Richard J. Youle

84.9k total citations · 38 hit papers
239 papers, 63.1k citations indexed

About

Richard J. Youle is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Richard J. Youle has authored 239 papers receiving a total of 63.1k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Molecular Biology, 80 papers in Immunology and 64 papers in Epidemiology. Recurrent topics in Richard J. Youle's work include Mitochondrial Function and Pathology (84 papers), Toxin Mechanisms and Immunotoxins (66 papers) and Autophagy in Disease and Therapy (60 papers). Richard J. Youle is often cited by papers focused on Mitochondrial Function and Pathology (84 papers), Toxin Mechanisms and Immunotoxins (66 papers) and Autophagy in Disease and Therapy (60 papers). Richard J. Youle collaborates with scholars based in United States, United Kingdom and Germany. Richard J. Youle's co-authors include Derek P. Narendra, Andreas Strasser, Chunxin Wang, Mariusz Karbowski, Alexander M. van der Bliek, Atsushi Tanaka, Der‐Fen Suen, Yi‐Te Hsu, Seok Min Jin and Alicia M. Pickrell and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Richard J. Youle

238 papers receiving 62.3k citations

Hit Papers

The BCL-2 protein family: opposing activities that mediat... 1997 2026 2006 2016 2007 2008 2012 2010 2010 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard J. Youle United States 103 43.9k 20.3k 7.5k 7.4k 6.7k 239 63.1k
Keiji Tanaka Japan 112 37.9k 0.9× 19.9k 1.0× 4.3k 0.6× 4.8k 0.6× 6.8k 1.0× 428 55.1k
Beth Levine United States 106 38.4k 0.9× 55.2k 2.7× 7.3k 1.0× 3.4k 0.5× 9.4k 1.4× 187 83.7k
Noboru Mizushima Japan 124 42.9k 1.0× 67.1k 3.3× 9.3k 1.2× 5.1k 0.7× 8.9k 1.3× 272 94.2k
Junying Yuan United States 103 36.5k 0.8× 10.9k 0.5× 4.3k 0.6× 2.6k 0.3× 10.4k 1.5× 254 52.9k
Daniel J. Klionsky United States 133 42.5k 1.0× 51.1k 2.5× 6.5k 0.9× 4.3k 0.6× 5.0k 0.7× 519 81.9k
Masaaki Komatsu Japan 89 21.8k 0.5× 29.0k 1.4× 5.8k 0.8× 3.5k 0.5× 3.9k 0.6× 227 45.7k
Ana María Cuervo United States 112 21.1k 0.5× 30.4k 1.5× 12.3k 1.6× 7.3k 1.0× 2.8k 0.4× 252 52.5k
Tamotsu Yoshimori Japan 95 24.4k 0.6× 38.0k 1.9× 5.5k 0.7× 2.6k 0.3× 5.9k 0.9× 246 55.8k
Michael P. Murphy United Kingdom 121 33.6k 0.8× 5.1k 0.2× 12.0k 1.6× 2.2k 0.3× 4.6k 0.7× 535 56.2k
Alfred L. Goldberg United States 138 49.6k 1.1× 10.2k 0.5× 11.9k 1.6× 1.6k 0.2× 6.7k 1.0× 369 67.3k

Countries citing papers authored by Richard J. Youle

Since Specialization
Citations

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

Fields of papers citing papers by Richard J. Youle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard J. Youle. 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 Richard J. Youle. The network helps show where Richard J. Youle may publish in the future.

