Jennifer D. Wu

8.6k citations
77 papers · 6.2k indexed · 3 hit papers · h-index 38
Topics
Immune Cell Function and Interaction (40 papers)CAR-T cell therapy research (19 papers)T-cell and B-cell Immunology (19 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Jennifer D. Wu

76 papers receiving 6.1k citations

Hit Papers

Tumour-derived soluble MIC ligands impair expression of N...20022026201020182002202120164008001.2k

Peers

Jennifer D. Wu
Comparison fields: 5 of 127
  • Immunology 3.8k
  • Oncology 2.6k
  • Molecular Biology 1.5k
  • Pulmonary and Respiratory Medicine 631
  • Cancer Research 596
Replace Kenneth A. Frauwirth with:
Kenneth A. Frauwirth United States
Mario Mellado Spain
Jo A. Van Ginderachter Belgium
Yongzhi Cui United States
Jonathan D. Curtis United States
Nicholas D. Huntington Australia
Larry Kane United States
Paolo Serafini United States
Daniel F. Legler Switzerland
Ilaria Marigo Italy
Jennifer D. Wu relative to Kenneth A. Frauwirth United States Kenneth A. Frauwirth's profile →
Citations per field
00.5×4.7×
Kenneth A. Frauwirth · 1×
Citations per year

Countries citing papers authored by Jennifer D. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer D. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer D. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer D. Wu. A scholar is included among the top collaborators of Jennifer D. 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 Jennifer D. Wu. Jennifer D. 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 2
2 4
3 4
4 2
5 6
6 4
7 65
8 12
9 25
10 118
11 180
12 26
13 59
14 39
15 11
16 97
17 113
18 14
19 117
20
Tumour-derived soluble MIC ligands impair expression of NKG2D and T-cell activationbreakdown →
1268

About Jennifer D. Wu

Jennifer D. Wu is a scholar working on Immunology, Physiology and Oncology, having authored 77 papers that have together received 6.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (40 papers), CAR-T cell therapy research (19 papers) and T-cell and B-cell Immunology (19 papers). The work is most often cited by research in Immunology (3.8k citations), Oncology (2.6k citations) and Cancer Research (596 citations). Jennifer D. Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Thomas A. Spies, Veronika Groh, Cassian Yee, Stephen R. Plymate, Derek A. Wainwright, Kathy Haugk, Payal Dhar, David Cosman, Sizhe Liu and Alexander Steinle. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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