Darrell E. Hurt

52 papers receiving 3.8k citations

Darrell E. Hurt's Hit Papers

DBAASP v3: database of antimicrobial/cytotoxic activity and structure of peptides as a resource for development of new therapeutics 2020 · 487 citations
4870+5+10Years since publication2505007501000

Peers

Darrell E. Hurt
Comparison fields: 5 of 114
  • Microbiology 611
  • Cancer Research 599
  • Health Informatics 24
  • Endocrinology, Diabetes and Metabolism 146
  • Virology 39
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Adi Laurentiu Tarca United States
Douglas P. Clark United States
Torsten Goldmann Germany
Bernhard Knapp Germany
Kenshi Yamasaki Japan
John Doorbar United Kingdom
Kumardeep Chaudhary India
Emily D. Crawford United States
Ana Cecilia Rodríguez United States
Massimo Tommasino France
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Citations per year

Countries citing papers authored by Darrell E. Hurt

Since Specialization
Citations

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

Fields of papers citing papers by Darrell E. Hurt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darrell E. Hurt. 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 Darrell E. Hurt. The network helps show where Darrell E. Hurt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Noncoding RNA Gas5 Is a Growth Arrest– and Starvation-Associated Repressor of the Glucocorticoid Receptor
Hit paper breakdown →
20101071
2
DBAASP v3: database of antimicrobial/cytotoxic activity and structure of peptides as a resource for development of new therapeutics
Hit paper breakdown →
2020487
3 2009300
4 2015200
5 2009133
6 2017121
7 2016119
8 2012105
9 2017104
10 200697
11 202097
12 201093
13 201483
14 201473
15 201867
16 201955
17 201052
18 201850
19 201448
20 201643

About Darrell E. Hurt

Darrell E. Hurt is a scholar working on Microbiology, Infectious Diseases, Virology, Structural Biology and Information Systems and Management, having authored 56 papers that have together received 3.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (9 papers), Antimicrobial Peptides and Activities (8 papers), HIV Research and Treatment (3 papers), Malaria Research and Control (3 papers), Adrenal Hormones and Disorders (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Anatomy and Medical Technology (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Microbiology (611 citations), Cancer Research (599 citations), Health Informatics (24 citations), Endocrinology, Diabetes and Metabolism (146 citations) and Virology (39 citations). Darrell E. Hurt has collaborated with scholars based in United States, Greece and Uganda. Frequent co-authors include Tomoshige Kino, George Panagiotis Chrousos, Takamasa Ichijo, Alex Rosenthal, Andrei E. Gabrielian, Michael Tartakovsky, Boris Vishnepolsky, Malak Pirtskhalava, Thomas L. Leto and Takehiko Ueyama. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, PLoS ONE, Nucleic Acids Research, BMC Bioinformatics and Briefings in Bioinformatics.

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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