Lei Tang

4.4k total citations · 1 hit paper
90 papers, 1.7k citations indexed

About

Lei Tang is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Lei Tang has authored 90 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Pulmonary and Respiratory Medicine, 27 papers in Oncology and 25 papers in Surgery. Recurrent topics in Lei Tang's work include Gastric Cancer Management and Outcomes (35 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Gastrointestinal Tumor Research and Treatment (15 papers). Lei Tang is often cited by papers focused on Gastric Cancer Management and Outcomes (35 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Gastrointestinal Tumor Research and Treatment (15 papers). Lei Tang collaborates with scholars based in China, Ethiopia and United States. Lei Tang's co-authors include Ying‐Shi Sun, Yue Ma, Jiafu Ji, Jie Tian, Di Dong, Xiao-Ting Li, Kun Cao, Zhaode Bu, Yingchun Xu and Fei Shan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Cochrane Database of Systematic Reviews.

In The Last Decade

Lei Tang

81 papers receiving 1.7k citations

Hit Papers

Development and validation of an individualized nomogram ... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer
    2019 305 citations Lei Tang, Ying‐Shi Sun et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Tang China 23 721 661 581 360 242 90 1.7k
Kenta Miwa Japan 22 618 0.9× 667 1.0× 288 0.5× 513 1.4× 175 0.7× 120 1.7k
Daniel Reim Germany 20 877 1.2× 311 0.5× 448 0.8× 643 1.8× 377 1.6× 73 1.7k
Fei Yuan China 23 447 0.6× 204 0.3× 473 0.8× 314 0.9× 138 0.6× 69 1.5k
Zhan Feng China 22 284 0.4× 388 0.6× 530 0.9× 143 0.4× 46 0.2× 60 1.3k
Yasuhiro Okumura Japan 24 480 0.7× 210 0.3× 1.1k 1.8× 545 1.5× 81 0.3× 106 2.1k
Hiroyuki Yanai Japan 25 563 0.8× 123 0.2× 490 0.8× 386 1.1× 74 0.3× 148 2.0k
Sebastian Huss Germany 28 812 1.1× 262 0.4× 430 0.7× 481 1.3× 234 1.0× 80 2.8k
Vivek Mehta United States 22 991 1.4× 660 1.0× 992 1.7× 595 1.7× 25 0.1× 50 2.5k

Countries citing papers authored by Lei Tang

Since Specialization
Citations

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

Fields of papers citing papers by Lei Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Tang. A scholar is included among the top collaborators of Lei Tang 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 Lei Tang. Lei Tang 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.
2.
Wei, Jia, Lei Tang, Sijian Wang, et al.. (2025). TLR4 identified as a major depressive disorder gene signature mediating effects through multiple immune cells. Scientific Reports. 15(1). 12437–12437. 2 indexed citations
3.
Zhao, Yawei, et al.. (2025). Predictive factors of postminimally invasive lithotripsy urosepsis and its impact on prognosis. Current Problems in Surgery. 69. 101804–101804.
4.
5.
Zhang, Hui, Jiazheng Li, Yinli Zhang, et al.. (2024). CT assessed morphological features can predict higher mitotic index in gastric gastrointestinal stromal tumors. European Radiology. 35(4). 2094–2105.
6.
Chen, Jun, et al.. (2023). Bio-adhesive and ROS-scavenging hydrogel microspheres for targeted ulcerative colitis therapy. International Journal of Pharmaceutics. 639. 122962–122962. 22 indexed citations
7.
Liu, Lili, et al.. (2023). A novel and alternative therapy for persistent allergic rhinitis via intranasal acupuncture: a randomized controlled trial. European Archives of Oto-Rhino-Laryngology. 280(6). 2773–2783. 10 indexed citations
8.
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Li, Zhenzhen, Fei Deng, Li Zhu, et al.. (2023). Fewer hills with more seedlings improved lodging resistance of whole hill and yield stability of machine‐transplanted rice. Agronomy Journal. 115(2). 620–634. 5 indexed citations
10.
Wang, Qing, et al.. (2021). Paeoniflorin Sensitizes Breast Cancer Cells to Tamoxifen by Downregulating microRNA-15b via the FOXO1/CCND1/β-Catenin Axis. SHILAP Revista de lepidopterología.
11.
Li, Yanling, et al.. (2021). Role of CT in the prediction of pathological complete response in gastric cancer after neoadjuvant chemotherapy. Abdominal Radiology. 46(7). 3011–3018. 17 indexed citations
12.
Li, Jiazheng & Lei Tang. (2021). Radiomics in Antineoplastic Agents Development: Application and Challenge in Response Evaluation. Chinese Medical Sciences Journal. 36(3). 187–195.
13.
Wang, Zhilong, Yanling Li, Lei Tang, et al.. (2020). Utility of the gastric window in computed tomography for differentiation of early gastric cancer (T1 stage) from muscularis involvement (T2 stage). Abdominal Radiology. 46(4). 1478–1486. 9 indexed citations
14.
Miao, Rulin, et al.. (2019). Computed Tomography Arteriography for Detecting the Origin of the Inferior Pyloric Artery in Patients with Gastric Cancer. Korean Journal of Radiology. 20(3). 422–422. 3 indexed citations
15.
Tang, Lei, et al.. (2019). CT findings in diagnosis of gastric bare area invasion: potential prognostic factors for proximal gastric carcinoma. Japanese Journal of Radiology. 37(7). 518–525. 2 indexed citations
16.
Liu, Jinxia, Hui Xu, Xuening Zhang, et al.. (2018). ARP3 promotes tumor metastasis and predicts a poor prognosis in hepatocellular carcinoma. Pathology - Research and Practice. 214(9). 1356–1361. 6 indexed citations
17.
Tang, Lei, et al.. (2016). Tumor angiogenesis-related parameters in multi-phase enhanced CT correlated with outcomes of hepatocellular carcinoma patients after radical hepatectomy. European Journal of Surgical Oncology. 42(4). 538–544. 4 indexed citations
18.
Li, Xiao-Ting, Lei Tang, Ying Chen, et al.. (2014). Visceral and subcutaneous fat as new independent predictive factors of survival in locally advanced gastric carcinoma patients treated with neo-adjuvant chemotherapy. Journal of Cancer Research and Clinical Oncology. 141(7). 1237–1247. 34 indexed citations
19.
Shi, Xiaohong, Liang Sun, Li Wang, et al.. (2012). Haptoglobin 2-2 Genotype Is Associated with Increased Risk of Type 2 Diabetes Mellitus in Northern Chinese. Genetic Testing and Molecular Biomarkers. 16(6). 563–568. 20 indexed citations
20.
Tang, Lei. (2007). Research for the correlative indicators of diagnosing lymph nodes metastases by helical CT in gastric cardiac carcinoma. 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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