Ru Jia

2.8k total citations · 1 hit paper
50 papers, 1.6k citations indexed

About

Ru Jia is a scholar working on Oncology, Epidemiology and Molecular Biology. According to data from OpenAlex, Ru Jia has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 18 papers in Epidemiology and 12 papers in Molecular Biology. Recurrent topics in Ru Jia's work include Neuroendocrine Tumor Research Advances (16 papers), Lung Cancer Research Studies (15 papers) and Neuroblastoma Research and Treatments (12 papers). Ru Jia is often cited by papers focused on Neuroendocrine Tumor Research Advances (16 papers), Lung Cancer Research Studies (15 papers) and Neuroblastoma Research and Treatments (12 papers). Ru Jia collaborates with scholars based in China, United States and Australia. Ru Jia's co-authors include Qiwen Fang, Lijuan Huang, Jianming Xu, Rongrui Liu, Gairong Zhang, Yan Wang, Zhiyuan Hu, Xin Yi, Lianpeng Chang and Yun Zhang and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Ru Jia

44 papers receiving 1.6k citations

Hit Papers

Anti-PD-1 Antibody SHR-1210 Combined with Apatinib for Ad... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ru Jia China 19 833 422 415 318 278 50 1.6k
Xiaoyong Huang China 21 470 0.6× 601 1.4× 434 1.0× 197 0.6× 178 0.6× 57 1.6k
Tai Hato Japan 16 822 1.0× 435 1.0× 522 1.3× 342 1.1× 169 0.6× 38 1.8k
Ningling Ge China 20 505 0.6× 323 0.8× 220 0.5× 200 0.6× 328 1.2× 44 1.4k
Eliza Wiercinska Germany 22 788 0.9× 1.1k 2.6× 263 0.6× 194 0.6× 242 0.9× 41 2.1k
Lei Zhu China 22 426 0.5× 490 1.2× 171 0.4× 543 1.7× 148 0.5× 84 1.4k
Hervé Sartelet France 23 527 0.6× 807 1.9× 246 0.6× 224 0.7× 148 0.5× 82 1.7k
Yong Yi China 27 905 1.1× 607 1.4× 663 1.6× 236 0.7× 285 1.0× 68 2.0k
Paola Paterini Italy 16 673 0.8× 659 1.6× 172 0.4× 237 0.7× 163 0.6× 28 1.5k
Charles LeVea United States 24 997 1.2× 720 1.7× 243 0.6× 321 1.0× 107 0.4× 71 1.8k
Yutaka Kurebayashi Japan 16 401 0.5× 356 0.8× 588 1.4× 259 0.8× 146 0.5× 42 1.3k

Countries citing papers authored by Ru Jia

Since Specialization
Citations

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

Fields of papers citing papers by Ru Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ru Jia

