Yinjun He

438 total citations · 1 hit paper
9 papers, 300 citations indexed

About

Yinjun He is a scholar working on Oncology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Yinjun He has authored 9 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 4 papers in Pathology and Forensic Medicine and 4 papers in Immunology. Recurrent topics in Yinjun He's work include Cancer Immunotherapy and Biomarkers (6 papers), Colorectal Cancer Treatments and Studies (4 papers) and CAR-T cell therapy research (2 papers). Yinjun He is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), Colorectal Cancer Treatments and Studies (4 papers) and CAR-T cell therapy research (2 papers). Yinjun He collaborates with scholars based in China, Taiwan and United States. Yinjun He's co-authors include Weiqin Jiang, Weixiang Zhong, Xile Zhou, Guosheng Wu, Wenguang He, Hanju Hua, Yongfeng Ding, Yimin Lu, Lu Qi and Ye Feng and has published in prestigious journals such as Frontiers in Immunology, Cancer and Metastasis Reviews and Immunology.

In The Last Decade

Yinjun He

8 papers receiving 298 citations

Hit Papers

Exhausted CD8+T Cells in the Tumor Immune Microenvironmen... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yinjun He China 6 204 154 93 41 35 9 300
Natalia Suárez Spain 7 180 0.9× 186 1.2× 72 0.8× 46 1.1× 34 1.0× 11 314
Kemal Catakovic Austria 6 198 1.0× 189 1.2× 95 1.0× 24 0.6× 28 0.8× 7 349
Sandra García‐Mulero Spain 10 110 0.5× 114 0.7× 127 1.4× 45 1.1× 37 1.1× 19 304
Brittany Fitzgerald United States 3 201 1.0× 216 1.4× 89 1.0× 45 1.1× 39 1.1× 6 321
Qinglin Fei China 8 210 1.0× 185 1.2× 134 1.4× 40 1.0× 52 1.5× 16 362
Jimin Son South Korea 8 209 1.0× 277 1.8× 101 1.1× 40 1.0× 55 1.6× 14 438
Sadaf Mehdizadeh United States 3 182 0.9× 118 0.8× 103 1.1× 39 1.0× 40 1.1× 6 298
Jessica Waibl Polania United States 7 178 0.9× 202 1.3× 85 0.9× 23 0.6× 28 0.8× 12 331
Jingya Qiu United States 3 243 1.2× 272 1.8× 146 1.6× 59 1.4× 61 1.7× 4 424
Yumiko Higuchi Japan 10 167 0.8× 166 1.1× 92 1.0× 48 1.2× 16 0.5× 30 305

Countries citing papers authored by Yinjun He

Since Specialization
Citations

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

Fields of papers citing papers by Yinjun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinjun He

This figure shows the co-authorship network connecting the top 25 collaborators of Yinjun He. A scholar is included among the top collaborators of Yinjun He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yinjun He. Yinjun He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
He, Yinjun, Xiang Zhang, Wenguang He, et al.. (2025). Optimization of Immunotherapy Strategies Based on Spatiotemporal Heterogeneity of Tumour‐Associated Tissue‐Resident Memory T Cells. Immunology. 175(2). 123–133. 1 indexed citations
2.
Zhang, Xiang, Yinjun He, Wenguang He, et al.. (2024). Reclassification of RAS/BRAF allele mutations predicts the survival benefit of triplet chemotherapy in metastatic colorectal cancer. Therapeutic Advances in Medical Oncology. 16. 2669771–2669771.
3.
He, Yinjun, et al.. (2024). The roles of PD-L1 in the various stages of tumor metastasis. Cancer and Metastasis Reviews. 43(4). 1475–1488. 7 indexed citations
4.
He, Yinjun, Xiang Zhang, Ming Zhu, et al.. (2023). Soluble PD-L1: a potential dynamic predictive biomarker for immunotherapy in patients with proficient mismatch repair colorectal cancer. Journal of Translational Medicine. 21(1). 46–46. 25 indexed citations
5.
Jiang, Weiqin, Yinjun He, Wenguang He, et al.. (2023). Metastatic sites and lesion numbers cooperated to predict efficacy of PD‐1 inhibitor‐based combination therapy for patients with metastatic colorectal cancer. Cancer Medicine. 12(11). 12482–12494. 1 indexed citations
6.
Hua, Hanju, Wenguang He, Nan Chen, et al.. (2023). Genomic and transcriptomic analysis of MSI-H colorectal cancer patients with targetable alterations identifies clinical implications for immunotherapy. Frontiers in Immunology. 13. 974793–974793. 9 indexed citations
7.
Zhong, Weixiang, Yimin Lu, Zhe Ma, et al.. (2022). Development of a Humanized VHH Based Recombinant Antibody Targeting Claudin 18.2 Positive Cancers. Frontiers in Immunology. 13. 885424–885424. 17 indexed citations
8.
Jiang, Weiqin, Yinjun He, Wenguang He, et al.. (2021). Exhausted CD8+T Cells in the Tumor Immune Microenvironment: New Pathways to Therapy. Frontiers in Immunology. 11. 622509–622509. 225 indexed citations breakdown →
9.
Shen, Yifei, Qinjie Chu, Xinxin Yin, et al.. (2020). TOD-CUP: a gene expression rank-based majority vote algorithm for tissue origin diagnosis of cancers of unknown primary. Briefings in Bioinformatics. 22(2). 2106–2118. 15 indexed citations

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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