Ying S. Ting

3.4k total citations · 1 hit paper
20 papers, 1.5k citations indexed

About

Ying S. Ting is a scholar working on Molecular Biology, Spectroscopy and Ecology. According to data from OpenAlex, Ying S. Ting has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Spectroscopy and 5 papers in Ecology. Recurrent topics in Ying S. Ting's work include Advanced Proteomics Techniques and Applications (11 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Mass Spectrometry Techniques and Applications (8 papers). Ying S. Ting is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Mass Spectrometry Techniques and Applications (8 papers). Ying S. Ting collaborates with scholars based in United States, China and Taiwan. Ying S. Ting's co-authors include Michael J. MacCoss, Jarrett D. Egertson, Brendan MacLean, Brian C. Searle, David R. Goodlett, Lindsay K. Pino, Robert Lawrence, Judit Villén, Brook L. Nunn and William Stafford Noble and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Nature Methods.

In The Last Decade

Ying S. Ting

20 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry

2018 345 citations Brian C. Searle, Lindsay K. Pino et al. Nature Communications profile →

Peers

Countries citing papers authored by Ying S. Ting

Since Specialization

Citations

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

Fields of papers citing papers by Ying S. Ting

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying S. Ting. 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 Ying S. Ting. The network helps show where Ying S. Ting may publish in the future.

