Hequan Sun

2.5k total citations · 2 hit papers
25 papers, 1.3k citations indexed

About

Hequan Sun is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Hequan Sun has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 18 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Hequan Sun's work include Plant Reproductive Biology (11 papers), Plant Molecular Biology Research (9 papers) and Chromosomal and Genetic Variations (8 papers). Hequan Sun is often cited by papers focused on Plant Reproductive Biology (11 papers), Plant Molecular Biology Research (9 papers) and Chromosomal and Genetic Variations (8 papers). Hequan Sun collaborates with scholars based in Germany, China and Spain. Hequan Sun's co-authors include Korbinian Schneeberger, Wen‐Biao Jiao, Manish Goel, Mathieu Piednoël, Jia Ding, Bruno Hüettel, José Antonio Campoy, Kat Folz‐Donahue, Christian Kukat and Kristin S Krause and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Hequan Sun

23 papers receiving 1.3k citations

Hit Papers

SyRI: finding genomic rearrangements and local sequence d... 2019 2026 2021 2023 2019 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hequan Sun Germany 14 954 764 256 75 62 25 1.3k
Wen‐Biao Jiao Germany 12 1.1k 1.1× 873 1.1× 340 1.3× 176 2.3× 56 0.9× 24 1.5k
Thomas Rosleff Sörensen Germany 10 893 0.9× 625 0.8× 216 0.8× 72 1.0× 120 1.9× 11 1.2k
Thomas Kraft Sweden 18 1.3k 1.4× 596 0.8× 438 1.7× 93 1.2× 86 1.4× 27 1.6k
Robert Buels United States 12 800 0.8× 1.0k 1.4× 268 1.0× 59 0.8× 48 0.8× 18 1.6k
Laura Pascual Spain 19 1.0k 1.1× 382 0.5× 386 1.5× 44 0.6× 49 0.8× 43 1.3k
Eunyoung Chae Germany 20 1.4k 1.4× 664 0.9× 212 0.8× 120 1.6× 26 0.4× 33 1.6k
Jun Qin China 24 1.4k 1.4× 385 0.5× 160 0.6× 59 0.8× 37 0.6× 88 1.6k
Travis Banks Canada 14 1.3k 1.3× 779 1.0× 265 1.0× 47 0.6× 19 0.3× 19 1.5k
Toshi Foster New Zealand 19 997 1.0× 827 1.1× 121 0.5× 63 0.8× 27 0.4× 35 1.3k
Wen Yao China 21 1.6k 1.7× 767 1.0× 750 2.9× 51 0.7× 40 0.6× 55 2.0k

Countries citing papers authored by Hequan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Hequan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hequan Sun

