Wen-Lang Lin

5.0k total citations · 2 hit papers
11 papers, 3.1k citations indexed

About

Wen-Lang Lin is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Wen-Lang Lin has authored 11 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 4 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Wen-Lang Lin's work include Alzheimer's disease research and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Wen-Lang Lin is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Wen-Lang Lin collaborates with scholars based in United States, Japan and Taiwan. Wen-Lang Lin's co-authors include Dennis W. Dickson, Eileen McGowan, John Hardy, Jada Lewis, Mike Hutton, Lisa Skipper, Shu‐Hui Yen, Debra Yager, Chris Eckman and Naruhiko Sahara and has published in prestigious journals such as Science, Journal of Biological Chemistry and Neuron.

In The Last Decade

Wen-Lang Lin

11 papers receiving 3.0k citations

Hit Papers

Enhanced Neurofibrillary Degeneration in Transgenic Mice ... 2000 2026 2008 2017 2001 2000 400 800 1.2k

Peers

Wen-Lang Lin
Sylvain Lesné United States
John J. LaFrancois United States
Erin E. Congdon United States
Cindy Zehr United States
Kang Hu United States
Sylvain Lesné United States
Wen-Lang Lin
Citations per year, relative to Wen-Lang Lin Wen-Lang Lin (= 1×) peers Sylvain Lesné

Countries citing papers authored by Wen-Lang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Wen-Lang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen-Lang Lin. 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 Wen-Lang Lin. The network helps show where Wen-Lang Lin may publish in the future.

Co-authorship network of co-authors of Wen-Lang Lin

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

All Works

11 of 11 papers shown
1.
Bieniek, Kevin F., Keith A. Josephs, Wen-Lang Lin, & Dennis W. Dickson. (2020). Neuronal intermediate filament inclusion disease may be incorrectly classified as a subtype of FTLD-FUS. SHILAP Revista de lepidopterología. 1. 9–9. 5 indexed citations
2.
Cheng, Ming‐Fang, et al.. (2016). Total body composition estimated by standing-posture 8-electrode bioelectrical impedance analysis in male wrestlers. Biology of Sport. 33(4). 399–405. 12 indexed citations
3.
Ogaki, Kotaro, Shunsuke Koga, Naoya Aoki, et al.. (2015). Adult‐onset cerebello‐brainstem dominant form of X‐linked adrenoleukodystrophy presenting as multiple system atrophy: case report and literature review. Neuropathology. 36(1). 64–76. 27 indexed citations
4.
Sahara, Naruhiko, et al.. (2014). O1‐08‐02: AGE‐RELATED WHITE MATTER PATHOGENESIS IN A MOUSE MODEL OF TAUOPATHY. Alzheimer s & Dementia. 10(4S_Part_1). 2 indexed citations
5.
Cannon, Ashley, Baoli Yang, Joshua A. Knight, et al.. (2012). Neuronal sensitivity to TDP-43 overexpression is dependent on timing of induction. Acta Neuropathologica. 123(6). 807–823. 45 indexed citations
6.
Ahmed, Zeshan, Sheng Hong, Yafei Xu, et al.. (2010). O1‐07‐01: Accelerated lipofuscinosis and ubiquitination in granulin knockout mice suggests a role for progranulin in successful aging. Alzheimer s & Dementia. 6(4S_Part_3). 5 indexed citations
7.
McGowan, Eileen, Fiona Pickford, Jungsu Kim, et al.. (2005). Aβ42 Is Essential for Parenchymal and Vascular Amyloid Deposition in Mice. Neuron. 47(2). 191–199. 468 indexed citations
8.
Kawarabayashi, Takeshi, Mikio Shoji, Linda H. Younkin, et al.. (2004). Dimeric Amyloid β Protein Rapidly Accumulates in Lipid Rafts followed by Apolipoprotein E and Phosphorylated Tau Accumulation in the Tg2576 Mouse Model of Alzheimer's Disease. Journal of Neuroscience. 24(15). 3801–3809. 306 indexed citations
9.
Lewis, Jada, Dennis W. Dickson, Wen-Lang Lin, et al.. (2001). Enhanced Neurofibrillary Degeneration in Transgenic Mice Expressing Mutant Tau and APP. Science. 293(5534). 1487–1491. 1203 indexed citations breakdown →
10.
Lewis, Jada, Eileen McGowan, Julia M. Rockwood, et al.. (2000). Neurofibrillary tangles, amyotrophy and progressive motor disturbance in mice expressing mutant (P301L) tau protein. Nature Genetics. 25(4). 402–405. 1036 indexed citations breakdown →
11.
Roth, Jerome A., Byung‐Gook Kim, Fei Song, Wen-Lang Lin, & Moon‐Il Cho. (1999). Melatonin promotes osteoblast differentiation and bone formation.. Journal of Biological Chemistry. 274(45). 32528–32528. 27 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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