Co-authorship network of co-authors of Ying S. Ting

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Highly Parallel Quantification and Compartment Localization of Transcription Factors and Nuclear Proteins 2020 ·Cell Reports ·Alexander Federation, Vivek Nandakumar, Brian C. Searle, Andrew B. Stergachis, Hao Wang, Lindsay K. Pino, Gennifer E. Merrihew, Ying S. Ting, Nicholas P. Howard, Tanya Kutyavin, Michael J. MacCoss, J Stamatoyannopoulos	17
2	Characterization and identification of the major flavonoids in Phyllostachys edulis leaf extract by UPLC–QTOF–MS/MS 2020 ·Acta Chromatographica ·(unknown), Ying S. Ting, (unknown), Jia Sun, Xuefeng Guo	31
3	Abstract 5006: Comprehensive gene expression analysis of the tumor microenvironment in patients with advanced cancer treated with a personalized neoantigen vaccine, NEO-PV-01, in combination with anti-PD1 2019 ·Cancer Research ·Meghan E. Bushway, Ying S. Ting, Rana H. Besada, Tracey Sciuto, (unknown), Julian Scherer, Kristen N. Balogh, (unknown), Jennifer A. Kaplan, Lisa D. Cleary, Melissa A. Moles, S. Church, (unknown), Xing Ren, Richard B. Gaynor, Matthew J. Goldstein, Les Brail, Joel Greshock, Lakshmi Srinivasan	1
4	Abstract 5006: Comprehensive gene expression analysis of the tumor microenvironment in patients with advanced cancer treated with a personalized neoantigen vaccine, NEO-PV-01, in combination with anti-PD1 2019 ·Meghan E. Bushway, Ying S. Ting, Rana H. Besada, Tracey Sciuto, (unknown), Julian Scherer, Kristen N. Balogh, (unknown), Jennifer A. Kaplan, Lisa D. Cleary, Melissa A. Moles, S. Church, (unknown), Xing Ren, Richard B. Gaynor, Matthew J. Goldstein, Les Brail, Joel Greshock, Lakshmi Srinivasan	1
5	Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry breakdown → 2018 ·Nature Communications ·Brian C. Searle, Lindsay K. Pino, Jarrett D. Egertson, Ying S. Ting, Robert Lawrence, Brendan MacLean, Judit Villén, Michael J. MacCoss	345
6	MS analysis of a dilution series of bacteria:phytoplankton to improve detection of low abundance bacterial peptides 2018 ·Scientific Reports ·Emma Timmins‐Schiffman, Molly P. Mikan, Ying S. Ting, H. Rodger Harvey, Brook L. Nunn	2
7	The Role of Mass Spectrometry and Proteogenomics in the Advancement of HLA Epitope Prediction 2018 ·PROTEOMICS ·Amanda L. Creech, Ying S. Ting, Scott P. Goulding, John Sauld, Dominik Barthelme, Michael S. Rooney, Terri A. Addona, Jennifer G. Abelin	51
8	Proteomic analyses of nucleus laminaris identified candidate targets of the fragile X mental retardation protein 2017 ·The Journal of Comparative Neurology ·Hitomi Sakano, Diego A. R. Zorio, Xiaoyu Wang, Ying S. Ting, William Stafford Noble, Michael J. MacCoss, Edwin W. Rubel, Yuan Wang	8
9	Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses 2017 ·Nature Methods ·George Rosenberger, Isabell Bludau, Uwe Schmitt, Moritz Heusel, Christie L. Hunter, Yansheng Liu, Michael J. MacCoss, Brendan MacLean, Alexey I. Nesvizhskii, Patrick G. A. Pedrioli, Lukas Reiter, Hannes Röst, Stephen Tate, Ying S. Ting, Ben C. Collins, Ruedi Aebersold	144
10	PECAN: library-free peptide detection for data-independent acquisition tandem mass spectrometry data 2017 ·Nature Methods ·Ying S. Ting, Jarrett D. Egertson, James G. Bollinger, Brian C. Searle, Samuel Payne, William Stafford Noble, Michael J. MacCoss	139
11	Peptide-Centric Proteome Analysis: An Alternative Strategy for the Analysis of Tandem Mass Spectrometry Data 2015 ·Molecular & Cellular Proteomics ·Ying S. Ting, Jarrett D. Egertson, Samuel Payne, Sangtae Kim, Brendan MacLean, Lukas Käll, Ruedi Aebersold, Richard Smith, William Stafford Noble, Michael J. MacCoss	131
12	Multiplexed MS/MS for improved data-independent acquisition 2013 ·Nature Methods ·Jarrett D. Egertson, Andreas Kuehn, Gennifer E. Merrihew, Nicholas W. Bateman, Brendan MacLean, Ying S. Ting, Jesse D. Canterbury, (unknown), Markus Kellmann, Vlad Zabrouskov, Christine C. Wu, Michael J. MacCoss	221
13	Multiplexed Data Independent Acquisition for Comparative Proteomics 2012 ·Jarrett D. Egertson, Andreas Kuehn, Gennifer E. Merrihew, Nicholas W. Bateman, Brendan MacLean, Ying S. Ting, Jesse D. Canterbury, Markus Kellmann, Vlad Zabrouskov, Christine C. Wu, Michael J. MacCoss	1
14	Surface Acoustic Wave Nebulization Facilitating Lipid Mass Spectrometric Analysis 2012 ·Analytical Chemistry ·Sung Hwan Yoon, Yue Huang, J. Scott Edgar, Ying S. Ting, Scott R. Heron, (unknown), Yanyan Li, Christophe Masselon, Robert K. Ernst, David R. Goodlett	47
15	Metabolic Capabilities and Systems Fluctuations in Haloarcula marismortui Revealed by Integrative Genomics and Proteomics Analyses 2011 ·Journal of Proteome Research ·Lichieh Julie Chu, (unknown), (unknown), (unknown), Yihsuan S. Tsai, Jinzhi Chen, (unknown), Rueyhung Roc Weng, Ying S. Ting, Xuefeng Fang, Priska D. von Haller, David R. Goodlett, Wailap Victor Ng	7
16	Protein Identification Using Top-Down Spectra 2011 ·Molecular & Cellular Proteomics ·Xiaowen Liu, (unknown), Yufeng Shen, Gordon Anderson, Yihsuan S. Tsai, Ying S. Ting, David R. Goodlett, Richard Smith, Vineet Bafna, Pavel A. Pevzner	120
17	Automated Lipid A Structure Assignment from Hierarchical Tandem Mass Spectrometry Data 2011 ·Journal of the American Society for Mass Spectrometry ·Ying S. Ting, Scott A. Shaffer, Jace W. Jones, Wailap Victor Ng, Robert K. Ernst, David R. Goodlett	26
18	New Structural Proteins of Halobacterium salinarum Gas Vesicle Revealed by Comparative Proteomics Analysis 2010 ·Journal of Proteome Research ·Lichieh Julie Chu, (unknown), Jocelyn R. Setter, Yihsuan S. Tsai, (unknown), Xuefeng Fang, Ying S. Ting, Scott A. Shaffer, Gregory K. Taylor, Priska D. von Haller, David R. Goodlett, Wailap Victor Ng	23
19	The path to preservation: Using proteomics to decipher the fate of diatom proteins during microbial degradation 2010 ·Limnology and Oceanography ·Brook L. Nunn, Ying S. Ting, Lars Malmström, Yihsuan S. Tsai, (unknown), David R. Goodlett, H. Rodger Harvey	22
20	Comparative metaproteomics reveals ocean-scale shifts in microbial nutrient utilization and energy transduction 2010 ·The ISME Journal ·Robert M. Morris, Brook L. Nunn, Christian D. Frazar, David R. Goodlett, Ying S. Ting, Gabrielle Rocap	193

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