Ju Yang

9.6k citations
66 papers · 1.7k · 1 hit paper · h-index 17

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

Ju Yang

65 papers receiving 1.7k citations

Ju Yang's Hit Papers

Targeting VEGF/VEGFR to Modulate Antitumor Immunity 2018 · 483 citations
4830+2+5Years since publication100200300400

Peers

Ju Yang
Comparison fields: 5 of 116
  • Oncology 640
  • Immunology 474
  • Cancer Research 150
  • Hepatology 54
  • Molecular Biology 511
Replace Hong Peng with:
Hong Peng China
Eduardo Castañón Spain
Yung‐Chang Lin Taiwan
Jinke Li China
Alessandra Mancino Italy
Eliana Bignotti Italy
Kyohei Nakamura Australia
Rizwan Masood United States
Nikolaos Svoronos United States
Ju Yang relative to Hong Peng China Hong Peng's profile →
Citations per field
00.5×1.5×1.9×
Hong Peng · 1×
Citations per year

Countries citing papers authored by Ju Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ju Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Targeting VEGF/VEGFR to Modulate Antitumor Immunity
Hit paper breakdown →
2018483
2 2019176
3 2012113
4 201996
5 201385
6 200981
7 202279
8 202076
9 198574
10 201751
11 201045
12 201139
13 201926
14 202223
15 201822
16 201118
17 201816
18 200615
19 202113
20 202413

About Ju Yang

Ju Yang is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Molecular Biology and Immunology, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (6 papers), Immunotherapy and Immune Responses (5 papers), Gastric Cancer Management and Outcomes (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Lung Cancer Diagnosis and Treatment (4 papers), Esophageal Cancer Research and Treatment (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Oncology (640 citations), Immunology (474 citations), Cancer Research (150 citations), Hepatology (54 citations) and Molecular Biology (511 citations). Ju Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Baorui Liu, Jing Yan, Francis Lau, Mary Lesperance, Fanyan Meng, Michael Downing, Jia Wei, Fangjun Chen, Steven R. Bauer and Xiaotong Chen. Their work appears in journals such as Journal of Pain and Symptom Management, BMC Infectious Diseases, Nature Communications, Translational Oncology and Journal of Clinical Oncology.

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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