Tracy Warr

770 citations
27 papers · 492 · h-index 13

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics

Papers in

    • Epigenetics and DNA Methylation 6
    • Chromatin Remodeling and Cancer 4
    • Histone Deacetylase Inhibitors Research 3
    • RNA modifications and cancer 3
    • Glioma Diagnosis and Treatment 10
    • Genomic variations and chromosomal abnormalities 5

Tracy Warr

27 papers receiving 489 citations

Peers

Tracy Warr
Comparison fields: 5 of 82
  • Genetics 166
  • Cancer Research 112
  • Molecular Biology 268
  • Oncology 94
  • Neurology 45
Replace Elena Casanova with:
Elena Casanova Italy
Jose L. Gallardo United States
Alan K. Ikeda United States
Ugo Consoli United States
Wanjiru Muriithi Brazil
Steffen Dietz Germany
Brian A. Staton United States
Lina Happo Australia
Krysta Schlis United States
Kyle A. Edgar United States
Tracy Warr relative to Elena Casanova Italy Elena Casanova's profile →
Citations per field
00.5×3.8×
Elena Casanova · 1×
Citations per year

Countries citing papers authored by Tracy Warr

Since Specialization
Citations

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

Fields of papers citing papers by Tracy Warr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200161
2 200545
3 202140
4 200832
5 201332
6 201331
7 200831
8 200129
9 201525
10 201423
11 201322
12 201715
13 201213
14 201412
15 201912
16 201211
17 201310
18 20229
19 20099
20 20109

About Tracy Warr

Tracy Warr is a scholar working on Molecular Biology, Genetics, Cancer Research, Genetics and Oncology, having authored 27 papers that have together received 492 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Epigenetics and DNA Methylation (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Genomic variations and chromosomal abnormalities (5 papers), Chromatin Remodeling and Cancer (4 papers), Microtubule and mitosis dynamics (3 papers), Histone Deacetylase Inhibitors Research (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Genetics (166 citations), Cancer Research (112 citations), Molecular Biology (268 citations), Oncology (94 citations) and Neurology (45 citations). Tracy Warr has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include John L. Darling, William Harkness, D. G. T. Thomas, Brian Harding, Richard Hayward, Dominic Thompson, Samantha Ward, P. Wilkins, Timothy J. Snape and Kim Phipps. Their work appears in journals such as Neuro-Oncology, Genes Chromosomes and Cancer, Bioorganic & Medicinal Chemistry Letters, Molecular Carcinogenesis and Neoplasia.

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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