Jake X. Wang

1.1k citations
11 papers · 571 · h-index 6

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Phagocytosis and Immune Regulation
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immunotherapy and Immune Responses 2
    • Immune cells in cancer 2
    • Cancer Immunotherapy and Biomarkers 2
    • CAR-T cell therapy research 2

Jake X. Wang

11 papers receiving 565 citations

Peers

Jake X. Wang
Comparison fields: 5 of 64
  • Immunology 284
  • Oncology 206
  • Immunology and Allergy 17
  • Molecular Biology 205
  • Cancer Research 33
Replace Grace Yang with:
Grace Yang United States
Trupti D. Vardam United States
Jiemiao Hu United States
Long V. Ly Netherlands
Karan Kohli United States
Aldo Ummarino Italy
Mei Su United States
Aaron T. Alpar United States
Giulia Chiaruttini United Kingdom
Xinwei Liu China
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Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Jake X. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jake X. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jake X. Wang. 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 Jake X. Wang. The network helps show where Jake X. Wang may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2016198
2 2017135
3 2018105
4 201156
5 201448
6 201914
7 20205
8 20174
9 20244
10 20211
11 20231

About Jake X. Wang

Jake X. Wang is a scholar working on Immunology, Oncology, Molecular Biology, Dermatology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 571 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immune cells in cancer (2 papers), CAR-T cell therapy research (2 papers), Facial Nerve Paralysis Treatment and Research (1 paper), Facial Rejuvenation and Surgery Techniques (1 paper), Renal and Vascular Pathologies (1 paper) and Vasculitis and related conditions (1 paper). The work is most often cited by research in Immunology (284 citations), Oncology (206 citations), Immunology and Allergy (17 citations), Molecular Biology (205 citations) and Cancer Research (33 citations). Jake X. Wang has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Marcus Bosenberg, William Damsky, Katrina Meeth, Goran Micevic, Susan M. Kaech, Curtis J. Perry, Durga Thakral, Kim Blenman, Pramod Bonde and Joshua R. Smith. Their work appears in journals such as Pigment Cell & Melanoma Research, The Journal of Experimental Medicine, Dermatologic Surgery, Proceedings of the National Academy of Sciences and The Annals of Thoracic Surgery.

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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