Ming‐Jen Lee

5.5k total citations · 1 hit paper
91 papers, 4.1k citations indexed

About

Ming‐Jen Lee is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ming‐Jen Lee has authored 91 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 30 papers in Neurology and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ming‐Jen Lee's work include Ion channel regulation and function (12 papers), Neurofibromatosis and Schwannoma Cases (11 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (11 papers). Ming‐Jen Lee is often cited by papers focused on Ion channel regulation and function (12 papers), Neurofibromatosis and Schwannoma Cases (11 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (11 papers). Ming‐Jen Lee collaborates with scholars based in Taiwan, United States and United Kingdom. Ming‐Jen Lee's co-authors include Kai Wang, David Baxter, David J. Galas, David Huang, Kuo‐How Huang, Jessica A. Weber, Shile Zhang, Dennis A. Stephenson, Wen Fu and Horng‐Huei Liou and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Brain.

In The Last Decade

Ming‐Jen Lee

84 papers receiving 4.0k citations

Hit Papers

The MicroRNA Spectrum in 12 Body Fluids 2010 2026 2015 2020 2010 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Jen Lee Taiwan 27 2.6k 1.8k 535 344 304 91 4.1k
David Otaegui Spain 31 2.1k 0.8× 1.2k 0.7× 216 0.4× 224 0.7× 251 0.8× 86 3.1k
Katherine J. Ladner United States 22 2.5k 1.0× 757 0.4× 322 0.6× 1.1k 3.1× 230 0.8× 33 3.7k
Michele Purrello Italy 37 2.9k 1.1× 1.9k 1.1× 248 0.5× 182 0.5× 92 0.3× 104 4.3k
Marco Ragusa Italy 36 2.6k 1.0× 1.9k 1.1× 247 0.5× 122 0.4× 106 0.3× 95 3.9k
José Luís Rosa Spain 43 3.6k 1.4× 980 0.6× 201 0.4× 386 1.1× 236 0.8× 121 5.3k
Magali Saint‐Geniez United States 31 2.6k 1.0× 471 0.3× 172 0.3× 259 0.8× 354 1.2× 67 5.0k
Helen M. Arthur United Kingdom 42 3.3k 1.3× 674 0.4× 673 1.3× 469 1.4× 154 0.5× 101 6.5k
Ning Liu China 29 3.1k 1.2× 977 0.5× 97 0.2× 319 0.9× 157 0.5× 132 4.1k
Ting Lei China 30 1.0k 0.4× 375 0.2× 487 0.9× 266 0.8× 376 1.2× 234 3.3k
Gareth John United States 27 1.6k 0.6× 417 0.2× 481 0.9× 377 1.1× 729 2.4× 53 4.4k

Countries citing papers authored by Ming‐Jen Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Jen Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Jen Lee. 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 Ming‐Jen Lee. The network helps show where Ming‐Jen Lee may publish in the future.

