Hejin Jia

1.1k total citations
11 papers, 784 citations indexed

About

Hejin Jia is a scholar working on Oncology, Genetics and Immunology. According to data from OpenAlex, Hejin Jia has authored 11 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 3 papers in Genetics and 2 papers in Immunology. Recurrent topics in Hejin Jia's work include CAR-T cell therapy research (8 papers), Virus-based gene therapy research (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Hejin Jia is often cited by papers focused on CAR-T cell therapy research (8 papers), Virus-based gene therapy research (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Hejin Jia collaborates with scholars based in China and Philippines. Hejin Jia's co-authors include Weidong Han, Yelei Guo, Yao Wang, Hanren Dai, Kaichao Feng, Zhiqiang Wu, Qingming Yang, Xiang Li, Yang Liu and Chuan Tong and has published in prestigious journals such as Clinical Cancer Research, World Journal of Gastroenterology and Journal of Hematology & Oncology.

In The Last Decade

Hejin Jia

11 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hejin Jia China 7 706 223 220 202 196 11 784
Brock Lanier United States 5 1.0k 1.4× 439 2.0× 241 1.1× 294 1.5× 343 1.8× 8 1.1k
Farzana Nazimuddin United States 9 865 1.2× 276 1.2× 234 1.1× 213 1.1× 262 1.3× 11 958
Tatsunori Goto Japan 14 435 0.6× 240 1.1× 163 0.7× 216 1.1× 146 0.7× 48 723
Elise McCormack United States 4 351 0.5× 137 0.6× 135 0.6× 118 0.6× 104 0.5× 8 565
Jason Yu United States 8 328 0.5× 168 0.8× 147 0.7× 164 0.8× 160 0.8× 11 531
Stefanie Lesch Germany 8 686 1.0× 278 1.2× 211 1.0× 284 1.4× 188 1.0× 10 798
Jonathan Fisher United Kingdom 14 648 0.9× 597 2.7× 119 0.5× 150 0.7× 129 0.7× 30 961
Mireya Paulina Velasquez United States 15 589 0.8× 271 1.2× 132 0.6× 218 1.1× 156 0.8× 42 783
Margherita Norelli Italy 6 1.2k 1.7× 458 2.1× 395 1.8× 388 1.9× 352 1.8× 9 1.5k
Ramona M. Lim United States 6 854 1.2× 479 2.1× 128 0.6× 178 0.9× 251 1.3× 9 941

Countries citing papers authored by Hejin Jia

Since Specialization
Citations

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

Fields of papers citing papers by Hejin Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hejin Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Hejin Jia. A scholar is included among the top collaborators of Hejin Jia 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 Hejin Jia. Hejin Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Guo, Yelei, Chuan Tong, Liping Su, et al.. (2022). CRISPR/Cas9 genome-edited universal CAR T cells in patients with relapsed/refractory lymphoma. Blood Advances. 6(8). 2695–2699. 22 indexed citations
2.
Dai, Hanren, Zhiqiang Wu, Hejin Jia, et al.. (2020). Bispecific CAR-T cells targeting both CD19 and CD22 for therapy of adults with relapsed or refractory B cell acute lymphoblastic leukemia. Journal of Hematology & Oncology. 13(1). 30–30. 227 indexed citations
3.
4.
5.
Li, Xiang, Yan Zhang, Meixia Chen, et al.. (2017). Increased IFNγ+ T Cells Are Responsible for the Clinical Responses of Low-Dose DNA-Demethylating Agent Decitabine Antitumor Therapy. Clinical Cancer Research. 23(20). 6031–6043. 45 indexed citations
6.
Guo, Yelei, Kaichao Feng, Yang Liu, et al.. (2017). Phase I Study of Chimeric Antigen Receptor–Modified T Cells in Patients with EGFR-Positive Advanced Biliary Tract Cancers. Clinical Cancer Research. 24(6). 1277–1286. 196 indexed citations
7.
Feng, Kaichao, Yelei Guo, Hanren Dai, et al.. (2016). Chimeric antigen receptor-modified T cells for the immunotherapy of patients with EGFR-expressing advanced relapsed/refractory non-small cell lung cancer. Science China Life Sciences. 59(5). 468–479. 228 indexed citations
8.
Jia, Hejin. (2016). Relationship of serum polyunsaturated fatty acids with cytokines in colorectal cancer. World Journal of Gastroenterology. 22(8). 2524–2524. 6 indexed citations
9.
Jia, Hejin, et al.. (2016). Evaluation of 29 indicators for the prognosis of advanced non-small cell lung cancer with cytokine-induced killer cell therapy combined with chemotherapy. Experimental and Therapeutic Medicine. 11(5). 1601–1610. 8 indexed citations
10.
Jia, Hejin & Weidong Han. (2016). [Anti-CD19 chimeric antigen receptor T cells (CART-19) for hemotological malignancies therapy].. PubMed. 37(2). 164–8. 2 indexed citations
11.
You, Shaoli, et al.. (2016). [Comparison study of subcutaneous immunotherapy and sublingual immunotherapy in patients with allergic rhinitis].. PubMed. 30(9). 689–693. 1 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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