Kate J. Darby

15 total papers · 541 total citations
8 papers, 412 citations indexed

About

Kate J. Darby is a scholar working on Sociology and Political Science, Health, Toxicology and Mutagenesis and General Agricultural and Biological Sciences. According to data from OpenAlex, Kate J. Darby has authored 8 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 3 papers in Health, Toxicology and Mutagenesis and 2 papers in General Agricultural and Biological Sciences. Recurrent topics in Kate J. Darby's work include Environmental Justice and Health Disparities (3 papers), Urban Agriculture and Sustainability (2 papers) and Urban Green Space and Health (2 papers). Kate J. Darby is often cited by papers focused on Environmental Justice and Health Disparities (3 papers), Urban Agriculture and Sustainability (2 papers) and Urban Green Space and Health (2 papers). Kate J. Darby collaborates with scholars based in United States. Kate J. Darby's co-authors include Bethany B. Cutts, Christopher G. Boone, Alexandra Brewis, Bob Bolin, Timothy W. Collins, E. K. Larson, Mark W. Neff, Tischa A. Muñoz‐Erickson, Amber Wutich and Christopher L. Atchison and has published in prestigious journals such as SHILAP Revista de lepidopterología, Social Science & Medicine and Ecology and Society.

In The Last Decade

Kate J. Darby

8 papers receiving 382 citations

Author Peers

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

Author Last Decade Papers Cites
Kate J. Darby 197 161 108 106 49 8 412
Malo Hutson 175 0.9× 148 0.9× 51 0.5× 117 1.1× 57 1.2× 14 423
Na’Taki Osborne Jelks 165 0.8× 39 0.2× 94 0.9× 108 1.0× 23 0.5× 20 437
Pablo Navarrete-Hernández 162 0.8× 90 0.6× 96 0.9× 82 0.8× 30 0.6× 18 402
Jessica M. Keralis 98 0.5× 68 0.4× 65 0.6× 107 1.0× 23 0.5× 16 372
J. S. Horsley 235 1.2× 43 0.3× 137 1.3× 48 0.5× 18 0.4× 12 413
Amanda Rzotkiewicz 164 0.8× 105 0.7× 103 1.0× 32 0.3× 23 0.5× 11 385
Russell Lopez 117 0.6× 158 1.0× 46 0.4× 45 0.4× 114 2.3× 7 394
Jenna H. Tilt 224 1.1× 137 0.9× 140 1.3× 74 0.7× 28 0.6× 25 436
Wen Chen 269 1.4× 98 0.6× 172 1.6× 66 0.6× 67 1.4× 24 492
S. Scott Ogletree 277 1.4× 80 0.5× 101 0.9× 96 0.9× 14 0.3× 21 375

Countries citing papers authored by Kate J. Darby

Since Specialization
Citations

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

Fields of papers citing papers by Kate J. Darby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate J. Darby. 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 Kate J. Darby. The network helps show where Kate J. Darby may publish in the future.

Co-authorship network of co-authors of Kate J. Darby

This figure shows the co-authorship network connecting the top 25 collaborators of Kate J. Darby. A scholar is included among the top collaborators of Kate J. Darby 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 Kate J. Darby. Kate J. Darby 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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