Yanbo Pan

908 total citations
23 papers, 523 citations indexed

About

Yanbo Pan is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Yanbo Pan has authored 23 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Spectroscopy and 3 papers in Cell Biology. Recurrent topics in Yanbo Pan's work include Advanced Proteomics Techniques and Applications (13 papers), Mass Spectrometry Techniques and Applications (9 papers) and Ubiquitin and proteasome pathways (4 papers). Yanbo Pan is often cited by papers focused on Advanced Proteomics Techniques and Applications (13 papers), Mass Spectrometry Techniques and Applications (9 papers) and Ubiquitin and proteasome pathways (4 papers). Yanbo Pan collaborates with scholars based in China, Sweden and United Kingdom. Yanbo Pan's co-authors include Hanfa Zou, Mingliang Ye, Janne Lehtiö, Kai Cheng, Taner Arslan, Lukas M. Orre, Mattias Vesterlund, Oliver Frings, Yafeng Zhu and Alejandro Fernandez-Woodbridge and has published in prestigious journals such as Angewandte Chemie International Edition, Molecular Cell and Analytical Chemistry.

In The Last Decade

Yanbo Pan

22 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanbo Pan China 11 342 166 81 51 50 23 523
Yating Yao China 17 405 1.2× 326 2.0× 43 0.5× 29 0.6× 61 1.2× 32 607
Edward S. X. Moh Australia 10 310 0.9× 94 0.6× 47 0.6× 21 0.4× 79 1.6× 26 419
Putty‐Reddy Sudhir Taiwan 11 316 0.9× 193 1.2× 81 1.0× 61 1.2× 12 0.2× 16 702
Suttipong Suttapitugsakul United States 15 541 1.6× 209 1.3× 63 0.8× 9 0.2× 128 2.6× 27 665
Rodolfo F. Gómez‐Biagi Canada 11 248 0.7× 40 0.2× 34 0.4× 18 0.4× 80 1.6× 15 398
Sonia Troiani Italy 11 631 1.8× 107 0.6× 148 1.8× 14 0.3× 44 0.9× 12 845
Krisztina Paál Germany 10 285 0.8× 34 0.2× 34 0.4× 98 1.9× 39 0.8× 18 451
Sami Rissanen Finland 16 391 1.1× 28 0.2× 81 1.0× 66 1.3× 39 0.8× 18 558
Vanita Vanita India 19 490 1.4× 245 1.5× 40 0.5× 20 0.4× 35 0.7× 44 817

Countries citing papers authored by Yanbo Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yanbo Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanbo Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Yanbo Pan. A scholar is included among the top collaborators of Yanbo Pan 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 Yanbo Pan. Yanbo Pan 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.
Pan, Yanbo, Georgios Mermelekas, Amare Desalegn Wolide, et al.. (2025). Functional-proteomics-based investigation of the cellular response to farnesyltransferase inhibition in lung cancer. iScience. 28(2). 111864–111864. 1 indexed citations
2.
Jiang, Chunming, et al.. (2023). Long noncoding RNA MEG8 induces an imbalance of Th17/Treg cells through the miR-107/STAT3 axis in Henoch-Schonlein purpura rats. Aging. 15(23). 13854–13864. 1 indexed citations
3.
Arslan, Taner, Yanbo Pan, Georgios Mermelekas, et al.. (2022). SubCellBarCode: integrated workflow for robust spatial proteomics by mass spectrometry. Nature Protocols. 17(8). 1832–1867. 12 indexed citations
4.
Stadler, Charlotte, Claire E. Martin, Marcel Morgenstern, et al.. (2021). Subcellular proteomics. Nature Reviews Methods Primers. 1(1). 78 indexed citations
6.
Orre, Lukas M., Mattias Vesterlund, Yanbo Pan, et al.. (2019). SubCellBarCode: Proteome-wide Mapping of Protein Localization and Relocalization. Molecular Cell. 73(1). 166–182.e7. 142 indexed citations
7.
Juhlin, C. Christofer, Yanbo Pan, Mattias Vesterlund, et al.. (2019). Proteomics identifies neddylation as a potential therapy target in small intestinal neuroendocrine tumors. Oncogene. 38(43). 6881–6897. 8 indexed citations
8.
Zhang, Yixin, Yanbo Pan, Wujun Liu, et al.. (2016). In vivo protein allylation to capture protein methylation candidates. Chemical Communications. 52(40). 6689–6692. 10 indexed citations
9.
Yao, Yating, Junfeng Huang, Kai Cheng, et al.. (2015). Specific Enrichment of Peptides with N-Terminal Serine/Threonine by a Solid-Phase Capture-Release Approach for Efficient Proteomics Analysis. Analytical Chemistry. 87(22). 11353–11360. 10 indexed citations
10.
Liu, Fangjie, Mingliang Ye, Yanbo Pan, & Hanfa Zou. (2015). High Concentration Trypsin Assisted Fast In-Gel Digestion for Phosphoproteome Analysis. Chinese Journal of Analytical Chemistry. 43(10). 1452–1458. 2 indexed citations
11.
Pan, Yanbo, Jiawei Mao, Zhenzhen Deng, et al.. (2015). The proteomic analysis improved by cleavage kinetics‐based fractionation of tryptic peptides. PROTEOMICS. 15(21). 3613–3616. 3 indexed citations
12.
Zheng, Hao, Jiawei Mao, Yanbo Pan, et al.. (2014). Effect of the lysine guanidination on proteomic analysis. Chinese Journal of Chromatography. 32(4). 376–376. 2 indexed citations
13.
Pan, Yanbo, Kai Cheng, Jiawei Mao, et al.. (2014). Quantitative proteomics reveals the kinetics of trypsin-catalyzed protein digestion. Analytical and Bioanalytical Chemistry. 406(25). 6247–6256. 28 indexed citations
14.
Ye, Mingliang, Yanbo Pan, Yi Zhang, et al.. (2014). Integration of Cell Lysis, Protein Extraction, and Digestion into One Step for Ultrafast Sample Preparation for Phosphoproteome Analysis. Analytical Chemistry. 86(14). 6786–6791. 21 indexed citations
15.
Pan, Yanbo, Huafeng Qin, Huaiyu He, et al.. (2013). Dipole low at the Permo-Triassic boundary? New paleomagnetic data from the central Siberian Traps. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
16.
Zhang, Yixin, Yanbo Pan, Wei Yang, et al.. (2013). Protein Arginine Allylation and Subsequent Fluorophore Targeting. ChemBioChem. 14(12). 1438–1443. 11 indexed citations
17.
Bian, Yangyang, Mingliang Ye, Chunli Wang, et al.. (2013). Global Screening of CK2 Kinase Substrates by an Integrated Phosphoproteomics Workflow. Scientific Reports. 3(1). 3460–3460. 76 indexed citations
18.
Pan, Yanbo, Mingliang Ye, Liang Zhao, et al.. (2013). N‐Terminal Labeling of Peptides by Trypsin‐Catalyzed Ligation for Quantitative Proteomics. Angewandte Chemie International Edition. 52(35). 9205–9209. 15 indexed citations
19.
Dong, Mingming, Mingliang Ye, Kai Cheng, et al.. (2012). Depletion of Acidic Phosphopeptides by SAX To Improve the Coverage for the Detection of Basophilic Kinase Substrates. Journal of Proteome Research. 11(9). 4673–4681. 23 indexed citations
20.
Wang, Xiu‐Li, Yan Huang, Jiang Zhu, et al.. (2009). Chitosan-graft poly(p-dioxanone) copolymers: preparation, characterization, and properties. Carbohydrate Research. 344(6). 801–807. 29 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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