David Stivers

3.0k total citations
37 papers, 1.6k citations indexed

About

David Stivers is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, David Stivers has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Genetics and 6 papers in Pathology and Forensic Medicine. Recurrent topics in David Stivers's work include Molecular Biology Techniques and Applications (8 papers), Gene expression and cancer classification (7 papers) and Systemic Sclerosis and Related Diseases (5 papers). David Stivers is often cited by papers focused on Molecular Biology Techniques and Applications (8 papers), Gene expression and cancer classification (7 papers) and Systemic Sclerosis and Related Diseases (5 papers). David Stivers collaborates with scholars based in United States, Finland and Czechia. David Stivers's co-authors include Ranajit Chakraborty, Marek Kimmel, Ranjan Deka, Kenneth R. Hess, Yixi Zhong, Kevin R. Coombes, Keith Baggerly, Bruce Budowle, Frank C. Arnett and Filemon K. Tan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.

In The Last Decade

David Stivers

36 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Stivers United States 21 866 616 205 198 159 37 1.6k
Peter Little United Kingdom 27 1.6k 1.9× 666 1.1× 157 0.8× 79 0.4× 176 1.1× 77 2.2k
Tim F. Rayner United Kingdom 21 1.6k 1.9× 526 0.9× 294 1.4× 99 0.5× 236 1.5× 30 3.4k
Nicola J. Royle United Kingdom 26 1.6k 1.9× 811 1.3× 235 1.1× 157 0.8× 243 1.5× 54 2.6k
Andrew J. Holloway Australia 10 1.3k 1.5× 271 0.4× 293 1.4× 64 0.3× 176 1.1× 14 1.8k
Jeroen F. J. Laros Netherlands 21 1.2k 1.4× 772 1.3× 251 1.2× 114 0.6× 89 0.6× 48 1.9k
Jennifer Shoemaker United States 16 683 0.8× 254 0.4× 106 0.5× 173 0.9× 125 0.8× 19 1.3k
Amber E. Alsop Australia 19 982 1.1× 578 0.9× 140 0.7× 81 0.4× 235 1.5× 26 1.5k
Frank J. Calzone United States 23 1.6k 1.8× 567 0.9× 193 0.9× 104 0.5× 403 2.5× 43 2.1k
A. J. Jeffreys United Kingdom 17 697 0.8× 470 0.8× 160 0.8× 83 0.4× 99 0.6× 25 1.2k
L Hood United States 26 1.8k 2.1× 446 0.7× 140 0.7× 118 0.6× 231 1.5× 44 3.4k

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-authorship network of co-authors of David Stivers

This figure shows the co-authorship network connecting the top 25 collaborators of David Stivers. A scholar is included among the top collaborators of David Stivers 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 David Stivers. David Stivers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Broglio, Kristine, David Stivers, & Donald A. Berry. (2014). Predicting clinical trial results based on announcements of interim analyses. Trials. 15(1). 73–73. 6 indexed citations
3.
McCullough, Peter A., David Stivers, Louis Cannon, et al.. (2012). Neutrophil Gelatinase-Associated Lipocalin: A Novel Marker of Contrast Nephropathy Risk. American Journal of Nephrology. 35(6). 509–514. 22 indexed citations
4.
Zhou, Wei, Shan Shao, Connie C. Weng, et al.. (2011). Estrogen-Regulated Genes in Rat Testes and Their Relationship to Recovery of Spermatogenesis after Irradiation1. Biology of Reproduction. 85(4). 823–833. 18 indexed citations
5.
Zhou, Wei, Gunapala Shetty, Shan Shao, et al.. (2009). Changes in Gene Expression in Somatic Cells of Rat Testes Resulting from Hormonal Modulation and Radiation-Induced Germ Cell Depletion1. Biology of Reproduction. 82(1). 54–65. 19 indexed citations
6.
Akçakanat, Argun, et al.. (2009). RNA-binding specificity of Y-box protein 1. RNA Biology. 6(1). 59–64. 34 indexed citations
7.
Stivers, David. (2007). Witnessing the Invisible: Narrative Mediation in The Princess Casamassima. ˜The œHenry James review. 28(2). 159–173.
8.
Choi, Kuicheon, Chad J. Creighton, David Stivers, Nobukazu Fujimoto, & Jonathan M. Kurie. (2007). Transcriptional Profiling of Non-Small Cell Lung Cancer Cells with Activating EGFR Somatic Mutations. PLoS ONE. 2(11). e1226–e1226. 26 indexed citations
9.
Giri, Uma, Cheryl L. Ashorn, Latha Ramdas, et al.. (2005). Molecular signatures associated with clinical outcome in patients with high-risk head-and-neck squamous cell carcinoma treated by surgery and radiation. International Journal of Radiation Oncology*Biology*Physics. 64(3). 670–677. 25 indexed citations
10.
Du, Min, Roxanna A. Irani, David Stivers, Sang Joon Lee, & Elizabeth L. Travis. (2004). H2-EaDeficiency Is a Risk Factor for Bleomycin-Induced Lung Fibrosis in Mice. Cancer Research. 64(19). 6835–6839. 18 indexed citations
11.
Pusztai, Lajos, Mark Ayers, James Stec, et al.. (2003). 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.. PubMed. 9(7). 2406–15. 168 indexed citations
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Tan, Filemon K., David Stivers, Morris W. Foster, et al.. (1998). Association of microsatellite markers near the fibrillin 1 gene on human chromosome 15q with scleroderma in a Native American population. Arthritis & Rheumatism. 41(10). 1729–1737. 73 indexed citations
15.
Stivers, David & Ranajit Chakraborty. (1997). A Test of Allelic Independence Based on Distributions of Allele Size Differences at Microsatelnte Loci. Human Heredity. 47(2). 66–75. 1 indexed citations
16.
Chakraborty, Ranajit, et al.. (1997). Relative mutation rates at di-, tri-, and tetranucleotide microsatellite loci. Proceedings of the National Academy of Sciences. 94(3). 1041–1046. 347 indexed citations
17.
Chakraborty, Ranajit, David Stivers, & Yixi Zhong. (1996). Estimation of mutation rates from parentage exclusion data: applications to STR and VNTR loci. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 354(1). 41–48. 25 indexed citations
18.
Deka, Ranjan, Partha P. Majumder, Mark D. Shriver, et al.. (1996). Distribution and evolution of CTG repeats at the myotonin protein kinase gene in human populations.. Genome Research. 6(2). 142–154. 36 indexed citations
19.
Stivers, David, et al.. (1996). A discrete-time, multi-type generational inheritance branching process model of cell proliferation. Mathematical Biosciences. 137(1). 25–50. 7 indexed citations
20.
Kimmel, Marek & David Stivers. (1994). Time-continuous branching walk models of unstable gene amplification. Bulletin of Mathematical Biology. 56(2). 337–357. 16 indexed citations

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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