Co-authorship network of co-authors of Ming‐Jen Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Jen Lee. A scholar is included among the top collaborators of Ming‐Jen Lee 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 Ming‐Jen Lee. Ming‐Jen Lee 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.
Chou, I‐Jun, Pi‐Chuan Fan, Chieh‐Tsai Wu, et al.. (2025). A consensus on the diagnosis and management of neurofibromatosis type 1 in Taiwan. Journal of the Formosan Medical Association.
2.
Lin, Kon‐Ping, Chih‐Chao Yang, Yi‐Chung Lee, et al.. (2024). Patisiran, an RNAi therapeutic for hereditary transthyretin-mediated amyloidosis: Sub-analysis in Taiwanese patients from the APOLLO study. Journal of the Formosan Medical Association. 123(9). 975–984. 2 indexed citations
3.
Lin, Chin‐Hsien, Ni‐Chung Lee, Tung‐Ming Chang, et al.. (2024). Unique clinical and electrophysiological features in the peripheral nerve system in patients with sialidosis – a case series study. Orphanet Journal of Rare Diseases. 19(1). 217–217.
4.
Lee, Ming‐Jen, et al.. (2023). A randomized, placebo-controlled study of givosiran in patients with acute hepatic porphyrias (ENVISION): Final (36-month) analysis of the Taiwan Cohort. Journal of the Formosan Medical Association. 123(6). 679–686. 1 indexed citations
5.
Liao, Ying‐Chih, et al.. (2023). FT895 Impairs Mitochondrial Function in Malignant Peripheral Nerve Sheath Tumor Cells. International Journal of Molecular Sciences. 25(1). 277–277. 1 indexed citations
6.
7.
Cassiman, David, Raili Kauppinen, Ming‐Jen Lee, et al.. (2022). EXPLORE B: A prospective, long‐term natural history study of patients with acute hepatic porphyria with chronic symptoms. Journal of Inherited Metabolic Disease. 45(6). 1163–1174. 14 indexed citations
8.
Jin, Lu E., et al.. (2020). Electrophysiological parameters that contribute to the pathogenesis of familial amyloid polyneuropathy caused by transthyretin mutations. Journal of the Neurological Sciences. 413. 116810–116810. 3 indexed citations
10.
Yang, Chih‐Chao, et al.. (2015). The Temporal Profiles of Changes in Nerve Excitability Indices in Familial Amyloid Polyneuropathy. PLoS ONE. 10(11). e0141935–e0141935. 13 indexed citations
11.
Lee, Ming‐Jen, Kuo‐Liong Chien, Yung‐Ming Chen, Dennis A. Stephenson, & Ta‐Chen Su. (2012). Overweight modulates APOE and APOA5 alleles on the risk of severe hypertriglyceridemia. Clinica Chimica Acta. 416. 31–35. 16 indexed citations
12.
Tang, Sung‐Chun, Jiann‐Shing Jeng, Ming‐Jen Lee, & Ping‐Keung Yip. (2009). Notch signaling and CADASIL.. PubMed. 18(2). 81–90. 10 indexed citations
13.
Xu, Weiguo, Shiro Soga, Kristen Beebe, et al.. (2007). Sensitivity of epidermal growth factor receptor and ErbB2 exon 20 insertion mutants to Hsp90 inhibition. British Journal of Cancer. 97(6). 741–744. 33 indexed citations
14.
Lee, Ming‐Jen & Dennis A. Stephenson. (2007). Recent developments in neurofibromatosis type 1. Current Opinion in Neurology. 20(2). 135–141. 77 indexed citations
15.
Lee, Ming‐Jen, Yi‐Ning Su, Huey‐Ling You, et al.. (2006). Identification of forty-five novel and twenty-three knownNF1 mutations in Chinese patients with neurofibromatosis type 1. Human Mutation. 27(8). 832–832. 28 indexed citations
16.
Hsu, Shu‐Hao, Ming‐Jen Lee, Song‐Chou Hsieh, Francesco Scaravilli, & Sung‐Tsang Hsieh. (2004). Cutaneous and sympathetic denervation in neonatal rats with a mutation in the delta subunit of the cytosolic chaperonin-containing t-complex peptide-1 gene. Neurobiology of Disease. 16(2). 335–345. 4 indexed citations
17.
Lee, Ming‐Jen, Dennis A. Stephenson, Michael J. Groves, et al.. (2003). Hereditary sensory neuropathy is caused by a mutation in the delta subunit of the cytosolic chaperonin-containing t-complex peptide-1 (Cct4 ) gene. Human Molecular Genetics. 12(15). 1917–1925. 43 indexed citations
18.
Lee, Ming‐Jen. (2002). Six novel connexin32 (GJB1) mutations in X-linked Charcot-Marie-Tooth disease. Journal of Neurology Neurosurgery & Psychiatry. 73(3). 304–306. 50 indexed citations
19.
Lee, Ming‐Jen & Mary M. Reilly. (2000). Genetic aspects of hereditary motor and sensory neuropathy. UCL Discovery (University College London). 2 indexed citations
20.
Lee, Ming‐Jen, et al.. (1985). PRELIMINARY ATTEMPT TO DIFFERENTIATE PINEWOOD NEMATODES (BURSAPHELENCHUS SPP.) BY ENZYME ELECTROPHORESIS.. Revue de nématologie. 8(1). 88–90. 14 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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