Dejian Ren

9.2k total citations · 3 hit papers
58 papers, 6.7k citations indexed

About

Dejian Ren is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dejian Ren has authored 58 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 19 papers in Physiology and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dejian Ren's work include Ion channel regulation and function (23 papers), Calcium signaling and nucleotide metabolism (18 papers) and Sperm and Testicular Function (11 papers). Dejian Ren is often cited by papers focused on Ion channel regulation and function (23 papers), Calcium signaling and nucleotide metabolism (18 papers) and Sperm and Testicular Function (11 papers). Dejian Ren collaborates with scholars based in United States, China and Canada. Dejian Ren's co-authors include Haoxing Xu, David E. Clapham, Betsy Navarro, Jingsheng Xia, Chunlei Cang, David L. Garbers, Timothy A. Quill, Kimberly Aranda, Gloria I. Perez and Alexander C. Jackson and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Dejian Ren

54 papers receiving 6.7k citations

Hit Papers

Lysosomal Physiology 2001 2026 2009 2017 2015 2001 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dejian Ren United States 36 2.8k 1.7k 1.7k 1.4k 1.4k 58 6.7k
F. Anthony Lai United Kingdom 56 6.7k 2.4× 1.1k 0.6× 2.8k 1.7× 2.2k 1.6× 3.5k 2.4× 191 10.7k
Betsy Navarro United States 22 2.0k 0.7× 587 0.3× 1.8k 1.0× 1.1k 0.7× 1.4k 1.0× 23 4.6k
Lonny R. Levin United States 52 5.7k 2.0× 530 0.3× 1.2k 0.7× 1.6k 1.1× 1.1k 0.8× 124 9.5k
Katsuhiko Mikoshiba Japan 65 9.0k 3.2× 877 0.5× 548 0.3× 2.5k 1.7× 933 0.7× 205 12.6k
Polina V. Lishko United States 32 1.6k 0.6× 306 0.2× 1.8k 1.1× 575 0.4× 1.5k 1.0× 57 4.4k
Yuriy Kirichok United States 22 2.6k 0.9× 375 0.2× 1.9k 1.1× 737 0.5× 1.5k 1.1× 35 5.5k
Richard A. Steinhardt United States 50 6.4k 2.3× 726 0.4× 723 0.4× 2.6k 1.8× 1.1k 0.8× 88 10.7k
Alberto Darszon Mexico 58 4.0k 1.4× 1.2k 0.7× 5.4k 3.2× 1.9k 1.3× 4.2k 3.0× 241 10.0k
Donner F. Babcock United States 39 2.7k 1.0× 624 0.4× 2.7k 1.6× 1.1k 0.8× 2.2k 1.5× 50 5.9k
G. Stanley McKnight United States 76 10.9k 3.8× 359 0.2× 1.2k 0.7× 3.8k 2.7× 885 0.6× 164 16.8k

