Jay D. Hunt

49 papers receiving 2.0k citations

Peers

Jay D. Hunt
Comparison fields: 5 of 111
  • Cancer Research 405
  • Oncology 632
  • Pulmonary and Respiratory Medicine 594
  • Molecular Biology 997
  • Pathology and Forensic Medicine 249
Replace Gerold Untergasser with:
Gerold Untergasser Austria
Saila Kauppila Finland
Damien Ambrosetti France
Xin‐Hai Pei United States
Norio Wake Japan
Angelica A. Saetta Greece
Takashi Kusakabe Japan
Chizu Tanikawa Japan
Jamila Laoukili Netherlands
Jin Eun Choi South Korea
Jay D. Hunt relative to Gerold Untergasser Austria Gerold Untergasser's profile →
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Citations per year

Countries citing papers authored by Jay D. Hunt

Since Specialization
Citations

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

Fields of papers citing papers by Jay D. Hunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay D. Hunt. 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 Jay D. Hunt. The network helps show where Jay D. Hunt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004342
2 2005207
3 1994149
4 1998124
5 2002101
6 199986
7 200679
8 199476
9 200461
10 202160
11
Prognostic value of specific KRAS mutations in lung adenocarcinomas.
199758
12 200448
13 199443
14 199943
15 199739
16
KRAS mutations predict progression of preneoplastic gastric lesions.
199938
17 199437
18 199034
19
Differences in KRAS mutation spectrum in lung cancer cases between African Americans and Caucasians after occupational or environmental exposure to known carcinogens.
200231
20 199630

About Jay D. Hunt

Jay D. Hunt is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Genetics, having authored 49 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Cancer Research and Treatments (5 papers), Virus-based gene therapy research (5 papers), DNA Repair Mechanisms (5 papers), Genetic factors in colorectal cancer (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Neuropeptides and Animal Physiology (4 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). The work is most often cited by research in Cancer Research (405 citations), Oncology (632 citations), Pulmonary and Respiratory Medicine (594 citations), Molecular Biology (997 citations) and Pathology and Forensic Medicine (249 citations). Jay D. Hunt has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Jill M. Siegfried, Paolo Boffetta, Olga L. van der Hel, Paul M. Brennan, Garnett P. McMillan, Dayanand Deo, Nicolás G. Bazán, Thomas W. Axelrad, María del Mar Alonso and Daniel Smith. Their work appears in journals such as Cancer, Journal of Biological Chemistry, Genes Chromosomes and Cancer, Biochemical Genetics and Lung Cancer.

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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