Donna Prunkard

4.3k total citations · 2 hit papers
16 papers, 1.9k citations indexed

About

Donna Prunkard is a scholar working on Molecular Biology, Physiology and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Donna Prunkard has authored 16 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Physiology and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Donna Prunkard's work include Telomeres, Telomerase, and Senescence (5 papers), Algal biology and biofuel production (4 papers) and Photosynthetic Processes and Mechanisms (3 papers). Donna Prunkard is often cited by papers focused on Telomeres, Telomerase, and Senescence (5 papers), Algal biology and biofuel production (4 papers) and Photosynthetic Processes and Mechanisms (3 papers). Donna Prunkard collaborates with scholars based in United States, Australia and Denmark. Donna Prunkard's co-authors include G Lasser, Donald C. Foster, Thomas R. Bukowski, Joseph L. Kuijper, David S. Weigle, Daniel Porte, Randy J. Seeley, Stephen C. Woods, Denis G. Baskin and Michael W. Schwartz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Donna Prunkard

16 papers receiving 1.8k citations

Hit Papers

Specificity of Leptin Action on Elevated Blood Glucose Le... 1996 2026 2006 2016 1996 2017 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Specificity of Leptin Action on Elevated Blood Glucose Levels and Hypothalamic Neuropeptide Y Gene Expression in ob/ob Mice
    1996 733 citations Michael W. Schwartz, Denis G. Baskin et al. Diabetes profile →
  2. HLA-E-expressing pluripotent stem cells escape allogeneic responses and lysis by NK cells
    2017 446 citations Germán G. Gornalusse, Roli K. Hirata et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donna Prunkard United States 11 994 666 603 477 385 16 1.9k
Thomas R. Bukowski United States 12 993 1.0× 656 1.0× 520 0.9× 385 0.8× 392 1.0× 17 1.8k
Linda Yaswen United States 10 638 0.6× 452 0.7× 333 0.6× 412 0.9× 183 0.5× 10 1.4k
Yanru Chen China 13 1.3k 1.4× 986 1.5× 490 0.8× 489 1.0× 246 0.6× 49 2.1k
Adel A. Mikhail United States 15 593 0.6× 348 0.5× 308 0.5× 475 1.0× 431 1.1× 24 1.7k
Joseph A. Cioffi United States 13 489 0.5× 317 0.5× 250 0.4× 237 0.5× 348 0.9× 28 1.2k
Takashi Yashiro Japan 22 289 0.3× 121 0.2× 206 0.3× 759 1.6× 128 0.3× 105 1.9k
Michael J. Lombardi United States 9 152 0.2× 538 0.8× 400 0.7× 1.1k 2.3× 51 0.1× 11 2.4k
Machi Furuta Japan 19 206 0.2× 110 0.2× 210 0.3× 690 1.4× 87 0.2× 41 1.8k
Kimberly Rogers United States 17 198 0.2× 337 0.5× 241 0.4× 667 1.4× 26 0.1× 23 1.4k
Liat Rousso-Noori Israel 13 503 0.5× 33 0.0× 445 0.7× 385 0.8× 99 0.3× 15 1.5k

Countries citing papers authored by Donna Prunkard

Since Specialization
Citations

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

Fields of papers citing papers by Donna Prunkard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donna Prunkard

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

All Works

16 of 16 papers shown
1.
Prunkard, Donna, et al.. (2019). High-throughput screen for sorting cells capable of producing the biofuel feedstock botryococcene. Organic & Biomolecular Chemistry. 17(12). 3195–3201. 2 indexed citations
2.
Gornalusse, Germán G., Roli K. Hirata, Sarah E. Funk, et al.. (2017). HLA-E-expressing pluripotent stem cells escape allogeneic responses and lysis by NK cells. Nature Biotechnology. 35(8). 765–772. 446 indexed citations breakdown →
3.
Risques, Rosa Ana, et al.. (2017). Magellanic penguin telomeres do not shorten with age with increased reproductive effort, investment, and basal corticosterone. Ecology and Evolution. 7(15). 5682–5691. 23 indexed citations
4.
Risques, Rosa Ana, et al.. (2017). Telomeres shorten and then lengthen before fledging in Magellanic penguins (Spheniscus magellanicus). Aging. 9(2). 487–493. 10 indexed citations
5.
Risques, Rosa Ana, Donna Prunkard, Carol Giffen, et al.. (2016). Leukocyte telomere length in relation to the risk of Barrett's esophagus and esophageal adenocarcinoma. Cancer Medicine. 5(9). 2657–2665. 8 indexed citations
6.
Duggan, Catherine, Rosa Ana Risques, Catherine M. Alfano, et al.. (2014). Change in Peripheral Blood Leukocyte Telomere Length and Mortality in Breast Cancer Survivors. JNCI Journal of the National Cancer Institute. 106(4). dju035–dju035. 59 indexed citations
7.
Lin, Shih‐Wen, Christian C. Abnet, Neal D. Freedman, et al.. (2013). Measuring telomere length for the early detection of precursor lesions of esophageal squamous cell carcinoma. BMC Cancer. 13(1). 578–578. 7 indexed citations
8.
Ruiz, Christian, Elizabeth Lenkiewicz, Lisa Evers, et al.. (2011). Advancing a clinically relevant perspective of the clonal nature of cancer. Proceedings of the National Academy of Sciences. 108(29). 12054–12059. 90 indexed citations
9.
Prunkard, Donna, Ian Cottingham, Ian Garner, et al.. (1996). High-level expression of recombinant human fibrinogen in the milk of transgenic mice. Nature Biotechnology. 14(7). 867–871. 41 indexed citations
10.
Schwartz, Michael W., Denis G. Baskin, Thomas R. Bukowski, et al.. (1996). Specificity of Leptin Action on Elevated Blood Glucose Levels and Hypothalamic Neuropeptide Y Gene Expression in ob/ob Mice. Diabetes. 45(4). 531–535. 733 indexed citations breakdown →
11.
Weigle, David S., Thomas R. Bukowski, Donald C. Foster, et al.. (1995). Recombinant ob protein reduces feeding and body weight in the ob/ob mouse.. Journal of Clinical Investigation. 96(4). 2065–2070. 370 indexed citations
12.
Prunkard, Donna, Ian Garner, & Dallas Foster. (1994). Expression of recombinant human fibrinogen in the milk of transgenic mice. Fibrinolysis and Proteolysis. 8. 102–102. 2 indexed citations
13.
Busby, Stephen, Eileen R. Mulvihill, A. Ashok Kumar, et al.. (1991). Expression of recombinant human plasminogen in mammalian cells is augmented by suppression of plasmin activity. Journal of Biological Chemistry. 266(23). 15286–15292. 48 indexed citations
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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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