Jian Su

8.1k total citations · 2 hit papers
136 papers, 4.6k citations indexed

About

Jian Su is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Jian Su has authored 136 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Pulmonary and Respiratory Medicine, 67 papers in Oncology and 40 papers in Cancer Research. Recurrent topics in Jian Su's work include Lung Cancer Treatments and Mutations (79 papers), Cancer Genomics and Diagnostics (31 papers) and Lung Cancer Research Studies (27 papers). Jian Su is often cited by papers focused on Lung Cancer Treatments and Mutations (79 papers), Cancer Genomics and Diagnostics (31 papers) and Lung Cancer Research Studies (27 papers). Jian Su collaborates with scholars based in China, United States and Taiwan. Jian Su's co-authors include Yi‐Long Wu, Wen‐Zhao Zhong, Xu‐Chao Zhang, Qing Zhou, Jin‐Ji Yang, Hong‐Hong Yan, Zhi Xie, Hai‐Yan Tu, Xue‐Ning Yang and Zhong‐Yi Dong and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jian Su

125 papers receiving 4.5k citations

Hit Papers

Potential Predictive Value of TP53 and KRAS Mutation Stat... 2016 2026 2019 2022 2016 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian Su China 37 3.1k 2.8k 1.4k 1.3k 420 136 4.6k
Hidetoshi Hayashi Japan 36 2.8k 0.9× 3.7k 1.3× 1.4k 1.0× 705 0.5× 488 1.2× 248 5.2k
Hong‐Hong Yan China 31 2.8k 0.9× 2.5k 0.9× 870 0.6× 866 0.6× 223 0.5× 133 3.7k
Makoto Maemondo Japan 37 4.5k 1.5× 4.3k 1.6× 1.8k 1.3× 886 0.7× 346 0.8× 181 6.4k
Ernest Nadal Spain 34 1.8k 0.6× 1.8k 0.7× 1.5k 1.1× 815 0.6× 361 0.9× 169 3.6k
Tina Cascone United States 30 1.6k 0.5× 1.8k 0.7× 1.4k 1.0× 684 0.5× 331 0.8× 104 3.4k
Biagio Ricciuti United States 33 1.7k 0.5× 2.6k 0.9× 1.1k 0.8× 774 0.6× 481 1.1× 161 3.8k
Shunichi Sugawara Japan 36 3.5k 1.1× 4.2k 1.5× 1.1k 0.8× 548 0.4× 448 1.1× 209 5.4k
Jordi Remón France 34 2.4k 0.8× 2.1k 0.8× 1.0k 0.7× 977 0.7× 261 0.6× 175 3.7k
Przemyslaw Twardowski United States 29 2.4k 0.8× 2.2k 0.8× 1.6k 1.1× 1.2k 0.9× 261 0.6× 113 4.3k
Davey B. Daniel United States 19 2.1k 0.7× 2.2k 0.8× 538 0.4× 688 0.5× 362 0.9× 82 3.3k

Countries citing papers authored by Jian Su

Since Specialization
Citations

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

Fields of papers citing papers by Jian Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Su

