 99 0.8× 112 1.5× 139 2.5× 6 0.1× 15 430
Yi Wang 171 0.8× 37 0.3× 85 1.1× 52 0.9× 30 0.6× 17 364
Roberta de Souza 34 0.2× 29 0.2× 20 0.3× 28 0.5× 35 0.7× 14 382
Marshall T. Newman 93 0.5× 30 0.2× 8 0.1× 98 1.8× 31 0.6× 27 383
Shyamalika Gopalan 233 1.2× 19 0.2× 140 1.9× 23 0.4× 6 0.1× 16 420

Countries citing papers authored by Jessica Bardill

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Bardill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Bardill

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