Dorian Willhite

1000 citations
8 papers · 786 · h-index 7

Impact in

Papers in

    • Gene expression and cancer classification 2
    • Lipid Membrane Structure and Behavior 1
    • RNA and protein synthesis mechanisms 1
    • Wnt/β-catenin signaling in development and cancer 1

Dorian Willhite

8 papers receiving 770 citations

Peers

Dorian Willhite
Comparison fields: 5 of 100
  • Sensory Systems 92
  • Cancer Research 122
  • Molecular Biology 455
  • Immunology and Allergy 33
  • Immunology 92
Replace Ken Hayashi with:
Ken Hayashi Japan
Steve Stippec United States
Hiroshi Ueda Japan
Patricia M. Clissold United Kingdom
Kristín Bergsteinsdóttir Iceland
Keerang Park South Korea
Jae Cheal Yoo South Korea
Anne-Sophie Dabert-Gay France
Svetlana Earnest United States
Noboru Takami Japan
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Citations per field
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Citations per year

Countries citing papers authored by Dorian Willhite

Since Specialization
Citations

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

Fields of papers citing papers by Dorian Willhite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2006264
2
Survival analysis of genome-wide gene expression profiles of prostate cancers identifies new prognostic targets of disease relapse.
2003191
3
Stanniocalcin 2 is an estrogen-responsive gene coexpressed with the estrogen receptor in human breast cancer.
2002129
4 200597
5
E-selectin up-regulation allows for targeted drug delivery in prostate cancer.
200354
6 200541
7 20096
8 20144

About Dorian Willhite

Dorian Willhite is a scholar working on Molecular Biology, Immunology, Pharmacology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 8 papers that have together received 786 indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Medicinal Plant Pharmacodynamics Research (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Prostate Cancer Treatment and Research (1 paper), Insect and Arachnid Ecology and Behavior (1 paper), Lipid Membrane Structure and Behavior (1 paper), RNA and protein synthesis mechanisms (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Sensory Systems (92 citations), Cancer Research (122 citations), Molecular Biology (455 citations), Immunology and Allergy (33 citations) and Immunology (92 citations). Dorian Willhite has collaborated with scholars based in United States, Australia and Mexico. Frequent co-authors include Peter Hevezi, Albert Zlotnik, Jerry Lee, Sandra Lechner, Alan C. Foster, Richard B. Roth, Anikó Hevér, Daniel Afar, Susan M. Henshall and Robert L. Sutherland. Their work appears in journals such as Yeast, The FASEB Journal, Neurogenetics, Journal of Neuroimmunology and Biochemistry and Molecular Biology Education.

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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