Lie-Jun Mei

775 total citations · 1 hit paper
7 papers, 566 citations indexed

About

Lie-Jun Mei is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Reproductive Medicine. According to data from OpenAlex, Lie-Jun Mei has authored 7 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Reproductive Medicine. Recurrent topics in Lie-Jun Mei's work include Intraperitoneal and Appendiceal Malignancies (5 papers), Ovarian cancer diagnosis and treatment (3 papers) and Neuroendocrine Tumor Research Advances (1 paper). Lie-Jun Mei is often cited by papers focused on Intraperitoneal and Appendiceal Malignancies (5 papers), Ovarian cancer diagnosis and treatment (3 papers) and Neuroendocrine Tumor Research Advances (1 paper). Lie-Jun Mei collaborates with scholars based in China. Lie-Jun Mei's co-authors include Xiaojun Yang, Yan Li, Chaoqun Huang, Yunfeng Zhou, Yutaka Yonemura, Guoliang Yang, Tao Suo, Bin Xiong, Fulin Cheng and Li Tang and has published in prestigious journals such as Medicine, Annals of Surgical Oncology and BMC Cancer.

In The Last Decade

Lie-Jun Mei

7 papers receiving 548 citations

Hit Papers

Cytoreductive Surgery and Hyperthermic Intraperitoneal Ch... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lie-Jun Mei China 4 481 240 194 170 101 7 566
Nobuyuki Takao Japan 13 557 1.2× 259 1.1× 235 1.2× 210 1.2× 137 1.4× 36 663
Haruaki Ishibashi Japan 14 600 1.2× 260 1.1× 209 1.1× 242 1.4× 106 1.0× 56 709
A. Garofalo Italy 12 469 1.0× 184 0.8× 121 0.6× 261 1.5× 71 0.7× 24 552
Takaaki Mutou Japan 8 426 0.9× 215 0.9× 224 1.2× 109 0.6× 93 0.9× 15 530
Kokuriki Kobayashi Japan 6 399 0.8× 213 0.9× 198 1.0× 109 0.6× 91 0.9× 11 469
Tadashi Toyosawa Japan 6 361 0.8× 198 0.8× 167 0.9× 105 0.6× 78 0.8× 13 426
Shouzou Sako Japan 11 310 0.6× 150 0.6× 109 0.6× 131 0.8× 61 0.6× 30 354
Koen P. Rovers Netherlands 16 458 1.0× 190 0.8× 90 0.5× 253 1.5× 35 0.3× 36 571
C. Demtröder Germany 10 562 1.2× 211 0.9× 132 0.7× 316 1.9× 31 0.3× 14 611
Alexander Kerscher Germany 11 430 0.9× 160 0.7× 106 0.5× 233 1.4× 22 0.2× 20 535

Countries citing papers authored by Lie-Jun Mei

Since Specialization
Citations

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

Fields of papers citing papers by Lie-Jun Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lie-Jun Mei. 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 Lie-Jun Mei. The network helps show where Lie-Jun Mei may publish in the future.

Co-authorship network of co-authors of Lie-Jun Mei

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

All Works

7 of 7 papers shown
1.
Zhang, Jue, Lie-Jun Mei, Xinghuan Wang, & Yan Li. (2020). Ten years’ disease-free survival of advanced epithelial ovarian cancer treated by cytoreductive surgery plus hyperthermic intraperitoneal chemotherapy. Medicine. 99(49). e23404–e23404. 1 indexed citations
2.
Luo, Changliang, Yuan Rong, Hao Chen, et al.. (2019). A Logistic Regression Model for Noninvasive Prediction of AFP-Negative Hepatocellular Carcinoma. Technology in Cancer Research & Treatment. 18. 1078114280–1078114280. 19 indexed citations
3.
Xu, Xianqun, et al.. (2017). Stage I lung adenocarcinoma. Medicine. 96(16). e6595–e6595. 2 indexed citations
4.
Mei, Lie-Jun, Lin‐Wei Wang, Chaoqun Huang, Xiaojun Yang, & Yan Li. (2015). Oral gastrografin radiography for the evaluation of the functional impact of peritoneal carcinomatosis: Correlation with clinicopathological findings. Molecular and Clinical Oncology. 3(5). 979–986. 2 indexed citations
5.
Yang, Xiaojun, Chaoqun Huang, Tao Suo, et al.. (2011). Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy Improves Survival of Patients with Peritoneal Carcinomatosis from Gastric Cancer: Final Results of a Phase III Randomized Clinical Trial. Annals of Surgical Oncology. 18(6). 1575–1581. 495 indexed citations breakdown →
6.
Tang, Li, Lie-Jun Mei, Xiaojun Yang, et al.. (2011). Cytoreductive surgery plus hyperthermic intraperitoneal chemotherapy improves survival of gastric cancer with peritoneal carcinomatosis: evidence from an experimental study. Journal of Translational Medicine. 9(1). 53–53. 32 indexed citations
7.
Mei, Lie-Jun, et al.. (2010). Establishment and identification of a rabbit model of peritoneal carcinomatosis from gastric cancer. BMC Cancer. 10(1). 124–124. 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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