David Stivers

3.0k citations
42 papers · 1.7k · h-index 22

Impact in

  • Genetics top 5%
    • Genetic diversity and population structure
    • Forensic and Genetic Research
    • Breast Cancer Treatment Studies

Papers in

    • Molecular Biology Techniques and Applications 9
    • Gene expression and cancer classification 8
    • RNA modifications and cancer 3
    • Evolution and Genetic Dynamics 4
    • Forensic and Genetic Research 3

David Stivers

41 papers receiving 1.6k citations

Peers

David Stivers
Comparison fields: 5 of 126
  • Genetics 611
  • Cancer Research 189
  • Molecular Biology 837
  • Pathology and Forensic Medicine 197
  • Nephrology 37
Replace Alexey A. Leontovich with:
Alexey A. Leontovich United States
Maria Chikina United States
Ray Stefancsik United States
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Sarah L. Anzick United States
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Citations per field
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Citations per year

Countries citing papers authored by David Stivers

Since Specialization
Citations

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

Fields of papers citing papers by David Stivers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Stivers, 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 David Stivers Line = papers co-authored together David Stivers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997356
2
Gene expression profiles obtained from fine-needle aspirations of breast cancer reliably identify routine prognostic markers and reveal large-scale molecular differences between estrogen-negative and estrogen-positive tumors.
2003188
3 1999187
4 200189
5 200187
6 200285
7 199880
8 199663
9 200559
10 199642
11
Segregation distortion of the CTG repeats at the myotonic dystrophy locus.
199641
12 199637
13 200934
14 200032
15 200232
16 200531
17 199929
18 199627
19 200726
20 199425

About David Stivers

David Stivers is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Cancer Research and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (9 papers), Gene expression and cancer classification (8 papers), Systemic Sclerosis and Related Diseases (5 papers), Evolution and Genetic Dynamics (4 papers), Forensic and Genetic Research (3 papers), Genetic Neurodegenerative Diseases (3 papers), Breast Cancer Treatment Studies (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Genetics (611 citations), Cancer Research (189 citations), Molecular Biology (837 citations), Pathology and Forensic Medicine (197 citations) and Nephrology (37 citations). David Stivers has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include Ranajit Chakraborty, Marek Kimmel, Ranjan Deka, Kenneth R. Hess, Yixi Zhong, Kevin R. Coombes, Bruce Budowle, Keith Baggerly, Frank C. Arnett and Filemon K. Tan. Their work appears in journals such as Biology of Reproduction, Journal of Forensic Sciences, Cancer Research, Electrophoresis and Journal of Computational Biology.

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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