Co-authorship network of co-authors of Richard J. Youle

This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. Youle. A scholar is included among the top collaborators of Richard J. Youle 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 Richard J. Youle. Richard J. Youle 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.
Pemberton, Joshua G., Krishnendu Roy, Yeun Ju Kim, et al.. (2025). Acute diacylglycerol production activates critical membrane-shaping proteins leading to mitochondrial tubulation and fission. Nature Communications. 16(1). 2685–2685. 4 indexed citations
2.
Fischer, Tara D., Eric Bunker, Peng-Peng Zhu, et al.. (2024). STING induces HOIP-mediated synthesis of M1 ubiquitin chains to stimulate NF-κB signaling. The EMBO Journal. 44(1). 141–165. 6 indexed citations
3.
Bunker, Eric, François Le Guerroué, Chunxin Wang, et al.. (2023). Nix interacts with WIPI2 to induce mitophagy. The EMBO Journal. 42(22). e113491–e113491. 27 indexed citations
4.
Wang, Chunxin & Richard J. Youle. (2022). Mitochondria and peroxisomes are NIXed for clearance. The EMBO Journal. 41(24). e112918–e112918.
5.
Wang, Chunxin, Gil Kanfer, Antonio Velayos‐Baeza, et al.. (2021). VPS13D promotes peroxisome biogenesis. The Journal of Cell Biology. 220(5). 52 indexed citations
6.
Kanfer, Gil, Shireen A. Sarraf, Yaakov Maman, et al.. (2020). Image-based pooled whole-genome CRISPRi screening for subcellular phenotypes. The Journal of Cell Biology. 220(2). 49 indexed citations
7.
Shi, Xiaoshan, Adam L. Yokom, Chunxin Wang, et al.. (2020). ULK complex organization in autophagy by a C-shaped FIP200 N-terminal domain dimer. The Journal of Cell Biology. 219(7). 64 indexed citations
8.
Yamano, Koji & Richard J. Youle. (2020). Two different axes CALCOCO2-RB1CC1 and OPTN-ATG9A initiate PRKN-mediated mitophagy. Autophagy. 16(11). 2105–2107. 35 indexed citations
10.
Yamano, Koji, Chunxin Wang, Shireen A. Sarraf, et al.. (2018). Endosomal Rab cycles regulate Parkin-mediated mitophagy. eLife. 7. 127 indexed citations
11.
Stolz, Alexandra, Mateusz Putyrski, Jessica Huber, et al.. (2016). Fluorescence‐based ATG 8 sensors monitor localization and function of LC 3/ GABARAP proteins. The EMBO Journal. 36(4). 549–564. 36 indexed citations
12.
Pickrell, Alicia M. & Richard J. Youle. (2015). The Roles of PINK1, Parkin, and Mitochondrial Fidelity in Parkinson’s Disease. Neuron. 85(2). 257–273. 1652 indexed citations breakdown →
13.
Kane, Lesley A., Michael Lazarou, Adam I. Fogel, et al.. (2014). PINK1 phosphorylates ubiquitin to activate Parkin E3 ubiquitin ligase activity. The Journal of Cell Biology. 205(2). 143–153. 991 indexed citations breakdown →
14.
Narendra, Derek P., Seok Min Jin, Atsushi Tanaka, et al.. (2010). PINK1 Is Selectively Stabilized on Impaired Mitochondria to Activate Parkin. PLoS Biology. 8(1). e1000298–e1000298. 2261 indexed citations breakdown →
15.
Jin, Seok Min, Michael Lazarou, Chunxin Wang, et al.. (2010). Mitochondrial membrane potential regulates PINK1 import and proteolytic destabilization by PARL. The Journal of Cell Biology. 191(5). 933–942. 1050 indexed citations breakdown →
16.
Karbowski, Mariusz, Damien Arnoult, Hsiuchen Chen, et al.. (2004). Quantitation of mitochondrial dynamics by photolabeling of individual organelles shows that mitochondrial fusion is blocked during the Bax activation phase of apoptosis. The Journal of Cell Biology. 164(4). 493–499. 357 indexed citations
17.
Lee, Yang-ja, Seon‐Yong Jeong, Mariusz Karbowski, Carolyn L. Smith, & Richard J. Youle. (2004). Roles of the Mammalian Mitochondrial Fission and Fusion Mediators Fis1, Drp1, and Opa1 in Apoptosis. Molecular Biology of the Cell. 15(11). 5001–5011. 883 indexed citations breakdown →
18.
Youle, Richard J.. (1988). Toxin selection and modification — Overview. Cancer treatment and research. 37. 93–96. 1 indexed citations
20.
Youle, Richard J. & Anthony H. C. Huang. (1976). Protein Bodies from the Endosperm of Castor Bean. PLANT PHYSIOLOGY. 58(6). 703–709. 87 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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