Shinn‐Liang Lai

623 total citations
9 papers, 470 citations indexed

About

Shinn‐Liang Lai is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Shinn‐Liang Lai has authored 9 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 4 papers in Pulmonary and Respiratory Medicine and 2 papers in Molecular Biology. Recurrent topics in Shinn‐Liang Lai's work include Lung Cancer Research Studies (4 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Shinn‐Liang Lai is often cited by papers focused on Lung Cancer Research Studies (4 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Shinn‐Liang Lai collaborates with scholars based in Taiwan, Malaysia and United Kingdom. Shinn‐Liang Lai's co-authors include Wei‐Juin Su, Jaw‐Ching Wu, Shou‐Dong Lee, Shi‐Yi Yang, Herng‐Der Chern, Yi‐Shin Huang, Full‐Young Chang, Reury-Perng Perng, Jaulang Hwang and Jen-Fu Shih and has published in prestigious journals such as Hepatology, International Journal of Cancer and The Medical Journal of Australia.

In The Last Decade

Shinn‐Liang Lai

9 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shinn‐Liang Lai Taiwan 7 236 195 124 92 90 9 470
Hyun-Jung Cho South Korea 12 223 0.9× 128 0.7× 129 1.0× 48 0.5× 53 0.6× 25 493
Tom De Bruyn Belgium 12 217 0.9× 386 2.0× 117 0.9× 46 0.5× 62 0.7× 35 647
Ron van Schaik Netherlands 9 147 0.6× 113 0.6× 104 0.8× 48 0.5× 173 1.9× 29 553
Masato Horikawa Japan 14 188 0.8× 281 1.4× 144 1.2× 70 0.8× 38 0.4× 41 601
Matthew Hruska United States 11 143 0.6× 255 1.3× 117 0.9× 44 0.5× 66 0.7× 26 610
David E. Harbourt United States 7 203 0.9× 113 0.6× 162 1.3× 30 0.3× 82 0.9× 12 501
E. Musch Germany 14 84 0.4× 152 0.8× 127 1.0× 130 1.4× 85 0.9× 44 623
Daniel A.J. Bow United States 12 191 0.8× 407 2.1× 106 0.9× 43 0.5× 74 0.8× 17 604
Masataka Katashima Japan 13 104 0.4× 89 0.5× 108 0.9× 119 1.3× 104 1.2× 46 513
Lucy Meunier France 13 101 0.4× 124 0.6× 116 0.9× 122 1.3× 51 0.6× 44 546

Countries citing papers authored by Shinn‐Liang Lai

Since Specialization
Citations

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

Fields of papers citing papers by Shinn‐Liang Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shinn‐Liang Lai. 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 Shinn‐Liang Lai. The network helps show where Shinn‐Liang Lai may publish in the future.

Co-authorship network of co-authors of Shinn‐Liang Lai

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

All Works

9 of 9 papers shown
1.
Shih, Jen-Fu, et al.. (2020). Non–small cell lung cancer in the very young: Higher EGFR/ALK mutation proportion than the elder. Journal of the Chinese Medical Association. 83(5). 461–465. 13 indexed citations
2.
Lai, Shinn‐Liang, et al.. (2017). An Emerging Role of Pharmacist in Pre-chemotherapy Counseling Among Breast Cancer Patients. Indian Journal of Pharmaceutical Sciences. 79(2). 7 indexed citations
3.
Wu, Wen-Shuo, Shinn‐Liang Lai, Chao‐Hua Chiu, et al.. (2014). Erlotinib Salvage Therapy in Pulmonary Adenocarcinoma Patients With Disease Progression After Previous EGFR-TKI Treatment. American Journal of Clinical Oncology. 39(6). 556–562. 4 indexed citations
4.
Chiang, Chi‐Lu, Chun‐Ming Tsai, Teh‐Ying Chou, et al.. (2012). Erlotinib in patients with advanced lung squamous cell carcinoma. Cancer Chemotherapy and Pharmacology. 71(1). 203–208. 7 indexed citations
5.
Lai, Shinn‐Liang, et al.. (2006). Middle lobe syndrome as the pulmonary manifestation of primary Sjögrenˈs syndrome. The Medical Journal of Australia. 184(6). 294–295. 8 indexed citations
6.
Huang, Yi‐Shin, Herng‐Der Chern, Wei‐Juin Su, et al.. (2002). Polymorphism of the N -acetyltransferase 2 gene as a susceptibility risk factor for antituberculosis drug-induced hepatitis. Hepatology. 35(4). 883–889. 317 indexed citations
7.
Lai, Shinn‐Liang, Reury-Perng Perng, & Jaulang Hwang. (2000). p53 gene status modulates the chemosensitivity of non-small cell lung cancer cells. Journal of Biomedical Science. 7(1). 64–70. 66 indexed citations
8.
Lai, Shinn‐Liang, Reury-Perng Perng, & Jaulang Hwang. (2000). p53 Gene Status Modulates the Chemosensitivity of Non-Small Cell Lung Cancer Cells. Journal of Biomedical Science. 7(1). 64–70. 6 indexed citations
9.
Kim, Joo-Hang, Frederic J. Kaye, Jerry G. Henslee, et al.. (1992). Expression of carcinoembryonic antigen and related genes in lung and gastrointestinal cancers. International Journal of Cancer. 52(5). 718–725. 42 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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