Haixu Tang

15.0k citations
186 papers · 8.2k · 4 hit papers · h-index 46

Impact in

    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • Glycosylation and Glycoproteins Research
  • Spectroscopy top 0.5%
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications

Papers in

    • Genomics and Phylogenetic Studies 68
    • RNA and protein synthesis mechanisms 30
    • Glycosylation and Glycoproteins Research 27
    • Machine Learning in Bioinformatics 17
    • Advanced Proteomics Techniques and Applications 47
    • Mass Spectrometry Techniques and Applications 29

Haixu Tang

179 papers receiving 8.0k citations

Haixu Tang's Hit Papers

MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification 2021 · 311 citations
3110+8+16Years since publication250500750

Peers

Haixu Tang
Comparison fields: 5 of 185
  • Molecular Biology 5.7k
  • Spectroscopy 1.1k
  • Genetics 1.4k
  • Ecology 1.1k
  • Endocrinology 189
Replace Peter D. Karp with:
Peter D. Karp United States
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David Wheeler United States
Stephen G. Oliver United Kingdom
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Henning Hermjakob United Kingdom
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Haixu Tang relative to Peter D. Karp United States Peter D. Karp's profile →
Citations per field
00.5×1.5×2.5×
Peter D. Karp · 1×
Citations per year

Countries citing papers authored by Haixu Tang

Since Specialization
Citations

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

Fields of papers citing papers by Haixu Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haixu Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Haixu Tang Line = papers co-authored together Haixu Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Eulerian path approach to DNA fragment assembly
Hit paper breakdown →
2001779
2
FragGeneScan: predicting genes in short and error-prone reads
Hit paper breakdown →
2010592
3
Rate and molecular spectrum of spontaneous mutations in the bacterium Escherichia coli as determined by whole-genome sequencing
Hit paper breakdown →
2012496
4
MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification
Hit paper breakdown →
2021311
5 2011288
6 2017236
7 2015189
8 2017174
9 2007145
10 2004144
11 2010141
12 2006140
13 2009139
14 2002131
15 2004126
16 2015119
17 2012114
18 2012109
19 201199
20 200797

About Haixu Tang

Haixu Tang is a scholar working on Molecular Biology, Spectroscopy, Artificial Intelligence, Genetics and Plant Science, having authored 186 papers that have together received 8.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (68 papers), Advanced Proteomics Techniques and Applications (47 papers), RNA and protein synthesis mechanisms (30 papers), Mass Spectrometry Techniques and Applications (29 papers), Glycosylation and Glycoproteins Research (27 papers), Privacy-Preserving Technologies in Data (19 papers), Chromosomal and Genetic Variations (18 papers) and Machine Learning in Bioinformatics (17 papers). The work is most often cited by research in Molecular Biology (5.7k citations), Spectroscopy (1.1k citations), Genetics (1.4k citations), Ecology (1.1k citations) and Endocrinology (189 citations). Haixu Tang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yuzhen Ye, Pavel A. Pevzner, Michael S. Waterman, Mina Rho, Heewook Lee, Patricia L. Foster, Ellen Popodi, Yongan Zhao, Zhiqun Xie and Yehia Mechref. Their work appears in journals such as Bioinformatics, Journal of Proteome Research, Analytical Chemistry, Journal of Computational Biology and Rapid Communications in Mass Spectrometry.

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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