Eric J. Hsu

680 citations
18 papers · 487 · h-index 11

Impact in

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

Papers in

    • CAR-T cell therapy research 3
    • Cancer Immunotherapy and Biomarkers 2
    • Inflammatory Biomarkers in Disease Prognosis 1
    • Immunotherapy and Immune Responses 4

Eric J. Hsu

16 papers receiving 483 citations

Peers

Eric J. Hsu
Comparison fields: 5 of 67
  • Immunology 217
  • Oncology 222
  • Toxicology 10
  • Radiology, Nuclear Medicine and Imaging 53
  • Genetics 24
Replace Jeremy Griggs with:
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Eric J. Hsu relative to Jeremy Griggs United Kingdom Jeremy Griggs's profile →
Citations per field
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Jeremy Griggs · 1×
Citations per year

Countries citing papers authored by Eric J. Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric J. Hsu. 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 Eric J. Hsu. The network helps show where Eric J. Hsu may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202192
2 202168
3 202162
4 202256
5 202153
6 201935
7 201530
8 201726
9 201922
10 202213
11 202211
12 20237
13 20225
14 20173
15 20222
16 20162
17 20160
18 20230

About Eric J. Hsu

Eric J. Hsu is a scholar working on Oncology, Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Genetics, having authored 18 papers that have together received 487 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), CAR-T cell therapy research (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Mechanisms and Therapy (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Nanowire Synthesis and Applications (1 paper). The work is most often cited by research in Immunology (217 citations), Oncology (222 citations), Toxicology (10 citations), Radiology, Nuclear Medicine and Imaging (53 citations) and Genetics (24 citations). Eric J. Hsu has collaborated with scholars based in United States, Hungary and China. Frequent co-authors include Yang‐Xin Fu, Joonbeom Bae, Zhichen Sun, Xuezhi Cao, Zhida Liu, Huiyu Li, Hua Peng, Jian Qiao, Longchao Liu and Jiankun Zhu. Their work appears in journals such as Nature Communications, Cancer Research, Science Immunology, Circulation Arrhythmia and Electrophysiology and Frontiers in Neurology.

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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