Xinnan Wang

4.9k total citations · 3 hit papers
48 papers, 3.6k citations indexed

About

Xinnan Wang is a scholar working on Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xinnan Wang has authored 48 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 12 papers in Epidemiology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xinnan Wang's work include Mitochondrial Function and Pathology (18 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Autophagy in Disease and Therapy (11 papers). Xinnan Wang is often cited by papers focused on Mitochondrial Function and Pathology (18 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Autophagy in Disease and Therapy (11 papers). Xinnan Wang collaborates with scholars based in United States, China and United Kingdom. Xinnan Wang's co-authors include Thomas L. Schwarz, Dominic Winter, Gülçin Pekkurnaz, Judith A. Steen, Sarah E. Rice, Yao Liang Wong, Ghazaleh Ashrafi, Dennis J. Selkoe, Matthew J. LaVoie and Julia S. Schlehe and has published in prestigious journals such as Cell, Nature Communications and Journal of Neuroscience.

In The Last Decade

Xinnan Wang

43 papers receiving 3.6k citations

Hit Papers

PINK1 and Parkin Target Miro for Phosphorylation and Degr... 2009 2026 2014 2020 2011 2009 2016 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
Xinnan Wang United States 22 2.3k 988 934 903 677 48 3.6k
Simone Engelender Israel 35 2.3k 1.0× 713 0.7× 1.5k 1.6× 1.9k 2.1× 689 1.0× 62 4.3k
Géraldine Liot France 21 2.2k 0.9× 377 0.4× 1.2k 1.3× 466 0.5× 443 0.7× 27 3.2k
Baris Bingol United States 15 1.8k 0.8× 1.1k 1.1× 618 0.7× 806 0.9× 567 0.8× 18 3.0k
Heather Mortiboys United Kingdom 26 1.4k 0.6× 566 0.6× 559 0.6× 1.2k 1.3× 293 0.4× 48 2.7k
Cristòfol Vives-Bauzá United States 19 1.5k 0.6× 1.0k 1.0× 369 0.4× 785 0.9× 236 0.3× 36 2.5k
Patricia Gómez‐Suaga United Kingdom 21 1.4k 0.6× 612 0.6× 468 0.5× 906 1.0× 788 1.2× 31 2.4k
Marta Valenza Italy 26 3.2k 1.4× 1.1k 1.1× 2.3k 2.5× 806 0.9× 707 1.0× 38 5.2k
Mervyn J. Monteiro United States 36 2.3k 1.0× 519 0.5× 750 0.8× 841 0.9× 1.1k 1.7× 74 3.7k
Blaise Bossy United States 19 2.1k 0.9× 357 0.4× 647 0.7× 323 0.4× 293 0.4× 22 3.0k
Masayuki Yokochi Japan 11 1.9k 0.8× 1.0k 1.0× 1.9k 2.0× 3.0k 3.3× 576 0.9× 19 4.7k