Countries citing papers authored by Dejian Ren

Since Specialization
Citations

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

Fields of papers citing papers by Dejian Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dejian Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Dejian Ren. A scholar is included among the top collaborators of Dejian Ren 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 Dejian Ren. Dejian Ren 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.
Mindell, Joseph A., et al.. (2025). TMEM175 does not function as a proton-selective ion channel to prevent lysosomal over-acidification. The Journal of Cell Biology. 225(1). 1 indexed citations
2.
Ren, Dejian, et al.. (2025). Artificial intelligence coaches on the sidelines: Evaluating readability and quality of soccer training plans from six generative models. International Journal of Sports Science & Coaching. 21(1). 75–81.
3.
Zeng, Wenping, Canjun Li, Wenqi Hu, et al.. (2021). CLN7 is an organellar chloride channel regulating lysosomal function. Science Advances. 7(51). eabj9608–eabj9608. 35 indexed citations
4.
Wie, Jinhong, Zhenjiang Liu, Thomas F. Tropea, et al.. (2021). Author Correction: A growth-factor-activated lysosomal K+ channel regulates Parkinson’s pathology. Nature. 592(7855). E10–E10. 3 indexed citations
5.
Wie, Jinhong, Zhenjiang Liu, Thomas F. Tropea, et al.. (2021). A growth-factor-activated lysosomal K+ channel regulates Parkinson’s pathology. Nature. 591(7850). 431–437. 86 indexed citations
6.
Freeman, Spencer A., Stefan Uderhardt, Amra Sarić, et al.. (2019). Lipid-gated monovalent ion fluxes regulate endocytic traffic and support immune surveillance. Science. 367(6475). 301–305. 104 indexed citations
7.
Huang, Wei‐Hsiang, Wei Wang, Christopher Ward, et al.. (2017). Respiratory Network Stability and Modulatory Response to Substance P Require Nalcn. Neuron. 94(2). 294–303.e4. 46 indexed citations
8.
Flourakis, Matthieu, Elżbieta Kula-Eversole, Alan L. Hutchison, et al.. (2015). A Conserved Bicycle Model for Circadian Clock Control of Membrane Excitability. Cell. 162(4). 836–848. 149 indexed citations
9.
Stray‐Pedersen, Asbjørg, Jan-Maarten Cobben, Trine Prescott, et al.. (2015). Biallelic Mutations in UNC80 Cause Persistent Hypotonia, Encephalopathy, Growth Retardation, and Severe Intellectual Disability. The American Journal of Human Genetics. 98(1). 202–209. 35 indexed citations
10.
Cang, Chunlei, Kimberly Aranda, Young‐Jun Seo, Bruno Gasnier, & Dejian Ren. (2015). TMEM175 Is an Organelle K+ Channel Regulating Lysosomal Function. Cell. 162(5). 1101–1112. 173 indexed citations
11.
Cang, Chunlei, et al.. (2014). The voltage-gated sodium channel TPC1 confers endolysosomal excitability. Nature Chemical Biology. 10(6). 463–469. 138 indexed citations
12.
Cang, Chunlei, Yandong Zhou, Betsy Navarro, et al.. (2013). mTOR Regulates Lysosomal ATP-Sensitive Two-Pore Na+ Channels to Adapt to Metabolic State. Cell. 152(4). 778–790. 292 indexed citations
13.
Wang, Xiang, Xiaoli Zhang, Xian‐Ping Dong, et al.. (2012). TPC Proteins Are Phosphoinositide- Activated Sodium-Selective Ion Channels in Endosomes and Lysosomes. Cell. 151(2). 372–383. 419 indexed citations breakdown →
14.
Ren, Dejian. (2011). Sodium Leak Channels in Neuronal Excitability and Rhythmic Behaviors. Neuron. 72(6). 899–911. 116 indexed citations
15.
Lu, Boxun, Qi Zhang, Haikun Wang, et al.. (2010). Extracellular Calcium Controls Background Current and Neuronal Excitability via an UNC79-UNC80-NALCN Cation Channel Complex. Neuron. 68(3). 488–499. 152 indexed citations
16.
Ren, Dejian. (2010). Sperm and the Proton Channel. New England Journal of Medicine. 362(20). 1934–1935. 4 indexed citations
17.
Lu, Boxun, Yanhua Su, Sudipto Das, et al.. (2008). Peptide neurotransmitters activate a cation channel complex of NALCN and UNC-80. Nature. 457(7230). 741–744. 123 indexed citations
18.
Xia, Jingsheng, David Reigada, Claire H. Mitchell, & Dejian Ren. (2007). CATSPER Channel-Mediated Ca2+ Entry into Mouse Sperm Triggers a Tail-to-Head Propagation1. Biology of Reproduction. 77(3). 551–559. 117 indexed citations
19.
Ren, Dejian, Betsy Navarro, Haoxing Xu, et al.. (2001). A Prokaryotic Voltage-Gated Sodium Channel. Science. 294(5550). 2372–2375. 381 indexed citations
20.
Ren, Dejian, Betsy Navarro, Gloria I. Perez, et al.. (2001). A sperm ion channel required for sperm motility and male fertility. Nature. 413(6856). 603–609. 743 indexed citations breakdown →

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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