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

All Works

20 of 20 papers shown
1.
Zhang, Yuwei, Haiqiong Zhang, Chao Ren, et al.. (2025). Assessment of the diagnostic efficacy and clinical significance of [18F]AlF-NOTA-LM3 PET/CT in patients with well-differentiated neuroendocrine tumors. European Journal of Nuclear Medicine and Molecular Imaging. 53(2). 954–967.
2.
Luo, Dan, et al.. (2025). Targeting tumor angiogenesis and metabolism: a new perspective in pediatric thoracic tumor therapy. Frontiers in Cell and Developmental Biology. 13. 1558403–1558403.
3.
Li, Zihan, et al.. (2025). Study on the Therapeutic Effect of Yu-Mu-Tiao-Shen Acupuncture on Rats with Autism Spectrum Disorder. Neuropsychiatric Disease and Treatment. Volume 21. 2195–2210.
5.
Ren, Chao, Haiqiong Zhang, Yuwei Zhang, et al.. (2024). Evaluation of the safety, biodistribution, dosimetry of [18F]AlF-NOTA-LM3 and head-to-head comparison with [68Ga]Ga-DOTATATE in patients with well-differentiated neuroendocrine tumors: an interim analysis of a prospective trial. European Journal of Nuclear Medicine and Molecular Imaging. 51(12). 3719–3730. 6 indexed citations
6.
Liu, Meixi, Yuejuan Cheng, Chunmei Bai, et al.. (2024). Gallium-68 labeled somatostatin receptor antagonist PET/CT in over 500 patients with neuroendocrine neoplasms: experience from a single center in China. European Journal of Nuclear Medicine and Molecular Imaging. 51(7). 2002–2011. 9 indexed citations
7.
Lai, Wenfang, Yanfeng He, Qingqing Wu, et al.. (2024). Salidroside facilitates neuroprotective effects in ischemic stroke by promoting axonal sprouting through promoting autophagy. Phytomedicine. 135. 156208–156208. 7 indexed citations
9.
Wang, Jianping, Ru Jia, Pietro Celi, et al.. (2022). Resveratrol Alleviating the Ovarian Function Under Oxidative Stress by Alternating Microbiota Related Tryptophan-Kynurenine Pathway. Frontiers in Immunology. 13. 911381–911381. 24 indexed citations
10.
Zhu, Wenjia, Ru Jia, Qiao Yang, et al.. (2021). A prospective randomized, double-blind study to evaluate the diagnostic efficacy of 68Ga-NODAGA-LM3 and 68Ga-DOTA-LM3 in patients with well-differentiated neuroendocrine tumors: compared with 68Ga-DOTATATE. European Journal of Nuclear Medicine and Molecular Imaging. 49(5). 1613–1622. 25 indexed citations
11.
Chang, Yue, et al.. (2021). Metapristone (RU486-derivative) inhibits endometrial cancer cell progress through regulating miR-492/Klf5/Nrf1 axis. Cancer Cell International. 21(1). 29–29. 4 indexed citations
13.
Sun, Bin, Dong Yang, Hongjiu Dai, et al.. (2019). Eradication of Hepatocellular Carcinoma by NKG2D-Based CAR-T Cells. Cancer Immunology Research. 7(11). 1813–1823. 115 indexed citations
15.
Zhu, Wenjia, Yuejuan Cheng, Xuezhu Wang, et al.. (2019). Head-to-Head Comparison of 68Ga-DOTA-JR11 and 68Ga-DOTATATE PET/CT in Patients with Metastatic, Well-Differentiated Neuroendocrine Tumors: A Prospective Study. Journal of Nuclear Medicine. 61(6). 897–903. 59 indexed citations
16.
Xu, Jian-Ming, Yun Zhang, Ru Jia, et al.. (2018). Anti-PD-1 Antibody SHR-1210 Combined with Apatinib for Advanced Hepatocellular Carcinoma, Gastric, or Esophagogastric Junction Cancer: An Open-label, Dose Escalation and Expansion Study. Clinical Cancer Research. 25(2). 515–523. 368 indexed citations breakdown →
17.
Jia, Ru, et al.. (2017). Thymic Neuroendocrine Neoplasms: Biological Behaviour and Therapy. Neuroendocrinology. 105(2). 105–114. 34 indexed citations
18.
Li, Lin, et al.. (2015). Patients with brain metastases derived from gastrointestinal cancer: clinical characteristics and prognostic factors. Clinical & Translational Oncology. 18(1). 93–98. 9 indexed citations
19.
Jia, Ru, et al.. (2014). The PD-1/PD-Ls pathway and autoimmune diseases. Cellular Immunology. 290(1). 72–79. 286 indexed citations
20.
Gao, Jing, Jun Zhou, Yanyan Li, et al.. (2013). UGT1A1*6/*28 polymorphisms could predict irinotecan-induced severe neutropenia not diarrhea in Chinese colorectal cancer patients. Medical Oncology. 30(3). 604–604. 35 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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