Countries citing papers authored by Xinnan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinnan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinnan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinnan Wang. A scholar is included among the top collaborators of Xinnan Wang 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 Xinnan Wang. Xinnan Wang 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.
Sainz, Alva G., et al.. (2025). Sensing within: Mitochondrial inside-out signal transduction. Cell chemical biology. 32(10). 1205–1220.
2.
Chen, Xi, et al.. (2024). Ethosomes-mediated tryptanthrin delivery as efficient anti-psoriatic nanotherapy by enhancing topical drug absorption and lipid homeostasis. Journal of Nanobiotechnology. 22(1). 584–584. 6 indexed citations
3.
Chandra, Sujyoti, et al.. (2024). Mitochondrial calcium transport during autophagy initiation. SHILAP Revista de lepidopterología. 2. 14–20. 3 indexed citations
4.
Liu, Yipeng, Junwu Wang, Xinnan Wang, et al.. (2022). A study of CO2 emissions in China's domestic construction industry based on non-competitive input-output. Sustainable Production and Consumption. 32. 743–754. 32 indexed citations
5.
Wang, Huanhuan, et al.. (2021). A versatile modular preparation strategy for targeted drug delivery systems against multidrug-resistant cancer cells. Nanotechnology. 33(5). 55101–55101. 3 indexed citations
6.
Lin, Hui‐Yi, Xinnan Wang, Tung‐Sung Tseng, et al.. (2021). Alcohol Intake and Alcohol–SNP Interactions Associated with Prostate Cancer Aggressiveness. Journal of Clinical Medicine. 10(3). 553–553. 6 indexed citations
7.
Papakyrikos, Amanda M., Min Joo Kim, & Xinnan Wang. (2020). Drosophila PTPMT1 Has a Function in Tracheal Air Filling. iScience. 23(7). 101285–101285. 2 indexed citations
8.
Vanhauwaert, Roeland, et al.. (2019). Surveillance and transportation of mitochondria in neurons. Current Opinion in Neurobiology. 57. 87–93. 25 indexed citations
9.
Li, Li, Roeland Vanhauwaert, Kong T. Nguyen, et al.. (2019). Miro1 Marks Parkinson’s Disease Subset and Miro1 Reducer Rescues Neuron Loss in Parkinson’s Models. Cell Metabolism. 30(6). 1131–1140.e7. 117 indexed citations
10.
Kantrow, Stephen P., Sarah E. Jolley, Eboni G. Price‐Haywood, et al.. (2018). Using the emergency department to investigate smoking in young adults. Annals of Epidemiology. 30. 44–49.e1. 3 indexed citations
11.
Scott, Anna I., Chung-Han Hsieh, Amanda M. Papakyrikos, et al.. (2018). Phosphorylation of MCAD selectively rescuesPINK1deficiencies in behavior and metabolism. Molecular Biology of the Cell. 29(10). 1219–1227. 10 indexed citations
12.
Hsieh, Chung-Han, et al.. (2017). Live Imaging Mitochondrial Transport in Neurons. PubMed. 123. 49–66. 9 indexed citations
13.
Shaltouki, Atossa, Ashley E. Gonzalez, Alexandre Bettencourt da Cruz, et al.. (2016). Functional Impairment in Miro Degradation and Mitophagy Is a Shared Feature in Familial and Sporadic Parkinson’s Disease. Cell stem cell. 19(6). 709–724. 361 indexed citations breakdown →
14.
Pekkurnaz, Gülçin, Jonathan C. Trinidad, Xinnan Wang, Dong Kong, & Thomas L. Schwarz. (2014). Glucose Regulates Mitochondrial Motility via Milton Modification by O-GlcNAc Transferase. Cell. 158(1). 54–68. 211 indexed citations
15.
Frank, C. Andrew, Xinnan Wang, Catherine A. Collins, et al.. (2013). New Approaches for Studying Synaptic Development, Function, and Plasticity UsingDrosophilaas a Model System. Journal of Neuroscience. 33(45). 17560–17568. 20 indexed citations
16.
Wang, Xinnan, et al.. (2012). The meaning of mitochondrial movement to a neuron's life. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1833(1). 184–194. 48 indexed citations
17.
Lee, Ji‐Yeon, et al.. (2012). Identification and Characterization of a Noncoding RNA at the Mouse Pcna Locus. Molecules and Cells. 33(2). 111–116. 5 indexed citations
18.
Wang, Xinnan, Dominic Winter, Ghazaleh Ashrafi, et al.. (2011). PINK1 and Parkin Target Miro for Phosphorylation and Degradation to Arrest Mitochondrial Motility. Cell. 147(4). 893–906. 937 indexed citations breakdown →
19.
Wang, Xinnan & Thomas L. Schwarz. (2009). Chapter 18 Imaging Axonal Transport of Mitochondria. Methods in enzymology on CD-ROM/Methods in enzymology. 457. 319–333. 52 indexed citations
20.
Wang, Xinnan, et al.. (2007). Drosophila spichthyin inhibits BMP signaling and regulates synaptic growth and axonal microtubules. Nature Neuroscience. 10(2). 177–185. 143 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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