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

All Works

20 of 20 papers shown
1.
Sun, Hequan, Sergio Tusso, Craig Dent, et al.. (2025). The phased pan-genome of tetraploid European potato. Nature. 642(8067). 389–397. 7 indexed citations
2.
Fu, Laiyi, et al.. (2025). Parallel Seeds: From Foundation Models to Foundation Intelligence for Agricultural Sustainability. IEEE/CAA Journal of Automatica Sinica. 12(3). 481–484.
3.
Lux, Thomas, José Antonio Campoy, Magdalena Marek, et al.. (2024). Meiotic recombination dynamics in plants with repeat-based holocentromeres shed light on the primary drivers of crossover patterning. Nature Plants. 10(3). 423–438. 20 indexed citations
4.
Goel, Manish, José Antonio Campoy, Kristin S Krause, et al.. (2024). The vast majority of somatic mutations in plants are layer-specific. Genome biology. 25(1). 194–194. 10 indexed citations
5.
Sun, Hequan, José Antonio Campoy, Kristin S Krause, et al.. (2024). The identification and analysis of meristematic mutations within the apple tree that developed the RubyMac sport mutation. BMC Plant Biology. 24(1). 912–912. 3 indexed citations
6.
Fu, Laiyi, et al.. (2024). findGSEP: estimating genome size of polyploid species usingk-mer frequencies. Bioinformatics. 40(11).
7.
Vayssières, Alice, Ulla Neumann, A. M. Lázaro, et al.. (2022). FLOWERING REPRESSOR AAA+ATPase 1 is a novel regulator of perennial flowering in Arabis alpina. New Phytologist. 236(2). 729–744. 11 indexed citations
8.
Sun, Hequan, Wen‐Biao Jiao, Kristin S Krause, et al.. (2022). Chromosome-scale and haplotype-resolved genome assembly of a tetraploid potato cultivar. Nature Genetics. 54(3). 342–348. 130 indexed citations breakdown →
9.
Wang, Xiujuan, Mengzhen Kang, Hequan Sun, Philippe De Reffye, & Fei‐Yue Wang. (2022). DeCASA in AgriVerse: Parallel Agriculture for Smart Villages in Metaverses. IEEE/CAA Journal of Automatica Sinica. 9(12). 2055–2062. 31 indexed citations
10.
Chopra, Divykriti, Andrea Schrader, Hequan Sun, et al.. (2021). Genetic and Molecular Analysis of Root Hair Development in Arabis alpina. Frontiers in Plant Science. 12. 767772–767772. 4 indexed citations
11.
Sang, Qing, Alice Pajoro, Hequan Sun, et al.. (2020). Mutagenesis of a Quintuple Mutant Impaired in Environmental Responses Reveals Roles for CHROMATIN REMODELING4 in the Arabidopsis Floral Transition. The Plant Cell. 32(5). 1479–1500. 19 indexed citations
12.
Hernando, Carlos Esteban, Andrés Romanowski, Hequan Sun, et al.. (2020). Bacterial Infection Disrupts Clock Gene Expression to Attenuate Immune Responses. Current Biology. 30(9). 1740–1747.e6. 23 indexed citations
13.
Campoy, José Antonio, Hequan Sun, Manish Goel, et al.. (2020). Gamete binning: chromosome-level and haplotype-resolved genome assembly enabled by high-throughput single-cell sequencing of gamete genomes. Genome biology. 21(1). 306–306. 48 indexed citations
14.
Sun, Hequan, Beth A. Rowan, Pádraic J. Flood, et al.. (2019). Linked-read sequencing of gametes allows efficient genome-wide analysis of meiotic recombination. Nature Communications. 10(1). 4310–4310. 40 indexed citations
15.
Kiefer, Christiane, Eva‐Maria Willing, Wen‐Biao Jiao, et al.. (2019). Interspecies association mapping links reduced CG to TG substitution rates to the loss of gene-body methylation. Nature Plants. 5(8). 846–855. 47 indexed citations
16.
Goel, Manish, Hequan Sun, Wen‐Biao Jiao, & Korbinian Schneeberger. (2019). SyRI: finding genomic rearrangements and local sequence differences from whole-genome assemblies. Genome biology. 20(1). 277–277. 496 indexed citations breakdown →
17.
Ibañez, Carla, Carolin Delker, Cristina Martínez, et al.. (2018). Brassinosteroids Dominate Hormonal Regulation of Plant Thermomorphogenesis via BZR1. Current Biology. 28(2). 303–310.e3. 157 indexed citations
18.
Sun, Hequan & Korbinian Schneeberger. (2015). SHOREmap v3.0: Fast and Accurate Identification of Causal Mutations from Forward Genetic Screens. Methods in molecular biology. 1284. 381–395. 37 indexed citations
19.
Sun, Hequan, et al.. (2014). Pst DC3000 induces pathogenesis-uncorrelated cytosolic Ca2+ rise in Arabidopsis leaves. Russian Journal of Plant Physiology. 61(3). 347–354. 1 indexed citations
20.
Siau, Anthony, Ximei Huang, Xue Yan Yam, et al.. (2014). Identification of a new export signal inPlasmodium yoelii: identification of a new exportome. Cellular Microbiology. 16(5). 673–686. 13 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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