Fengchao Yu

4.4k total citations · 3 hit papers
51 papers, 1.8k citations indexed

About

Fengchao Yu is a scholar working on Molecular Biology, Spectroscopy and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Fengchao Yu has authored 51 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 32 papers in Spectroscopy and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Fengchao Yu's work include Advanced Proteomics Techniques and Applications (31 papers), Mass Spectrometry Techniques and Applications (21 papers) and Metabolomics and Mass Spectrometry Studies (15 papers). Fengchao Yu is often cited by papers focused on Advanced Proteomics Techniques and Applications (31 papers), Mass Spectrometry Techniques and Applications (21 papers) and Metabolomics and Mass Spectrometry Studies (15 papers). Fengchao Yu collaborates with scholars based in United States, China and Hong Kong. Fengchao Yu's co-authors include Alexey I. Nesvizhskii, Guo Ci Teo, Sarah E. Haynes, Daniel A. Polasky, Dmitry M. Avtonomov, Andy T. Kong, Daniel Geiszler, Vadim Demichev, Weichuan Yu and Markus Ralser and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Bioinformatics.

In The Last Decade

Fengchao Yu

47 papers receiving 1.8k 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.

IonQuant Enables Accurate and Sensitive Label-Free Quantification With FDR-Controlled Match-Between-Runs

2021 228 citations Fengchao Yu, Sarah E. Haynes et al. Molecular & Cellular Proteomics profile →
dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts

2022 202 citations Vadim Demichev, Łukasz Szyrwiel et al. Nature Communications profile →
Analysis of DIA proteomics data using MSFragger-DIA and FragPipe computational platform

2023 119 citations Fengchao Yu, Guo Ci Teo et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fengchao Yu United States	19	1.3k	835	207	148	133	51	1.8k
Dmitry M. Avtonomov United States	11	1.7k 1.3×	1.2k 1.4×	175 0.8×	130 0.9×	139 1.0×	14	2.3k
Andy T. Kong United States	8	1.3k 1.0×	796 1.0×	144 0.7×	108 0.7×	119 0.9×	10	1.7k
Dorota Zielińska Poland	11	1.5k 1.1×	669 0.8×	167 0.8×	183 1.2×	147 1.1×	37	1.9k
Dattatreya Mellacheruvu United States	14	1.7k 1.3×	692 0.8×	205 1.0×	187 1.3×	363 2.7×	19	2.2k
Guo Ci Teo United States	12	926 0.7×	594 0.7×	143 0.7×	111 0.8×	72 0.5×	13	1.2k
Dirk Eberhard Germany	15	1.5k 1.2×	527 0.6×	163 0.8×	194 1.3×	173 1.3×	19	2.1k
Tobias Schmidt Germany	14	1.5k 1.1×	737 0.9×	187 0.9×	143 1.0×	120 0.9×	18	2.0k
Elisabetta Boeri Erba France	25	1.6k 1.2×	475 0.6×	270 1.3×	155 1.0×	330 2.5×	57	2.2k
Mark Scalf United States	28	1.8k 1.3×	849 1.0×	159 0.8×	46 0.3×	177 1.3×	68	2.7k
Stefan Kienle Germany	12	1.9k 1.4×	1.3k 1.5×	237 1.1×	341 2.3×	167 1.3×	14	2.5k

Countries citing papers authored by Fengchao Yu

Since Specialization

Citations

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

Fields of papers citing papers by Fengchao Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengchao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Fengchao Yu. A scholar is included among the top collaborators of Fengchao Yu 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 Fengchao Yu. Fengchao Yu 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

Li, Kai, Guo Ci Teo, Kevin Yang, Fengchao Yu, & Alexey I. Nesvizhskii. (2025). diaTracer enables spectrum-centric analysis of diaPASEF proteomics data. Nature Communications. 16(1). 95–95. 6 indexed citations

Zanon, Patrick R. A., Fengchao Yu, Patricia Z. Musacchio, et al.. (2025). Profiling the proteome-wide selectivity of diverse electrophiles. Nature Chemistry. 17(11). 1712–1721. 3 indexed citations

Yu, Fengchao, Yamei Deng, & Alexey I. Nesvizhskii. (2025). MSFragger-DDA+ enhances peptide identification sensitivity with full isolation window search. Nature Communications. 16(1). 3329–3329. 6 indexed citations

