Steve Mitchell

19 papers receiving 1.1k citations

Peers

Steve Mitchell
Comparison fields: 5 of 134
  • Structural Biology 28
  • Health 165
  • General Health Professions 230
  • Genetics 250
  • Plant Science 211
Replace Xing Zhang with:
Xing Zhang China
Jennifer K. Wagner United States
Antentor Hinton United States
Kim Burns Australia
Rebecca A. Meseroll United States
Jessica Brown United States
Jennifer L. Collins United States
Esther Lee United States
Janice Lee United States
Steve Mitchell relative to Xing Zhang China Xing Zhang's profile →
Citations per field
00.5×3.5×
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Citations per year

Countries citing papers authored by Steve Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Steve Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Steve Mitchell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steve Mitchell Line = papers co-authored together Steve Mitchell links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1996142
2 2007129
3 2008118
4 1999115
5 199791
6 201180
7 199367
8 200461
9 201359
10 200056
11 200855
12 199549
13 199345
14 199733
15 200425
16 199510
17 20198
18 20137
19
Community-coordinated Research as HIV/AIDS Prevention Strategy in Northern Canadian Communities.
20086

About Steve Mitchell

Steve Mitchell is a scholar working on Molecular Biology, Genetics, General Health Professions, Sociology and Political Science and Plant Science, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sex work and related issues (4 papers), HIV/AIDS Research and Interventions (3 papers), Adolescent Sexual and Reproductive Health (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Intimate Partner and Family Violence (2 papers), Plant Reproductive Biology (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Categorization, perception, and language (1 paper). The work is most often cited by research in Structural Biology (28 citations), Health (165 citations), General Health Professions (230 citations), Genetics (250 citations) and Plant Science (211 citations). Steve Mitchell has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Neil Andersson, John K. Belknap, Melinda L. Helms, L. A. O’Toole, Ari Ho‐Foster, John C. Crabbe, Esca Scheepers, Anne Cockcroft, Susan Goldstein and James W. Pellegrino. Their work appears in journals such as Genomics, Journal of Experimental Psychology Human Perception & Performance, Biochemical and Biophysical Research Communications, Behavior Genetics and PLANT PHYSIOLOGY.

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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