Hongying Shen

3.9k total citations
43 papers, 2.1k citations indexed

About

Hongying Shen is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Hongying Shen has authored 43 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Cell Biology and 7 papers in Genetics. Recurrent topics in Hongying Shen's work include Mitochondrial Function and Pathology (7 papers), Cellular transport and secretion (7 papers) and Forensic and Genetic Research (5 papers). Hongying Shen is often cited by papers focused on Mitochondrial Function and Pathology (7 papers), Cellular transport and secretion (7 papers) and Forensic and Genetic Research (5 papers). Hongying Shen collaborates with scholars based in United States, China and Japan. Hongying Shen's co-authors include Pietro De Camilli, Shawn M. Ferguson, Vamsi K. Mootha, Ottavio Cremona, Summer Paradise, Andrea Raimondi, Ryan J. Park, Xinran Liu, Lijuan Liu and Zenon Grabarek and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Hongying Shen

43 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongying Shen United States 21 1.4k 826 250 244 188 43 2.1k
Hideki Shibata Japan 33 2.1k 1.5× 1.5k 1.8× 286 1.1× 171 0.7× 192 1.0× 83 2.9k
Christoph S. Clemen Germany 29 1.4k 1.0× 856 1.0× 198 0.8× 93 0.4× 142 0.8× 89 2.1k
Karin Sadoul France 26 1.9k 1.3× 774 0.9× 187 0.7× 198 0.8× 115 0.6× 43 2.6k
Christine Salaün United Kingdom 22 1.2k 0.9× 629 0.8× 183 0.7× 277 1.1× 143 0.8× 30 1.9k
Natalie Elia Israel 23 1.6k 1.1× 837 1.0× 312 1.2× 168 0.7× 110 0.6× 50 2.3k
York Posor Germany 13 1.3k 0.9× 916 1.1× 223 0.9× 158 0.6× 156 0.8× 18 1.8k
Fabien Alpy France 25 1.6k 1.1× 749 0.9× 233 0.9× 120 0.5× 165 0.9× 50 2.2k
Thomas Burgoyne United Kingdom 24 1.0k 0.7× 435 0.5× 159 0.6× 240 1.0× 120 0.6× 64 1.7k
Karl‐Johan Leuchowius Sweden 11 2.3k 1.6× 616 0.7× 211 0.8× 192 0.8× 363 1.9× 15 3.2k
Gérard Joberty United States 20 1.9k 1.3× 1.1k 1.4× 202 0.8× 213 0.9× 114 0.6× 22 2.5k

