Tracy Stockley

5.5k citations
136 papers · 2.5k indexed · 1 hit paper · h-index 24

Tracy Stockley

121 papers receiving 2.5k citations

Hit Papers

Molecular profiling for precision cancer therapies5432020202620222024100200300400500

Peers

Tracy Stockley
Comparison fields: 5 of 120
  • Cancer Research 781
  • Sensory Systems 159
  • Pathology and Forensic Medicine 362
  • Oncology 549
  • Genetics 481
Replace Jonathan S. T. Sham with:
Jonathan S. T. Sham Hong Kong
Steven E. Scherer United States
Ichiro Ota Japan
Martin C. Chang Canada
Johannes Schlöndorff United States
Edward V. Ball United Kingdom
Andrew D. Phillips United Kingdom
Benjamin B. Roa United States
Takashi Shimano Japan
Lionel M.L. Chow United States
Tracy Stockley relative to Jonathan S. T. Sham Hong Kong Jonathan S. T. Sham's profile →
Citations per field
00.5×4.5×
Jonathan S. T. Sham · 1×
Citations per year

Countries citing papers authored by Tracy Stockley

Since Specialization
Citations

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

Fields of papers citing papers by Tracy Stockley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20243
5 20236
6 20231
7 20233
8 202220
9 202211
10 20220
11 20200
12 201914
13 20180
14 2018100
15 201723
16 20143
17 2007133
18 200715
19 200628
20 200528

About Tracy Stockley

Tracy Stockley is a scholar working on Cancer Research, Sensory Systems and Reproductive Medicine, having authored 136 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (52 papers), Lung Cancer Treatments and Mutations (28 papers), BRCA gene mutations in cancer (16 papers), Genetic factors in colorectal cancer (16 papers), Colorectal Cancer Treatments and Studies (14 papers), Ovarian cancer diagnosis and treatment (14 papers), Genomics and Rare Diseases (10 papers) and Hearing, Cochlea, Tinnitus, Genetics (9 papers). The work is most often cited by research in Cancer Research (781 citations), Sensory Systems (159 citations) and Pathology and Forensic Medicine (362 citations). Tracy Stockley has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Lillian L. Siu, Peter Sabatini, Eoghan Ruadh Malone, Marc Oliva, Joe T.R. Clarke, Suzanne Kamel‐Reid, Gustavo Maegawa, Fernando Kok, Don J. Mahuran and Michael B. Tropak. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

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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