Dengfeng Guan

6.0k total citations · 1 hit paper
9 papers, 687 citations indexed

About

Dengfeng Guan is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Dengfeng Guan has authored 9 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Ecology. Recurrent topics in Dengfeng Guan's work include Genomics and Phylogenetic Studies (7 papers), Chromosomal and Genetic Variations (3 papers) and Species Distribution and Climate Change (2 papers). Dengfeng Guan is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Chromosomal and Genetic Variations (3 papers) and Species Distribution and Climate Change (2 papers). Dengfeng Guan collaborates with scholars based in China and United Kingdom. Dengfeng Guan's co-authors include Yadong Wang, Richard Durbin, Shane McCarthy, Kerstin Howe, Jonathan Wood, Mingxiang Teng, Bo Liu, Fuwen Wei, Yibo Hu and Zemin Ning and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Dengfeng Guan

8 papers receiving 683 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.

Identifying and removing haplotypic duplication in primary genome assemblies

2020 636 citations Dengfeng Guan, Shane McCarthy et al. Bioinformatics profile →

Peers

Dengfeng Guan

MB

PS

GENET

ECOLO

EEBS

T. Rhyker Ranallo-Benavidez United States

Yinlong Xie China

Daniel Ence United States

Shengchang Gu China

Fábio K. Mendes United States

Emeric Figuet France

Daniel Mapleson United Kingdom

Sudhindra R. Gadagkar United States

Mahul Chakraborty United States

Brandon Rice United States

T. Rhyker Ranallo-Benavidez United States

Dengfeng Guan

571 ×1.3

MB

450 ×1.7

PS

269 ×1.4

GENET

167 ×1.5

ECOLO

184 ×1.8

EEBS

Citations per year, relative to Dengfeng Guan Dengfeng Guan (= 1×) peers T. Rhyker Ranallo-Benavidez

Countries citing papers authored by Dengfeng Guan

Since Specialization

Citations

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

Fields of papers citing papers by Dengfeng Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dengfeng Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Dengfeng Guan. A scholar is included among the top collaborators of Dengfeng Guan 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 Dengfeng Guan. Dengfeng Guan 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:

9 of 9 papers shown

1.

Guan, Dengfeng, Xin Huang, Jiang Zhou, et al.. (2025). Unraveling phylogenetic conflicts and adaptive evolution in Chiroptera using large-scale mitogenomes and nuclear genes. Science China Life Sciences. 68(11). 3379–3391. 2 indexed citations

2.

Guan, Dengfeng, Shuyan Sun, Yonggang Nie, et al.. (2024). Taking a color photo: A homozygous 25-bp deletion in Bace2 may cause brown-and-white coat color in giant pandas. Proceedings of the National Academy of Sciences. 121(11). e2317430121–e2317430121. 3 indexed citations

3.

Wei, Fuwen, Guangping Huang, Dengfeng Guan, et al.. (2022). Digital Noah’s Ark: last chance to save the endangered species. Science China Life Sciences. 65(11). 2325–2327. 8 indexed citations

4.

Guan, Dengfeng, Shane McCarthy, Zemin Ning, et al.. (2021). Efficient iterative Hi-C scaffolder based on N-best neighbors. BMC Bioinformatics. 22(1). 569–569. 13 indexed citations

5.

Guan, Dengfeng, Shane McCarthy, Jonathan Wood, et al.. (2020). Identifying and removing haplotypic duplication in primary genome assemblies. Bioinformatics. 36(9). 2896–2898. 636 indexed citations breakdown →

6.

Guo, Hongzhe, et al.. (2019). Fast read alignment with incorporation of known genomic variants. BMC Medical Informatics and Decision Making. 19(S6). 265–265.

7.

Guan, Dengfeng, Bo Liu, & Yadong Wang. (2018). deSPI: efficient classification of metagenomics reads with lightweight de Bruijn graph-based reference indexing. 19. 265–269. 2 indexed citations

8.

Guo, Hongzhe, et al.. (2018). Fast variation-aware read alignment with deBGA-VARA. 227–233. 1 indexed citations

9.

Liu, Bo, Dengfeng Guan, Mingxiang Teng, & Yadong Wang. (2015). rHAT: fast alignment of noisy long reads with regional hashing. Bioinformatics. 32(11). 1625–1631. 22 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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