Zhi Yan

839 total citations · 1 hit paper
9 papers, 243 citations indexed

About

Zhi Yan is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Zhi Yan has authored 9 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Zhi Yan's work include Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (3 papers) and Genetic diversity and population structure (3 papers). Zhi Yan is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (3 papers) and Genetic diversity and population structure (3 papers). Zhi Yan collaborates with scholars based in United States and China. Zhi Yan's co-authors include Luay Nakhleh, Amirali Aghazadeh, Richard G. Baraniuk, CJ Barberan, Vicky Yao, Chen Dun, Dinler A. Antunes, Michael Nute, Ruth Dannenfelser and Advait Balaji and has published in prestigious journals such as Nature Communications, Bioinformatics and The Plant Cell.

In The Last Decade

Zhi Yan

8 papers receiving 239 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.

Current progress and open challenges for applying deep learning across the biosciences

2022 171 citations Nicolae Sapoval, Amirali Aghazadeh 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
Zhi Yan United States	4	174	49	43	27	25	9	243
Cen Wan United Kingdom	10	218 1.3×	77 1.6×	52 1.2×	46 1.7×	12 0.5×	23	345
Christopher R. John United Kingdom	4	188 1.1×	56 1.1×	64 1.5×	24 0.9×	9 0.4×	6	301
Mark Woodbridge United Kingdom	4	211 1.2×	57 1.2×	42 1.0×	7 0.3×	27 1.1×	6	312
Oliver Serang United States	13	289 1.7×	61 1.2×	90 2.1×	24 0.9×	10 0.4×	24	456
Xinyi Shi China	8	105 0.6×	31 0.6×	121 2.8×	15 0.6×	10 0.4×	22	272
Anastasiya Belyaeva United States	6	211 1.2×	31 0.6×	30 0.7×	21 0.8×	6 0.2×	11	308
David P. Argue United States	4	181 1.0×	34 0.7×	32 0.7×	17 0.6×	5 0.2×	6	266
Jan Küntzer Germany	7	239 1.4×	62 1.3×	53 1.2×	7 0.3×	15 0.6×	10	384
Maribel Hernández-Rosales Mexico	9	174 1.0×	67 1.4×	72 1.7×	22 0.8×	13 0.5×	23	274

Countries citing papers authored by Zhi Yan

Since Specialization

Citations

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

Fields of papers citing papers by Zhi Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhi Yan

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

Yan, Zhi, et al.. (2026). A Strong Structural Stability of C2k+1‐Free Graphs. Journal of Graph Theory.

2.

Shen, Yanan, Tiantian Wang, Xuening Wang, et al.. (2025). RALF33–FERONIA signaling orchestrates postwounding root-tip regeneration via TPR4–ERF115 dynamics. The Plant Cell. 37(6). 3 indexed citations

3.

Yan, Zhi, Zhen Cao, & Luay Nakhleh. (2024). Polyphest: fast polyploid phylogeny estimation. Bioinformatics. 40(Supplement_2). ii20–ii28. 1 indexed citations

4.

Liu, Yushu, Mohammadamin Edrisi, Zhi Yan, Huw A. Ogilvie, & Luay Nakhleh. (2024). NestedBD: Bayesian inference of phylogenetic trees from single-cell copy number profiles under a birth-death model. Algorithms for Molecular Biology. 19(1). 18–18. 3 indexed citations

5.

Yan, Zhi, Huw A. Ogilvie, & Luay Nakhleh. (2023). “Correcting” Gene Trees to be More Like Species Trees Frequently Increases Topological Error. Genome Biology and Evolution. 15(6). 2 indexed citations

6.

Yan, Zhi, Huw A. Ogilvie, & Luay Nakhleh. (2023). Comparing inference under the multispecies coalescent with and without recombination. Molecular Phylogenetics and Evolution. 181. 107724–107724. 4 indexed citations

7.

Sapoval, Nicolae, Amirali Aghazadeh, Michael Nute, et al.. (2022). Current progress and open challenges for applying deep learning across the biosciences. Nature Communications. 13(1). 1728–1728. 171 indexed citations breakdown →

8.

Yan, Zhi, Zhen Cao, Yushu Liu, Huw A. Ogilvie, & Luay Nakhleh. (2021). Maximum Parsimony Inference of Phylogenetic Networks in the Presence of Polyploid Complexes. Systematic Biology. 71(3). 706–720. 18 indexed citations

9.

Yan, Zhi, Megan L. Smith, Peng Du, Matthew W. Hahn, & Luay Nakhleh. (2021). Species Tree Inference Methods Intended to Deal with Incomplete Lineage Sorting Are Robust to the Presence of Paralogs. Systematic Biology. 71(2). 367–381. 41 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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