J.M. Trent

24 papers receiving 9.4k citations

Hit Papers

Expression profiling using cDNA microarrays 1999 · 1.2k citations
1.2k19932026200420152.0k4.0k6.0k

Peers

J.M. Trent
Comparison fields: 5 of 137
  • Oncology 5.5k
  • Biotechnology 1.1k
  • Cancer Research 1.6k
  • Molecular Biology 7.0k
  • Cell Biology 701
Replace Donna L. George with:
Donna L. George United States
Bert Vogelstein United States
Todd Waldman United States
Tim Crook United Kingdom
Lyubomir T. Vassilev United States
Ygal Haupt Australia
Galina Selivanova Sweden
Emma Lees United States
Thierry Soussi France
Michael G. Brattain United States
J.M. Trent relative to Donna L. George United States Donna L. George's profile →
Citations per field
00.5×1.5×
Donna L. George · 1×
Citations per year

Countries citing papers authored by J.M. Trent

Since Specialization
Citations

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

Fields of papers citing papers by J.M. Trent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. Trent. 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 J.M. Trent. The network helps show where J.M. Trent may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2006165
2 200141
3
Detection of gene amplification by genomic hybridization to cDNA microarrays.
200074
4 20009
5 199923
6
Expression profiling using cDNA microarrays
Hit paper breakdown →
19991188
7 19970
8 199613
9 199618
10 19957
11
WAF1, a potential mediator of p53 tumor suppression
Hit paper breakdown →
19937234
12 199310
13 199254
14 1990214
15 19893
16 19891
17 1988206
18 198734
19 19875
20 198516

About J.M. Trent

J.M. Trent is a scholar working on Oncology, Toxicology, Genetics, Cancer Research and Molecular Biology, having authored 25 papers that have together received 9.6k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (6 papers), Molecular Biology Techniques and Applications (4 papers), Cancer Genomics and Diagnostics (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Genomics and Chromatin Dynamics (3 papers), Chromosomal and Genetic Variations (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Oncology (5.5k citations), Biotechnology (1.1k citations), Cancer Research (1.6k citations), Molecular Biology (7.0k citations) and Cell Biology (701 citations). J.M. Trent has collaborated with scholars based in United States. Frequent co-authors include K W Kinzler, Bert Vogelstein, Daniel B. Levy, Takashi Tokino, Wafik S. El‐Deiry, David Pei‐Cheng Lin, Ramon Parsons, Victor E. Velculescu, W E Mercer and Michael Bittner. Their work appears in journals such as Cytogenetic and Genome Research, Genomics, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, Nature Genetics and International Journal of Radiation Oncology*Biology*Physics.

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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