Countries citing papers authored by Hongying Shen

Since Specialization
Citations

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

Fields of papers citing papers by Hongying Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongying Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Hongying Shen. A scholar is included among the top collaborators of Hongying Shen 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 Hongying Shen. Hongying Shen 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.
Liu, Ran, Zihan Zhang, Aye Kyaw, et al.. (2025). Cellular pan-chain acyl-CoA profiling reveals SLC25A42/SLC25A16 in mitochondrial CoA import and metabolism. Nature Metabolism. 7(9). 1871–1888. 1 indexed citations
2.
Hung, Yu-Hsin, Hongying Shen, & Chia‐Yen Lee. (2024). Deep reinforcement learning-based preventive maintenance for repairable machines with deterioration in a flow line system. Annals of Operations Research. 1 indexed citations
3.
Li, Yanwei, Chun Guo, Qiong Huang, et al.. (2024). Exploration for sorting serum exosome as a measure of spinal cord injury severity. SHILAP Revista de lepidopterología. 17(3). 101048–101048. 1 indexed citations
4.
Skinner, Owen S., Russell P. Goodman, Akinori Kawakami, et al.. (2023). Salvage of ribose from uridine or RNA supports glycolysis in nutrient-limited conditions. Nature Metabolism. 5(5). 765–776. 49 indexed citations
6.
Shi, Xiaojian, Hardik Shah, Tsz‐Leung To, et al.. (2022). Combinatorial GxGxE CRISPR screen identifies SLC25A39 in mitochondrial glutathione transport linking iron homeostasis to OXPHOS. Nature Communications. 13(1). 2483–2483. 60 indexed citations
7.
Moen, Jack M., Kyle Mohler, Svetlana Rogulina, et al.. (2022). Enhanced access to the human phosphoproteome with genetically encoded phosphothreonine. Nature Communications. 13(1). 7226–7226. 9 indexed citations
8.
Zhang, Xuelian, Hui Zhou, Hongying Shen, & Mingli Wang. (2022). Pulmonary infection in traumatic brain injury patients undergoing tracheostomy: predicators and nursing care. BMC Pulmonary Medicine. 22(1). 130–130. 18 indexed citations
9.
Guillén-Samander, Andrés, et al.. (2021). Correction: VPS13D bridges the ER to mitochondria and peroxisomes via Miro. The Journal of Cell Biology. 220(8). 7 indexed citations
10.
Guillén-Samander, Andrés, et al.. (2021). VPS13D bridges the ER to mitochondria and peroxisomes via Miro. The Journal of Cell Biology. 220(5). 116 indexed citations
11.
Ruetz, Markus, Gregory C. Campanello, Hongying Shen, et al.. (2019). Itaconyl-CoA forms a stable biradical in methylmalonyl-CoA mutase and derails its activity and repair. Science. 366(6465). 589–593. 77 indexed citations
12.
Liu, Feng, et al.. (2019). Validation of a multiplex amplification system of 19 autosomal STRs and 27 Y-STRs. Forensic Sciences Research. 5(4). 292–299. 2 indexed citations
13.
Wang, Liang Wei, Hongying Shen, Luís Nobre, et al.. (2019). Epstein-Barr-Virus-Induced One-Carbon Metabolism Drives B Cell Transformation. Cell Metabolism. 30(3). 539–555.e11. 128 indexed citations
14.
Calvo, Sarah E., Olivier Julien, Karl R. Clauser, et al.. (2017). Comparative Analysis of Mitochondrial N-Termini from Mouse, Human, and Yeast. Molecular & Cellular Proteomics. 16(4). 512–523. 66 indexed citations
15.
Guo, Fei, et al.. (2013). Development of a 24-locus multiplex system to incorporate the core loci in the Combined DNA Index System (CODIS) and the European Standard Set (ESS). Forensic Science International Genetics. 8(1). 44–54. 13 indexed citations
16.
Shen, Hongying, Michelle Pirruccello, & Pietro De Camilli. (2012). SnapShot: Membrane Curvature Sensors and Generators. Cell. 150(6). 1300–1300.e2. 45 indexed citations
17.
Milošević, Ira, Silvia Giovedı̀, Xuelin Lou, et al.. (2011). Recruitment of Endophilin to Clathrin-Coated Pit Necks Is Required for Efficient Vesicle Uncoating after Fission. Neuron. 72(4). 587–601. 245 indexed citations
18.
Ferguson, Shawn M., Andrea Raimondi, Summer Paradise, et al.. (2010). Coordinated Actions of Actin and BAR Proteins Upstream of Dynamin at Endocytic Clathrin-Coated Pits. Developmental Cell. 18(2). 332–332. 4 indexed citations
19.
Shen, Hongying, Shawn M. Ferguson, Noah Dephoure, et al.. (2010). Constitutive activated Cdc42-associated kinase (Ack) phosphorylation at arrested endocytic clathrin-coated pits of cells that lack dynamin. Molecular Biology of the Cell. 22(4). 493–502. 32 indexed citations
20.
Ferguson, Shawn M., Andrea Raimondi, Summer Paradise, et al.. (2009). Coordinated Actions of Actin and BAR Proteins Upstream of Dynamin at Endocytic Clathrin-Coated Pits. Developmental Cell. 17(6). 811–822. 336 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026