Jane Y. Yang

2.7k total citations · 2 hit papers
19 papers, 1.9k citations indexed

About

Jane Y. Yang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Spectroscopy. According to data from OpenAlex, Jane Y. Yang has authored 19 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Spectroscopy. Recurrent topics in Jane Y. Yang's work include Metabolomics and Mass Spectrometry Studies (4 papers), Mass Spectrometry Techniques and Applications (3 papers) and Microbial Natural Products and Biosynthesis (2 papers). Jane Y. Yang is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Mass Spectrometry Techniques and Applications (3 papers) and Microbial Natural Products and Biosynthesis (2 papers). Jane Y. Yang collaborates with scholars based in United States, China and Germany. Jane Y. Yang's co-authors include Pieter C. Dorrestein, Kit Pogliano, Jeramie D. Watrous, Bradley S. Moore, Theodore Alexandrov, Roland D. Kersten, Patrick J. Roach, Jos M. Raaijmakers, Nuno Bandeira and Menno van der Voort and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Bacteriology and Clinical Chemistry.

In The Last Decade

Jane Y. Yang

19 papers receiving 1.9k citations

Hit Papers

Mass spectral molecular networking of living microbial co... 2012 2026 2016 2021 2012 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Y. Yang United States 15 1.2k 553 425 205 205 19 1.9k
Laura M. Sanchez United States 20 1.1k 0.9× 584 1.1× 240 0.6× 305 1.5× 290 1.4× 68 1.9k
Mingxun Wang United States 25 2.6k 2.1× 665 1.2× 642 1.5× 239 1.2× 331 1.6× 66 3.7k
Christopher M. Rath United States 21 1.0k 0.8× 686 1.2× 153 0.4× 319 1.6× 144 0.7× 31 1.7k
Eduardo Esquenazi United States 17 948 0.8× 427 0.8× 186 0.4× 302 1.5× 96 0.5× 20 1.7k
George G. Harrigan United States 27 1.9k 1.5× 384 0.7× 362 0.9× 440 2.1× 824 4.0× 67 3.1k
Brandi S. Heath United States 7 740 0.6× 232 0.4× 649 1.5× 73 0.4× 106 0.5× 9 1.4k
Nuno Bandeira United States 37 3.9k 3.2× 730 1.3× 2.0k 4.8× 237 1.2× 255 1.2× 81 5.1k
Marvin Meusel Germany 5 1.3k 1.1× 216 0.4× 474 1.1× 83 0.4× 247 1.2× 6 2.0k
Michael A. Skinnider Canada 23 1.8k 1.5× 919 1.7× 170 0.4× 261 1.3× 121 0.6× 47 2.5k
Fanny Roussi France 26 1.7k 1.4× 445 0.8× 174 0.4× 153 0.7× 348 1.7× 83 2.7k

Countries citing papers authored by Jane Y. Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jane Y. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane Y. Yang. 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 Jane Y. Yang. The network helps show where Jane Y. Yang may publish in the future.

