Veronica Shi

458 citations
9 papers · 338 · h-index 6

Impact in

Papers in

    • Vascular Tumors and Angiosarcomas 2
    • Colorectal Cancer Treatments and Studies 1
    • Cancer Immunotherapy and Biomarkers 1
    • Cutaneous lymphoproliferative disorders research 2

Veronica Shi

8 papers receiving 333 citations

Peers

Veronica Shi
Comparison fields: 5 of 77
  • Periodontics 34
  • Dermatology 54
  • Oncology 165
  • Endocrine and Autonomic Systems 27
  • Virology 16
Replace Ashley R. Mason with:
Ashley R. Mason United States
Anette Karle Switzerland
Klaas Kooistra Netherlands
Kara L. Hamilton United States
Suzanne McElwaine United Kingdom
Sabine Klages Germany
Dennis Burian United States
Fabien Pitoiset France
Lawrence Rife United States
Veronica Shi relative to Ashley R. Mason United States Ashley R. Mason's profile →
Citations per field
00.5×10×13.5×
Ashley R. Mason · 1×
Citations per year

Countries citing papers authored by Veronica Shi

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2016177
2 201473
3 200731
4 201621
5 200921
6 201310
7 20154
8
Cyanosis of the foot.
20171
9 20240

About Veronica Shi

Veronica Shi is a scholar working on Oncology, Dermatology, Molecular Biology, Genetics and Cognitive Neuroscience, having authored 9 papers that have together received 338 indexed citations. Recurring topics across this work include Vascular Tumors and Angiosarcomas (2 papers), Cutaneous lymphoproliferative disorders research (2 papers), Dermatological and Skeletal Disorders (1 paper), Colorectal Cancer Treatments and Studies (1 paper), HIV Research and Treatment (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Mesenchymal stem cell research (1 paper) and Mathematical and Theoretical Epidemiology and Ecology Models (1 paper). The work is most often cited by research in Periodontics (34 citations), Dermatology (54 citations), Oncology (165 citations), Endocrine and Autonomic Systems (27 citations) and Virology (16 citations). Veronica Shi has collaborated with scholars based in United States and France. Frequent co-authors include Jennifer Choi, Michael Girardi, Scott Gettinger, Jonathan S. Leventhal, Nemanja Rodić, Marcus Bosenberg, Abdessamad Tridane, Yang Kuang, Edward Soucy and Joel Greenwood. Their work appears in journals such as JAMA Dermatology, PeerJ, Seminars in Oncology, Journal of Neuroscience and Journal of Theoretical Biology.

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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