Huimin Ran

2.0k total citations · 1 hit paper
19 papers, 1.6k citations indexed

About

Huimin Ran is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Huimin Ran has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Physiology and 7 papers in Cell Biology. Recurrent topics in Huimin Ran's work include Lysosomal Storage Disorders Research (12 papers), Cellular transport and secretion (7 papers) and Glycosylation and Glycoproteins Research (4 papers). Huimin Ran is often cited by papers focused on Lysosomal Storage Disorders Research (12 papers), Cellular transport and secretion (7 papers) and Glycosylation and Glycoproteins Research (4 papers). Huimin Ran collaborates with scholars based in United States, China and Japan. Huimin Ran's co-authors include Gee W. Lau, Daniel J. Hassett, Fansheng Kong, Dmitri V. Mavrodi, Gregory A. Grabowski, David P. Witte, Brian Quinn, Yunpeng Sun, Benjamin Liou and Yuanhui Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Huimin Ran

17 papers receiving 1.5k citations

Hit Papers

The role of pyocyanin in Pseudomonas aeruginosa infection 2004 2026 2011 2018 2004 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
Huimin Ran United States 15 991 433 294 287 174 19 1.6k
Natalia V. Kirienko United States 27 1.8k 1.8× 211 0.5× 328 1.1× 181 0.6× 254 1.5× 58 2.7k
Mårten Hammar Sweden 9 1.2k 1.3× 501 1.2× 95 0.3× 123 0.4× 346 2.0× 10 1.9k
Seon Young Choi South Korea 25 632 0.6× 177 0.4× 151 0.5× 30 0.1× 133 0.8× 48 2.0k
Francisco Barja Switzerland 13 829 0.8× 150 0.3× 152 0.5× 81 0.3× 228 1.3× 21 1.3k
Ilya Shamovsky United States 16 1.1k 1.1× 135 0.3× 82 0.3× 104 0.4× 263 1.5× 23 1.6k
Simon P. Hardy United Kingdom 23 1.1k 1.1× 83 0.2× 39 0.1× 52 0.2× 203 1.2× 42 1.8k
Dzwokai Ma United States 16 1.2k 1.3× 56 0.1× 804 2.7× 218 0.8× 513 2.9× 23 2.3k
Shijie Wang China 21 758 0.8× 39 0.1× 182 0.6× 41 0.1× 99 0.6× 72 1.5k
Hyejin Jeon South Korea 20 428 0.4× 106 0.2× 165 0.6× 43 0.1× 63 0.4× 64 1.1k
M. R. Pollock Tanzania 25 860 0.9× 74 0.2× 292 1.0× 67 0.2× 256 1.5× 61 1.7k

Countries citing papers authored by Huimin Ran

Since Specialization
Citations

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

Fields of papers citing papers by Huimin Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huimin Ran

