Jianjing Liu

467 total citations
27 papers, 349 citations indexed

About

Jianjing Liu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jianjing Liu has authored 27 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jianjing Liu's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (5 papers) and Lung Cancer Treatments and Mutations (5 papers). Jianjing Liu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (5 papers) and Lung Cancer Treatments and Mutations (5 papers). Jianjing Liu collaborates with scholars based in China, United States and Malaysia. Jianjing Liu's co-authors include Xiaofeng Li, Wengui Xu, Dong Dai, Lei Zhu, Guotao Yin, Xiuyu Song, Wenjuan Ma, Yufan Zhang, Qi Wang and Wenchao Ma and has published in prestigious journals such as International Journal of Cancer, International Journal of Biological Macromolecules and World Journal of Gastroenterology.

In The Last Decade

Jianjing Liu

27 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianjing Liu China 11 128 106 103 77 56 27 349
Xuejing Yao China 8 146 1.1× 175 1.7× 31 0.3× 86 1.1× 21 0.4× 13 334
Xianling Qian China 12 82 0.6× 80 0.8× 60 0.6× 162 2.1× 132 2.4× 31 387
Yoriko Yamashita‐Kashima United States 9 150 1.2× 257 2.4× 112 1.1× 78 1.0× 21 0.4× 18 341
Jelena Urosevic Spain 8 28 0.2× 227 2.1× 72 0.7× 221 2.9× 111 2.0× 10 462
Zetian Shen China 13 44 0.3× 109 1.0× 126 1.2× 214 2.8× 174 3.1× 30 439
Ali Hussain United States 5 18 0.1× 65 0.6× 55 0.5× 129 1.7× 46 0.8× 5 278
Minghua Ge China 9 20 0.2× 62 0.6× 50 0.5× 148 1.9× 56 1.0× 27 329
Anders Ståhls Finland 11 25 0.2× 56 0.5× 53 0.5× 90 1.2× 32 0.6× 21 317
Roberto Arrojo United States 5 148 1.2× 308 2.9× 95 0.9× 133 1.7× 36 0.6× 11 392
Maria Elisabetta Fratto Italy 11 79 0.6× 214 2.0× 62 0.6× 86 1.1× 34 0.6× 14 372

Countries citing papers authored by Jianjing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jianjing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianjing Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianjing Liu. A scholar is included among the top collaborators of Jianjing Liu 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 Jianjing Liu. Jianjing Liu 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.
Liu, Jianjing, Ziyang Wang, Jie Fu, et al.. (2024). Radiomics based on 18F-FDG PET/CT for prediction of pathological complete response to neoadjuvant therapy in non-small cell lung cancer. Frontiers in Oncology. 14. 1425837–1425837. 3 indexed citations
2.
Liu, Jianjing, Yufan Zhang, Wenjuan Ma, et al.. (2023). Predictive value of radiomic signature based on 2-[18F]FDG PET/CT in HER2 status determination for primary breast cancer with equivocal IHC results. European Journal of Radiology. 167. 111050–111050. 2 indexed citations
3.
Wang, Rongrong, et al.. (2022). SENP1 promotes triple-negative breast cancer invasion and metastasis via enhancing CSN5 transcription mediated by GATA1 deSUMOylation. International Journal of Biological Sciences. 18(5). 2186–2201. 16 indexed citations
4.
Zhu, Li, Yingyin Xu, Liping Zhu, et al.. (2022). Protective effects of Cyclocarya paliurus on hyperuricemia and urate-induced inflammation. Journal of Functional Foods. 94. 105130–105130. 9 indexed citations
5.
Pan, Xin, Pei Liu, Jianjing Liu, et al.. (2022). Evaluation and characterization of starch nanoparticles for adsorption of urea from dialysates. International Journal of Biological Macromolecules. 221. 965–975. 18 indexed citations
6.
Yu, Xiaozhou, Ziyang Wang, Yiwen Chen, et al.. (2021). The Predictive Role of Immune Related Subgroup Classification in Immune Checkpoint Blockade Therapy for Lung Adenocarcinoma. Frontiers in Genetics. 12. 771830–771830. 3 indexed citations
7.
Yan, Jie, et al.. (2021). Value of pretreatment 18F-FDG PET/CT in prognosis and the reflection of tumor burden: a study in pediatric patients with newly diagnosed neuroblastoma. International Journal of Medical Sciences. 18(8). 1857–1865. 10 indexed citations
8.
Zhu, Lei, Xiaofeng Li, Jian Wang, et al.. (2020). Value of metabolic parameters in distinguishing primary mediastinal lymphomas from thymic epithelial tumors. Cancer Biology and Medicine. 17(2). 468–477. 10 indexed citations
9.
Fang, Qi‐Jun, Jianjing Liu, Yi‐Gang Wan, et al.. (2020). [Exploring molecular mechanisms of fucoidan in improving human proximal renal tubular epithelial cells aging by targeting autophagy signaling pathways].. PubMed. 45(24). 6003–6011. 4 indexed citations
10.
Li, Xiaofeng, Guotao Yin, Wei Ji, et al.. (2020). <p><sup>18</sup>F-FHBG PET-CT Reporter Gene Imaging of Adoptive CIK Cell Transfer Immunotherapy for Breast Cancer in a Mouse Model</p>. OncoTargets and Therapy. Volume 13. 11659–11668. 1 indexed citations
11.
Zhang, Yufan, Jianjing Liu, Xiaozhou Yu, et al.. (2020). Enhanced glucose metabolism mediated by CD147 is associated with 18F‐FDG PET/CT imaging in lung adenocarcinoma. Thoracic Cancer. 11(5). 1245–1257. 3 indexed citations
12.
Li, Xiaofeng, Guotao Yin, Yufan Zhang, et al.. (2019). Predictive Power of a Radiomic Signature Based on 18F-FDG PET/CT Images for EGFR Mutational Status in NSCLC. Frontiers in Oncology. 9. 1062–1062. 66 indexed citations
13.
14.
Chen, Wei, Xiaofeng Li, Lei Zhu, et al.. (2017). Preclinical and clinical applications of specific molecular imaging for HER2-positive breast cancer. Cancer Biology and Medicine. 14(3). 271–271. 15 indexed citations
15.
Li, Xiaofeng, Dong Dai, Xiuyu Song, et al.. (2017). A different representation of natural T cells and natural killer cells between tumor-infiltrating and periphery lymphocytes in human hepatocellular carcinoma. Oncology Letters. 13(5). 3291–3298. 10 indexed citations
16.
17.
Dai, Dong, Xiaofeng Li, Jian Wang, et al.. (2015). Predictive efficacy of 11C‐PD153035 PET imaging for EGFR–tyrosine kinase inhibitor sensitivity in non‐small cell lung cancer patients. International Journal of Cancer. 138(4). 1003–1012. 20 indexed citations
18.
19.
Li, Xiaofeng, Dong Dai, Xiuyu Song, et al.. (2014). A meta-analysis of cytokine-induced killer cells therapy in combination with minimally invasive treatment for hepatocellular carcinoma. Clinics and Research in Hepatology and Gastroenterology. 38(5). 583–591. 30 indexed citations
20.
Dai, Dong, et al.. (2013). Safety and efficacy of a peripheral intravenous bolus of Licartin for the treatment of advanced hepatocellular carcinoma. Experimental and Therapeutic Medicine. 6(6). 1417–1422. 4 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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