Jenny Wu

2.6k citations
38 papers · 1.4k indexed · 1 hit paper · h-index 15
Topics
Endometriosis Research and Treatment (4 papers)Chronic Lymphocytic Leukemia Research (3 papers)PI3K/AKT/mTOR signaling in cancer (3 papers)

In The Last Decade

Jenny Wu

37 papers receiving 1.4k citations

Hit Papers

Interactions between PD-1 and PD-L1 promote tolerance by ...20092026201420202009100200300400500

Peers

Jenny Wu
Comparison fields: 5 of 91
  • Oncology 623
  • Immunology 582
  • Genetics 206
  • Molecular Biology 198
  • Pathology and Forensic Medicine 172
Replace Ronit Yerushalmi with:
Ronit Yerushalmi Israel
Manuel Rodrigues France
Ronald P. Pelletier United States
Amy M. Lehman United States
Rosario García‐Vicuña Spain
Shiann‐Tarng Jou Taiwan
F Deméocq France
Katy K. Tsai United States
Iuliana Shapira United States
Kjell Bergfeldt Sweden
Jenny Wu relative to Ronit Yerushalmi Israel Ronit Yerushalmi's profile →
Citations per field
00.5×1.5×
Ronit Yerushalmi · 1×
Citations per year

Countries citing papers authored by Jenny Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jenny Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jenny Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jenny Wu. A scholar is included among the top collaborators of Jenny Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jenny Wu. Jenny Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 1
5 7
6 1
7 3
8 1
9 4
10 6
11 20
12 4
13 22
14 61
15 4
16 61
17 33
18 52
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Interactions between PD-1 and PD-L1 promote tolerance by blocking the TCR–induced stop signalbreakdown →
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About Jenny Wu

Jenny Wu is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Oncology, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Immunology (582 citations), Oncology (623 citations) and Genetics (206 citations). Jenny Wu has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Brian T. Fife, Jeffrey A. Bluestone, Qizhi Tang, Kristen E. Pauken, Todd N. Eagar, Matthew F. Krummel, Miyuki Azuma, Haley Moss, Samantha Kaplan and Jonas J. Swartz. Their work appears in journals such as Journal of Clinical Oncology, Blood and Nature Immunology.

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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