Ben X. Wang

1.1k citations
35 papers · 525 · h-index 9

Impact in

  • Immunology top 10%
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Cancer Immunotherapy and Biomarkers
    • Cytokine Signaling Pathways and Interactions
    • CAR-T cell therapy research

Papers in

    • Cancer Immunotherapy and Biomarkers 16
    • Pancreatic and Hepatic Oncology Research 6
    • CAR-T cell therapy research 5
    • Immune Cell Function and Interaction 7
    • interferon and immune responses 6
    • T-cell and B-cell Immunology 2

Ben X. Wang

33 papers receiving 518 citations

Peers

Ben X. Wang
Comparison fields: 5 of 70
  • Immunology 230
  • Oncology 168
  • Infectious Diseases 86
  • Obstetrics and Gynecology 29
  • Cancer Research 32
Replace Laura A. Vella with:
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Christopher Di Simone United States
Nannan Pang China
Luca Hensen Australia
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Kathrin Pieper Germany
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Citations per field
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Laura A. Vella · 1×
Citations per year

Countries citing papers authored by Ben X. Wang

Since Specialization
Citations

This map shows the geographic impact of Ben 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 Ben 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 Ben X. Wang more than expected).

Fields of papers citing papers by Ben X. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019107
2 201291
3 201167
4 201962
5 201933
6 202027
7 202225
8 202416
9 20238
10 20178
11 20208
12 20177
13 20177
14 20136
15 20246
16 20126
17 20215
18 20205
19 20225
20 20244

About Ben X. Wang

Ben X. Wang is a scholar working on Oncology, Immunology, Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 525 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (16 papers), Cancer Genomics and Diagnostics (9 papers), Immune Cell Function and Interaction (7 papers), interferon and immune responses (6 papers), Pancreatic and Hepatic Oncology Research (6 papers), CAR-T cell therapy research (5 papers), Sarcoma Diagnosis and Treatment (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (230 citations), Oncology (168 citations), Infectious Diseases (86 citations), Obstetrics and Gynecology (29 citations) and Cancer Research (32 citations). Ben X. Wang has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Eleanor N. Fish, Ramtin Rahbar, Pamela S. Ohashi, Linh T. Nguyen, Azin Sayad, Blaise Clarke, Sarah Q. Crome, Trevor J. Pugh, Patricia A. Shaw and Marcus Q. Bernardini. Their work appears in journals such as Journal of Clinical Oncology, Journal of Interferon & Cytokine Research, Trends in Immunology, Clinical Trials and Cancer Research.

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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