Lee, T D, Fengchao Yu, Cheng‐An J. Lin, et al.. (2024). Mapping Nanoscale‐To‐Single‐Cell Phosphoproteomic Landscape by Chip‐DIA. Advanced Science. 12(1). e2402421–e2402421. 4 indexed citations

Ferreira, Humberto J., Brian J. Stevenson, HuiSong Pak, et al.. (2024). Immunopeptidomics-based identification of naturally presented non-canonical circRNA-derived peptides. Nature Communications. 15(1). 2357–2357. 22 indexed citations

Kwon, Yumi, Jongmin Jacob Woo, Fengchao Yu, et al.. (2024). Proteome-Scale Tissue Mapping Using Mass Spectrometry Based on Label-Free and Multiplexed Workflows. Molecular & Cellular Proteomics. 23(11). 100841–100841. 7 indexed citations

Yu, Fengchao, James Fulcher, Sarah Williams, et al.. (2023). Evaluating Linear Ion Trap for MS3-Based Multiplexed Single-Cell Proteomics. Analytical Chemistry. 95(3). 1888–1898. 12 indexed citations

Liu, Shichang, Fengchao Yu, Guang Zhu, et al.. (2023). Capturing the hierarchically assorted modules of protein–protein interactions in the organized nucleome. Molecular Plant. 16(5). 930–961. 4 indexed citations

Yu, Fengchao, Guo Ci Teo, Andy T. Kong, et al.. (2023). Analysis of DIA proteomics data using MSFragger-DIA and FragPipe computational platform. Nature Communications. 14(1). 4154–4154. 119 indexed citations breakdown →

10.

Geiszler, Daniel, Daniel A. Polasky, Fengchao Yu, & Alexey I. Nesvizhskii. (2023). Detecting diagnostic features in MS/MS spectra of post-translationally modified peptides. Nature Communications. 14(1). 4132–4132. 17 indexed citations

11.

Polasky, Daniel A., Daniel Geiszler, Fengchao Yu, & Alexey I. Nesvizhskii. (2022). Multiattribute Glycan Identification and FDR Control for Glycoproteomics. Molecular & Cellular Proteomics. 21(3). 100205–100205. 24 indexed citations

12.

Demichev, Vadim, Łukasz Szyrwiel, Fengchao Yu, et al.. (2022). dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts. Nature Communications. 13(1). 3944–3944. 202 indexed citations breakdown →

13.

Kacen, Assaf, Aaron Javitt, Matthias P. Kramer, et al.. (2022). Post-translational modifications reshape the antigenic landscape of the MHC I immunopeptidome in tumors. Nature Biotechnology. 41(2). 239–251. 67 indexed citations

14.

Yan, Tianyang, et al.. (2022). SP3-Enabled Rapid and High Coverage Chemoproteomic Identification of Cell-State–Dependent Redox-Sensitive Cysteines. Molecular & Cellular Proteomics. 21(4). 100218–100218. 24 indexed citations

15.

Petyuk, Vladislav, Lei Yu, Heather Olson, et al.. (2021). Proteomic Profiling of the Substantia Nigra to Identify Determinants of Lewy Body Pathology and Dopaminergic Neuronal Loss. Journal of Proteome Research. 20(5). 2266–2282. 14 indexed citations

16.

Yu, Fengchao, et al.. (2020). Study on the performance test of pneumatic corn precision seed-metering device. 43(5). 103–107. 1 indexed citations

17.

Polasky, Daniel A., Fengchao Yu, Guo Ci Teo, & Alexey I. Nesvizhskii. (2020). Fast and comprehensive N- and O-glycoproteomics analysis with MSFragger-Glyco. Nature Methods. 17(11). 1125–1132. 183 indexed citations

18.

Yu, Fengchao, Sarah E. Haynes, Guo Ci Teo, et al.. (2020). Fast Quantitative Analysis of timsTOF PASEF Data with MSFragger and IonQuant. Molecular & Cellular Proteomics. 19(9). 1575–1585. 191 indexed citations

19.

Jiang, Wei, et al.. (2018). Xolik: finding cross-linked peptides with maximum paired scores in linear time. Bioinformatics. 35(2). 251–257. 15 indexed citations

20.

Yu, Fengchao, Ning Li, & Weichuan Yu. (2016). ECL: an exhaustive search tool for the identification of cross-linked peptides using whole database. BMC Bioinformatics. 17(1). 217–217. 15 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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