Wenda Gao

18.7k citations
95 papers · 15.1k indexed · 5 hit papers · h-index 40

Wenda Gao

92 papers receiving 14.9k citations

Hit Papers

IL-4 inhibits TGF-β-induced Foxp3+ T cells and, together ...859200620262012201910002.0k3.0k4.0k5.0k

Peers

Wenda Gao
Comparison fields: 5 of 124
  • Immunology 10.7k
  • Physiology 1.2k
  • Transplantation 343
  • Oncology 2.6k
  • Dermatology 696
Replace Troy D. Randall with:
Troy D. Randall United States
Jonathan D. Powell United States
Mohamed Oukka United States
Jochen Huehn Germany
Thomas Giese Germany
Maria Grazia Roncarolo Italy
Shohei Hori Japan
Frances E. Lund United States
Norma P. Gerard United States
Cees van Kooten Netherlands
Wenda Gao relative to Troy D. Randall United States Troy D. Randall's profile →
Citations per field
00.5×3.2×
Troy D. Randall · 1×
Citations per year

Countries citing papers authored by Wenda Gao

Since Specialization
Citations

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

Fields of papers citing papers by Wenda Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20235
4 20193
5 20131
6 20091
7 20091
8 20090
9 200873
10 200852
11 200711
12 200751
13
Adenosine generation catalyzed by CD39 and CD73 expressed on regulatory T cells mediates immune suppressionbreakdown →
20071837
14 2007138
15
IL-21 initiates an alternative pathway to induce proinflammatory TH17 cellsbreakdown →
20071491
16
Protection of mammalian cells from severe acute respiratory syndrome coronavirus infection by equine neutralizing antibody
20051
17 20036
18 200319
19 200222
20
Isolation and Characterization of Protein-Biosynthesis Inhibiting Proteins from Seeds of Luffa cylindrica
19947

About Wenda Gao

Wenda Gao is a scholar working on Immunology, Physiology and Transplantation, having authored 95 papers that have together received 15.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (36 papers), T-cell and B-cell Immunology (32 papers), Immunotherapy and Immune Responses (15 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Research on Leishmaniasis Studies (8 papers), Adenosine and Purinergic Signaling (7 papers), Toxin Mechanisms and Immunotoxins (7 papers) and Psoriasis: Treatment and Pathogenesis (6 papers). The work is most often cited by research in Immunology (10.7k citations), Physiology (1.2k citations) and Transplantation (343 citations). Wenda Gao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Terry B. Strom, Mohamed Oukka, Vijay K. Kuchroo, Thomas Korn, Estelle Bettelli, Howard L. Weiner, Yijun Carrier, Amit Awasthi, Estelle Bettelli and Simon C. Robson. Their work appears in journals such as Nature, Journal of Clinical Investigation and Nature Medicine.

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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