Jason Lei

911 total citations · 1 hit paper
13 papers, 707 citations indexed

About

Jason Lei is a scholar working on Oncology, Cancer Research and Surgery. According to data from OpenAlex, Jason Lei has authored 13 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Cancer Research and 3 papers in Surgery. Recurrent topics in Jason Lei's work include Breast Cancer Treatment Studies (4 papers), HER2/EGFR in Cancer Research (3 papers) and Cancer Genomics and Diagnostics (3 papers). Jason Lei is often cited by papers focused on Breast Cancer Treatment Studies (4 papers), HER2/EGFR in Cancer Research (3 papers) and Cancer Genomics and Diagnostics (3 papers). Jason Lei collaborates with scholars based in United States, Taiwan and Australia. Jason Lei's co-authors include Anthony W. Ferrante, Eiji Sugaru, Rudolf Zechner, Guenter Haemmerle, Micheal Leser, Essam Enan, A. N. Thompson, Andrew Currie, Serina Hancock and Shimin Liu and has published in prestigious journals such as Journal of Clinical Investigation, Cancer Research and Clinical Chemistry.

In The Last Decade

Jason Lei

13 papers receiving 693 citations

Hit Papers

Weight loss and lipolysis promote a dynamic immune respon... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Lei United States 7 385 357 175 107 90 13 707
Lianne van Beek Netherlands 15 182 0.5× 186 0.5× 148 0.8× 168 1.6× 59 0.7× 19 669
Changbing Zheng China 15 183 0.5× 380 1.1× 112 0.6× 401 3.7× 27 0.3× 33 1.0k
Maxime Reverchon France 20 445 1.2× 343 1.0× 122 0.7× 142 1.3× 164 1.8× 34 1.4k
Jeanene M. de Avila United States 18 123 0.3× 373 1.0× 73 0.4× 291 2.7× 72 0.8× 42 896
Namya Mellouk France 16 190 0.5× 156 0.4× 67 0.4× 104 1.0× 98 1.1× 27 738
Shenshen Pu China 7 131 0.3× 295 0.8× 47 0.3× 208 1.9× 46 0.5× 8 592
Meng Dong China 14 265 0.7× 562 1.6× 48 0.3× 329 3.1× 148 1.6× 40 1.1k
Kathleen LaPoint United States 6 196 0.5× 299 0.8× 49 0.3× 246 2.3× 29 0.3× 7 603
Jianbo Hu United States 14 66 0.2× 224 0.6× 336 1.9× 272 2.5× 53 0.6× 32 1.1k
Xiaojing Yang China 17 104 0.3× 281 0.8× 45 0.3× 412 3.9× 30 0.3× 43 941

Countries citing papers authored by Jason Lei

Since Specialization
Citations

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

Fields of papers citing papers by Jason Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Lei

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

All Works

13 of 13 papers shown
1.
Chen, Chih‐Jung, Ting‐Hao Chen, Jason Lei, et al.. (2022). Correlation of ER, PR, and HER2 at the protein and mRNA levels in Asian patients with operable breast cancer. Bioscience Reports. 42(1). 6 indexed citations
2.
Chen, Ting‐Hao, et al.. (2021). A Clinicogenetic Prognostic Classifier for Prediction of Recurrence and Survival in Asian Breast Cancer Patients. Frontiers in Oncology. 11. 645853–645853. 2 indexed citations
3.
Lei, Jason, et al.. (2019). Stoma Bridge Types and Their Impact on Patient Outcomes. Journal of Wound Ostomy and Continence Nursing. 46(4). 309–313. 5 indexed citations
4.
Yang, Po‐Sheng, Yi‐Hsuan Lee, Yuan‐Ching Chang, et al.. (2019). A preliminary report of head-to-head comparison of 18-gene-based clinical-genomic model and oncotype DX 21-gene assay for predicting recurrence of early-stage breast cancer. Japanese Journal of Clinical Oncology. 49(11). 1029–1036. 9 indexed citations
5.
Bianchi, Elisa, et al.. (2018). Negative Pressure Wound Therapy Is Beneficial in the Treatment of Pilonidal Disease. Journal of the American College of Surgeons. 227(4). e109–e110. 5 indexed citations
6.
Huang, Tzu‐Ting, et al.. (2018). Gene expression profiling in prognosis of distant recurrence in HR-positive and HER2-negative breast cancer patients. Oncotarget. 9(33). 23173–23182. 5 indexed citations
9.
Németh, Zoltán H., et al.. (2016). Experience of General Surgery Residents in the Creation of Small Bowel and Colon Anastomoses. Journal of surgical education. 73(5). 844–850. 8 indexed citations
11.
Sugaru, Eiji, et al.. (2010). Weight loss and lipolysis promote a dynamic immune response in murine adipose tissue. Journal of Clinical Investigation. 120(10). 3466–3479. 562 indexed citations breakdown →
12.
Lei, Jason, Micheal Leser, & Essam Enan. (2009). Nematicidal activity of two monoterpenoids and SER-2 tyramine receptor of Caenorhabditis elegans. Biochemical Pharmacology. 79(7). 1062–1071. 70 indexed citations
13.
Campbell, Bruce, et al.. (2004). Nucleic Acid Testing Using Surface Plasmon Resonance Fluorescence Detection. Clinical Chemistry. 50(10). 1942–1943. 6 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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