Co-authorship network of co-authors of Jane Y. Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Y. Yang. A scholar is included among the top collaborators of Jane Y. Yang 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 Jane Y. Yang. Jane Y. Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Xu, Wenjie, et al.. (2022). Cross-Attention and Deep Supervision UNet for Lesion Segmentation of Chronic Stroke. Frontiers in Neuroscience. 16. 10 indexed citations
2.
Xu, Wenjie, et al.. (2021). Deep Convolutional Neural Network With a Multi-Scale Attention Feature Fusion Module for Segmentation of Multimodal Brain Tumor. Frontiers in Neuroscience. 15. 782968–782968. 14 indexed citations
3.
Yang, Jane Y., et al.. (2021). Antibody-Free Quantification of Serum Chromogranin A by Targeted Mass Spectrometry. Clinical Chemistry. 67(12). 1618–1627. 2 indexed citations
4.
Huang, Chenxi, Junsheng Zhou, Jinling Chen, et al.. (2021). A feature weighted support vector machine and artificial neural network algorithm for academic course performance prediction. Neural Computing and Applications. 35(16). 11517–11529. 20 indexed citations
5.
Chen, Yuxuan, et al.. (2021). PPANet: Point‐Wise Pyramid Attention Network for Semantic Segmentation. Wireless Communications and Mobile Computing. 2021(1). 2 indexed citations
6.
Mariakakis, Alex, Jane Y. Yang, Youssouf Keïta, et al.. (2020). Supporting Smartphone-Based Image Capture of Rapid Diagnostic Tests in Low-Resource Settings. 1–11. 15 indexed citations
7.
Lin, R., et al.. (2019). Predicting Alzheimer’s Disease Using LSTM. IEEE Access. 7. 80893–80901. 97 indexed citations
8.
Hattan, Stephen J., Kenneth C. Parker, Marvin L. Vestal, et al.. (2016). Analysis and Quantitation of Glycated Hemoglobin by Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 27(3). 532–541. 22 indexed citations
9.
Moree, Wilna J., Jane Y. Yang, Xiling Zhao, et al.. (2013). Imaging Mass Spectrometry of a Coral Microbe Interaction with Fungi. Journal of Chemical Ecology. 39(7). 1045–1054. 43 indexed citations
10.
Yang, Jane Y., Laura M. Sanchez, Christopher M. Rath, et al.. (2013). Molecular Networking as a Dereplication Strategy. Journal of Natural Products. 76(9). 1686–1699. 458 indexed citations breakdown →
11.
Rath, Christopher M., Jane Y. Yang, Theodore Alexandrov, & Pieter C. Dorrestein. (2013). Data-Independent Microbial Metabolomics with Ambient Ionization Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 24(8). 1167–1176. 19 indexed citations
12.
Yang, Jane Y.. (2013). Investigating Microbial Metabolites with Novel Mass Spectrometry Tools. eScholarship (California Digital Library). 1 indexed citations
13.
Watrous, Jeramie D., Patrick J. Roach, Theodore Alexandrov, et al.. (2012). Mass spectral molecular networking of living microbial colonies. Proceedings of the National Academy of Sciences. 109(26). E1743–52. 717 indexed citations breakdown →
14.
Yang, Jane Y., et al.. (2012). Enzymatic resistance to the lipopeptide surfactin as identified through imaging mass spectrometry of bacterial competition. Proceedings of the National Academy of Sciences. 109(32). 13082–13087. 85 indexed citations
15.
Yang, Jane Y., Vanessa V. Phelan, Ryan Simkovsky, et al.. (2012). Primer on Agar-Based Microbial Imaging Mass Spectrometry. Journal of Bacteriology. 194(22). 6023–6028. 134 indexed citations
16.
Liu, Wei-Ting, Yuliang Yang, Yuquan Xu, et al.. (2010). Imaging mass spectrometry of intraspecies metabolic exchange revealed the cannibalistic factors of Bacillus subtilis. Proceedings of the National Academy of Sciences. 107(37). 16286–16290. 157 indexed citations
17.
Meier, Jordan L., Anand Patel, Sherry Niessen, et al.. (2010). Practical 4′-Phosphopantetheine Active Site Discovery from Proteomic Samples. Journal of Proteome Research. 10(1). 320–329. 15 indexed citations
18.
Yang, Jane Y., et al.. (2010). Integrating ‘-omics’ and natural product discovery platforms to investigate metabolic exchange in microbiomes. Current Opinion in Chemical Biology. 15(1). 79–87. 18 indexed citations
19.
McDonald, Claudia A., et al.. (2008). Combining Results from Lectin Affinity Chromatography and Glycocapture Approaches Substantially Improves the Coverage of the Glycoproteome. Molecular & Cellular Proteomics. 8(2). 287–301. 105 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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