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

All Works

19 of 19 papers shown
1.
Wang, Shiguang, Lihua Fang, Marie‐Luce Chevalier, et al.. (2025). Seismogenic fault model of the 2024 Mw 7.0 Wushi earthquake, western China, from geomorphology and aftershock relocation. Geological Society of America Bulletin.
2.
Dong, Jintao, Huimin Ran, Ding Wen Wu, et al.. (2025). BMSCs-targeting piezoelectric stimulation and immunomodulatory dual-functional hydrogel for promoting diabetic bone regeneration. Materials Today Bio. 33. 102015–102015.
3.
Xu, Tao, Dandan Tan, You Wang, et al.. (2024). Targeted sonogenetic modulation of GABAergic interneurons in the hippocampal CA1 region in status epilepticus. Theranostics. 14(16). 6373–6391. 1 indexed citations
4.
Liou, Benjamin, Wujuan Zhang, Brian Quinn, et al.. (2019). Combination of acid β-glucosidase mutation and Saposin C deficiency in mice reveals Gba1 mutation dependent and tissue-specific disease phenotype. Scientific Reports. 9(1). 5571–5571. 14 indexed citations
5.
Sun, Ying, Christopher N. Mayhew, Zhanfeng Jia, et al.. (2015). Properties of Neurons Derived from Induced Pluripotent Stem Cells of Gaucher Disease Type 2 Patient Fibroblasts: Potential Role in Neuropathology. PLoS ONE. 10(3). e0118771–e0118771. 37 indexed citations
6.
Sun, Ying, Yongping Xu, Hong Du, et al.. (2014). Reversal of advanced disease in lysosomal acid lipase deficient mice: A model for lysosomal acid lipase deficiency disease. Molecular Genetics and Metabolism. 112(3). 229–241. 24 indexed citations
7.
Sun, Ying, Huimin Ran, Wujuan Zhang, et al.. (2013). Tissue-specific effects of saposin A and saposin B on glycosphingolipid degradation in mutant mice. Human Molecular Genetics. 22(12). 2435–2450. 14 indexed citations
8.
Xu, Yuanhui, Yunpeng Sun, Huimin Ran, et al.. (2011). Accumulation and distribution of α-synuclein and ubiquitin in the CNS of Gaucher disease mouse models. Molecular Genetics and Metabolism. 102(4). 436–447. 119 indexed citations
9.
Sun, Ying, Huimin Ran, Benjamin Liou, et al.. (2011). Isofagomine In Vivo Effects in a Neuronopathic Gaucher Disease Mouse. PLoS ONE. 6(4). e19037–e19037. 50 indexed citations
11.
Sun, Yunpeng, Huimin Ran, Kazuyuki Kitatani, et al.. (2009). Specific saposin C deficiency: CNS impairment and acid  -glucosidase effects in the mouse. Human Molecular Genetics. 19(4). 634–647. 31 indexed citations
12.
Sun, Ying, Benjamin Liou, Brian Quinn, et al.. (2009). In Vivo and Ex Vivo Evaluation of L-Type Calcium Channel Blockers on Acid β-Glucosidase in Gaucher Disease Mouse Models. PLoS ONE. 4(10). e7320–e7320. 12 indexed citations
13.
Sun, Yunpeng, David P. Witte, Huimin Ran, et al.. (2008). Neurological deficits and glycosphingolipid accumulation in saposin B deficient mice. Human Molecular Genetics. 17(15). 2345–2356. 33 indexed citations
14.
Sun, Ying, Jia Li, Michael T. Williams, et al.. (2008). Temporal gene expression profiling reveals CEBPD as a candidate regulator of brain disease in prosaposin deficient mice. BMC Neuroscience. 9(1). 76–76. 16 indexed citations
15.
Sun, Ying, David P. Witte, Huimin Ran, et al.. (2007). Combined saposin C and D deficiencies in mice lead to a neuronopathic phenotype, glucosylceramide and α-hydroxy ceramide accumulation, and altered prosaposin trafficking. Human Molecular Genetics. 16(8). 957–971. 33 indexed citations
16.
Kong, Fansheng, Lisa R. Young, Yi Chen, et al.. (2006). Pseudomonas aeruginosa pyocyanin inactivates lung epithelial vaculoar ATPase-dependent cystic fibrosis transmembrane conductance regulator expression and localization. Cellular Microbiology. 8(7). 1121–1133. 41 indexed citations
17.
Lau, Gee W., Daniel J. Hassett, Huimin Ran, & Fansheng Kong. (2004). The role of pyocyanin in Pseudomonas aeruginosa infection. Trends in Molecular Medicine. 10(12). 599–606. 582 indexed citations breakdown →
18.
Lau, Gee W., Huimin Ran, Fansheng Kong, Daniel J. Hassett, & Dmitri V. Mavrodi. (2004). Pseudomonas aeruginosa Pyocyanin Is Critical for Lung Infection in Mice. Infection and Immunity. 72(7). 4275–4278. 296 indexed citations
19.
Ran, Huimin, Daniel J. Hassett, & Gee W. Lau. (2003). Human targets of Pseudomonas aeruginosa pyocyanin. Proceedings of the National Academy of Sciences. 100(24). 14315–14320. 150 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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