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Su. A scholar is included among the top collaborators of Jian Su 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 Jian Su. Jian Su 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
2.
Li, Q., Weizhen Zhang, Jian Su, et al.. (2025). Comparative study of the toxicity responses of Vallisneria natans and Pistia stratiotes to sulfadiazine under different planting methods. Journal of Hazardous Materials. 488. 137323–137323.
3.
Yi, Hyeon Gyu, et al.. (2024). Application of waste eggshells elevates phytoremediation efficiency of Pb-Zn mine-contaminated farmland and mitigates soil greenhouse gas emissions: A field study. Journal of Environmental Management. 370. 122947–122947. 7 indexed citations
4.
Deng, Jia‐Yi, Lingling Yang, Zhihong Chen, et al.. (2023). Immune suppressive microenvironment in liver metastases contributes to organ-specific response of immunotherapy in advanced non-small cell lung cancer. Journal for ImmunoTherapy of Cancer. 11(7). e007218–e007218. 23 indexed citations
6.
Zhu, Zheng, Jiannan Liu, Jian Su, et al.. (2023). Vitamin D status and chronic obstructive pulmonary disease risk: a prospective UK Biobank study. BMJ Open Respiratory Research. 10(1). e001684–e001684. 8 indexed citations
7.
Zhang, Jia‐Tao, Song Dong, Jiaying Zhou, et al.. (2022). Intratumoral genetic and immune microenvironmental heterogeneity in T4N0M0 (diameter ≥ 7 cm) non‐small cell lung cancers. Thoracic Cancer. 13(9). 1333–1341. 2 indexed citations
8.
Li, Xiaodong, et al.. (2022). Clinical evaluation of contrast-enhanced CT combined with PET/CT in diagnosis of mediastinal lymph node metastasis of non-small-cell lung cancer. Pakistan Journal of Medical Sciences. 38(5). 1343–1348. 1 indexed citations
9.
Lin, Yen‐Ting, Chi‐Lu Chiang, Jen‐Yu Hung, et al.. (2021). Resistance profiles of anaplastic lymphoma kinase tyrosine kinase inhibitors in advanced non–small-cell lung cancer: a multicenter study using targeted next-generation sequencing. European Journal of Cancer. 156. 1–11. 25 indexed citations
10.
Su, Jian, et al.. (2019). Nobiletin-loaded micelles reduce ovariectomy-induced bone loss by suppressing osteoclastogenesis. SHILAP Revista de lepidopterología.
11.
Wang, Hong, et al.. (2019). Tumor-educated platelet miR-34c-3p and miR-18a-5p as potential liquid biopsy biomarkers for nasopharyngeal carcinoma diagnosis. SHILAP Revista de lepidopterología. 3 indexed citations
12.
Liao, Xia, Juan Lin, Jian Su, et al.. (2019). Diallyl disulfide inhibits colon cancer metastasis by suppressing Rac1-mediated epithelial-mesenchymal transition. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Kang, Jin‐Hyoung, Hua‐Jun Chen, Xu‐Chao Zhang, et al.. (2018). Heterogeneous responses and resistant mechanisms to crizotinib in ALK‐positive advanced non‐small cell lung cancer. Thoracic Cancer. 9(9). 1093–1103. 17 indexed citations
14.
Su, Jian, Qixin Leng, Yanli Lin, et al.. (2018). Integrating Circulating Immunological and Sputum Biomarkers for the Early Detection of Lung Cancer. SHILAP Revista de lepidopterología. 10. 1179299X18759297–1179299X18759297. 12 indexed citations
15.
Huang, Ying, Jian Su, Zhi Xie, et al.. (2017). [Detection of UGT1A1*28 Polymorphism Using Fragment Analysis].. SHILAP Revista de lepidopterología. 20(12). 817–821. 1 indexed citations
16.
Dong, Zhong‐Yi, Wen‐Zhao Zhong, Xu‐Chao Zhang, et al.. (2016). Potential Predictive Value of TP53 and KRAS Mutation Status for Response to PD-1 Blockade Immunotherapy in Lung Adenocarcinoma. Clinical Cancer Research. 23(12). 3012–3024. 741 indexed citations breakdown →
17.
Yang, Jin-Ji, Xu‐Chao Zhang, Jian Su, et al.. (2014). Lung Cancers with Concomitant EGFR Mutations and ALK Rearrangements: Diverse Responses to EGFR-TKI and Crizotinib in Relation to Diverse Receptors Phosphorylation. Clinical Cancer Research. 20(5). 1383–1392. 135 indexed citations
18.
Su, Jian. (2011). Establishment and evaluation of rat heart ischemia-reperfusion injury model in vivo. Zhongguo bingli shengli zazhi. 1 indexed citations
19.
Chen, Zhihong, Ailin Guo, Shejuan An, et al.. (2010). High resolution melting analysis for the rapid and sensitive detection of KRAS codon 12 and 13 mutations in colorectal cancer. Zhonghua jianyan yixue zazhi. 33(3). 209–212. 1 indexed citations
20.
Su, Jian. (2006). The differential proteomic expression analysis of diallyl disulfide-induced human colonic cancer cells. Zhongguo yaolixue tongbao. 2 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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