Benjamin Wu

1.7k citations
62 papers · 1.2k indexed · h-index 20

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Biosimilars and Bioanalytical Methods

Papers in

    • Cancer Immunotherapy and Biomarkers 15
    • HER2/EGFR in Cancer Research 10
    • Cancer Treatment and Pharmacology 7
    • CAR-T cell therapy research 7

Benjamin Wu

60 papers receiving 1.2k citations

Peers

Benjamin Wu
Comparison fields: 5 of 92
  • Oncology 567
  • Immunology 397
  • Radiology, Nuclear Medicine and Imaging 285
  • Cancer Research 145
  • Hepatology 68
Replace Jon Holmlund with:
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Ruggero Dittadi Italy
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Benjamin Wu relative to Jon Holmlund United States Jon Holmlund's profile →
Citations per field
00.5×3.6×
Jon Holmlund · 1×
Citations per year

Countries citing papers authored by Benjamin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020188
2 2016157
3 201962
4 201360
5 201556
6 200447
7 201545
8 202139
9 201936
10 202030
11
[Effect of acupuncture on interleukin-2 level and NK cell immunoactivity of peripheral blood of malignant tumor patients].
199429
12 200427
13 202124
14 202124
15 201322
16 201621
17 201821
18 201720
19 201019
20 202119

About Benjamin Wu

Benjamin Wu is a scholar working on Oncology, Nephrology, Immunology, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (17 papers), Cancer Immunotherapy and Biomarkers (15 papers), Biosimilars and Bioanalytical Methods (12 papers), HER2/EGFR in Cancer Research (10 papers), Cancer Treatment and Pharmacology (7 papers), CAR-T cell therapy research (7 papers), Angiogenesis and VEGF in Cancer (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). The work is most often cited by research in Oncology (567 citations), Immunology (397 citations), Radiology, Nuclear Medicine and Imaging (285 citations), Cancer Research (145 citations) and Hepatology (68 citations). Benjamin Wu has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Min Zhu, Sandhya Girish, René Bruno, Andreas Wolf, Colby S. Shemesh, Andrew Chow, Jessica Johnson, Ben‐Quan Shen, Patrick Twomey and Christian Brandl. Their work appears in journals such as Journal of Clinical Oncology, Clinical Pharmacology & Therapeutics, Clinical and Translational Science, CPT Pharmacometrics & Systems Pharmacology and Cancer Chemotherapy and Pharmacology.

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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