Junfeng Chu

659 citations
32 papers · 458 · h-index 12

Impact in

    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • CAR-T cell therapy research 2
    • Pancreatic and Hepatic Oncology Research 2
    • Peptidase Inhibition and Analysis 2
    • Cancer Immunotherapy and Biomarkers 2
    • Lymphoma Diagnosis and Treatment 9

Junfeng Chu

32 papers receiving 452 citations

Peers

Junfeng Chu
Comparison fields: 5 of 77
  • Oncology 174
  • Immunology 140
  • Cancer Research 49
  • Pathology and Forensic Medicine 57
  • Hematology 20
Replace Junya Ohtake with:
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Citations per field
00.5×1.5×1.9×
Junya Ohtake · 1×
Citations per year

Countries citing papers authored by Junfeng Chu

Since Specialization
Citations

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

Fields of papers citing papers by Junfeng Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022117
2 202153
3 201753
4 202040
5 202021
6 202219
7 202018
8 200917
9 202014
10 202513
11 201012
12 201711
13 202110
14 20209
15
[Effect of water extract of Poria on cytosolic free calcium concentration in brain nerve cells of neonatal rats].
19988
16 19888
17 20226
18 20184
19 20184
20 20193

About Junfeng Chu

Junfeng Chu is a scholar working on Oncology, Pathology and Forensic Medicine, Immunology, Surgery and Molecular Biology, having authored 32 papers that have together received 458 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Epigenetics and DNA Methylation (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Oncology (174 citations), Immunology (140 citations), Cancer Research (49 citations), Pathology and Forensic Medicine (57 citations) and Hematology (20 citations). Junfeng Chu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zheng Yan, Shuang Zhao, Zhihua Yao, Yanyan Liu, Meimei Yan, Fengcai Gao, Shuna Yao, Yanyan Liu, Qingxin Xia and Haiying Wang. Their work appears in journals such as Blood, Frontiers in Oncology, OncoTargets and Therapy, Cancer Medicine and Journal of Microbiology Immunology and Infection.

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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