Victoria Shi

2.4k citations
23 papers · 1.1k indexed · 1 hit paper · h-index 12

Victoria Shi

22 papers receiving 1.1k citations

Hit Papers

T cells expressing an anti–B-cell maturation antigen chim...5962016202620192022100200300400500

Peers

Victoria Shi
Comparison fields: 5 of 58
  • Virology 233
  • Oncology 671
  • Hematology 200
  • Immunology 323
  • Infectious Diseases 190
Replace Martin Andreánsky with:
Martin Andreánsky United States
Aisha Hasan United States
F. Javier Guenaga United States
Xavier Saulquin France
Federico Simonetta Switzerland
Misako Yajima Japan
Brian H. Santich United States
Christian P. Kalberer Switzerland
Julius Juaréz Australia
Zachary Davis United States
Victoria Shi relative to Martin Andreánsky United States Martin Andreánsky's profile →
Citations per field
00.5×1.5×2.5×
Martin Andreánsky · 1×
Citations per year

Countries citing papers authored by Victoria Shi

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20248
2 20242
3 20240
4 20231
5 20232
6 2022100
7 20222
8 20221
9 202131
10 202118
11 20198
12 201928
13 20198
14 201866
15 201612
16 20162
17 201627
18
T cells expressing an anti–B-cell maturation antigen chimeric antigen receptor cause remissions of multiple myelomabreakdown →
2016596
19 201423
20 200737

About Victoria Shi

Victoria Shi is a scholar working on Virology, Infectious Diseases and Immunology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), CAR-T cell therapy research (8 papers), HIV/AIDS Research and Interventions (7 papers), HIV/AIDS drug development and treatment (7 papers), Immune Cell Function and Interaction (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Virology (233 citations), Oncology (671 citations) and Hematology (200 citations). Victoria Shi has collaborated with scholars based in United States, China and Japan. Frequent co-authors include James N. Kochenderfer, Steven A. Feldman, Jennifer N. Brudno, Brenna Hansen, Jeremy J. Rose, Ronald E. Gress, Michael Wang, Frances T. Hakim, David F. Stroncek and Maryalice Stetler‐Stevenson. Their work appears in journals such as The Journal of Infectious Diseases, Blood, Journal of Clinical Oncology, Journal of Clinical Investigation and Molecular Therapy.

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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