Jennifer E. Roy

1.0k citations
6 papers · 887 · h-index 6

Impact in

Papers in

Jennifer E. Roy

6 papers receiving 872 citations

Peers

Jennifer E. Roy
Comparison fields: 5 of 69
  • Genetics 225
  • Cancer Research 185
  • Oncology 248
  • Immunology 148
  • Aging 9
Replace I.-M. Shih with:
I.-M. Shih United States
Steve Perkins United States
Mickey P. Williams United States
Sherif Ibrahim United States
Joe Patoka United States
Carin Lassen Sweden
Jason Edward Levine United States
Shobha Castelino‐Prabhu United States
Caroline G. Humphries United States
Hong-Ji Xu United States
Jennifer E. Roy relative to I.-M. Shih United States I.-M. Shih's profile →
Citations per field
00.5×2×3×4×
I.-M. Shih · 1×
Citations per year

Countries citing papers authored by Jennifer E. Roy

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer E. Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Jennifer E. Roy, 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 Jennifer E. Roy Line = papers co-authored together Jennifer E. Roy links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2006372
2 2004212
3
Immunohistochemical survey of p16INK4A expression in normal human adult and infant tissues.
1999152
4 200190
5 201035
6 200126

About Jennifer E. Roy

Jennifer E. Roy is a scholar working on Physiology, Statistics, Probability and Uncertainty, Genetics, Cancer Research and Cell Biology, having authored 6 papers that have together received 887 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (1 paper), Glioma Diagnosis and Treatment (1 paper), Cancer Genomics and Diagnostics (1 paper), Tuberous Sclerosis Complex Research (1 paper), Clinical Laboratory Practices and Quality Control (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Meta-analysis and systematic reviews (1 paper) and Histiocytic Disorders and Treatments (1 paper). The work is most often cited by research in Genetics (225 citations), Cancer Research (185 citations), Oncology (248 citations), Immunology (148 citations) and Aging (9 citations). Jennifer E. Roy has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include David N. Louis, Anat O Stemmer-Rachamimov, James Shaw, Jim Koh, G. Petur Nielsen, Jean K. Stewart, Christine Unger, Leodevico L. Ilag, Daniel G. Jay and Brenda K. Eustace. Their work appears in journals such as American Journal Of Pathology, BMC Cancer, Advances in Anatomic Pathology, Cancer Research and Acta Neuropathologica.

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.

Explore authors with similar magnitude of impact