Han Fang

6.6k total citations · 2 hit papers
56 papers, 3.5k citations indexed

About

Han Fang is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Han Fang has authored 56 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 20 papers in Genetics and 10 papers in Plant Science. Recurrent topics in Han Fang's work include Genomics and Phylogenetic Studies (9 papers), Genomic variations and chromosomal abnormalities (7 papers) and Genomics and Rare Diseases (6 papers). Han Fang is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Genomic variations and chromosomal abnormalities (7 papers) and Genomics and Rare Diseases (6 papers). Han Fang collaborates with scholars based in United States, China and Mexico. Han Fang's co-authors include Michael C. Schatz, Fritz J. Sedlazeck, Maria Nattestad, James Gurtowski, Charles J. Underwood, Wei Pan, Philipp Rescheneder, Moritz Smolka, Arndt von Haeseler and Wang Jj and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Biotechnology and Bioinformatics.

In The Last Decade

Han Fang

50 papers receiving 3.4k 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.

GenomeScope: fast reference-free genome profiling from short reads

2017 1.1k citations Fritz J. Sedlazeck, Maria Nattestad et al. Bioinformatics profile →
Accurate detection of complex structural variations using single-molecule sequencing

2018 862 citations Fritz J. Sedlazeck, Philipp Rescheneder et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Han Fang United States	18	2.1k	1.1k	870	385	266	56	3.5k
Rémy Bruggmann Switzerland	37	1.6k 0.8×	799 0.7×	816 0.9×	276 0.7×	246 0.9×	116	3.9k
Sara Goodwin United States	13	2.4k 1.1×	856 0.7×	752 0.9×	534 1.4×	420 1.6×	23	3.7k
Fernando García-Alcalde Spain	13	2.1k 1.0×	686 0.6×	682 0.8×	556 1.4×	350 1.3×	24	3.8k
Paul Kersey United Kingdom	28	3.1k 1.4×	841 0.7×	1.4k 1.6×	281 0.7×	527 2.0×	55	4.9k
William H. Majoros United States	22	2.5k 1.2×	661 0.6×	724 0.8×	545 1.4×	191 0.7×	36	3.5k
Xiuqing Zhang China	35	3.2k 1.5×	1.0k 0.9×	1.8k 2.1×	593 1.5×	364 1.4×	123	5.5k
Robert Baertsch United States	14	3.7k 1.7×	1.3k 1.1×	1.7k 2.0×	476 1.2×	322 1.2×	21	5.1k
Maura Costello United States	10	2.6k 1.2×	601 0.5×	565 0.6×	428 1.1×	353 1.3×	11	3.8k
Albert J. Vilella United Kingdom	10	2.1k 1.0×	886 0.8×	661 0.8×	314 0.8×	190 0.7×	11	3.1k

Countries citing papers authored by Han Fang

Since Specialization

Citations

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

Fields of papers citing papers by Han Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Fang

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

Cui, Yu, Wang Bi, Mingyi Cai, et al.. (2025). T2T Genomes Unveil Centromere Architecture and Adaptive Divergence in Large Yellow Croaker ( Larimichthys crocea ). Advanced Science. 12(43). e06374–e06374.

Fang, Han, et al.. (2024). On propensity score matching with a diverging number of matches. Biometrika. 111(4). 1421–1428.

Liu, Yike, Wanbo Li, Xianfeng Yang, et al.. (2024). Genome Insights and Identification of Sex Determination Region and Sex Markers in Argyrosomus japonicus. Genes. 15(12). 1493–1493. 3 indexed citations

Fang, Han, Hui-quan Li, Qianqian Zhang, et al.. (2024). Soybean-mediated suppression of BjaI/BjaR ₁ quorum sensing in Bradyrhizobium diazoefficiens impacts symbiotic nitrogen fixation. Applied and Environmental Microbiology. 90(2). e0137423–e0137423. 3 indexed citations

Zhou, Xuhong, Yun Huang, Ke Ke, et al.. (2023). Large-size shape memory alloy plates subjected to cyclic tension: Towards novel self-centring connections in steel frames. Thin-Walled Structures. 185. 110591–110591. 67 indexed citations

Liu, Weiguo, et al.. (2023). A Multi-Task Fusion Strategy-Based Decision-Making and Planning Method for Autonomous Driving Vehicles. Sensors. 23(16). 7021–7021. 8 indexed citations

Wang, Ying, et al.. (2022). Evaluation of Pharmacokinetics and Safety With Bioequivalence of Anastrozole in Healthy Chinese Volunteers: Bioequivalence Study Findings. Clinical Pharmacology in Drug Development. 11(6). 687–694. 1 indexed citations

Fang, Han, Wenwen Chen, Xuemei Bai, et al.. (2020). Involvement of a Novel TetR-Like Regulator (BdtR) of Bradyrhizobium diazoefficiens in the Efflux of Isoflavonoid Genistein. Molecular Plant-Microbe Interactions. 33(12). 1411–1423. 6 indexed citations

Fang, Han, et al.. (2020). Identification of High-Frequency Methylation Sites in RNF180 Promoter Region Affecting Expression and Their Relationship with Prognosis of Gastric Cancer. SHILAP Revista de lepidopterología. 1 indexed citations

10.

Sedlazeck, Fritz J., Philipp Rescheneder, Moritz Smolka, et al.. (2018). Accurate detection of complex structural variations using single-molecule sequencing. Nature Methods. 15(6). 461–468. 862 indexed citations breakdown →

11.

Nattestad, Maria, Sara Goodwin, Karen Ng, et al.. (2018). Complex rearrangements and oncogene amplifications revealed by long-read DNA and RNA sequencing of a breast cancer cell line. Genome Research. 28(8). 1126–1135. 108 indexed citations

12.

Jj, Wang, et al.. (2018). Tumor microenvironment: recent advances in various cancer treatments.. PubMed. 22(12). 3855–3864. 272 indexed citations

13.

Sedlazeck, Fritz J., Maria Nattestad, Charles J. Underwood, et al.. (2017). GenomeScope: fast reference-free genome profiling from short reads. Bioinformatics. 33(14). 2202–2204. 1125 indexed citations breakdown →

14.

Li, Junguo, et al.. (2016). Effects of different protein sources on extrusion processing parameters and processing quality for high protein aquatic feed.. Dongwu yingyang xuebao. 28(5). 1496–1505. 4 indexed citations

15.

Fang, Han, Ewa A. Bergmann, Kanika Arora, et al.. (2016). Indel variant analysis of short-read sequencing data with Scalpel. Nature Protocols. 11(12). 2529–2548. 77 indexed citations

16.

Fang, Han & Gholson J. Lyon. (2015). Causal signals between codon bias, mRNA structure, and the efficiency of translation and elongation. Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory). 7 indexed citations

17.

Fang, Han & Wei Pan. (2011). A Composite Likelihood Approach to Latent Multivariate Gaussian Modeling of SNP Data with Application to Genetic Association Testing. Biometrics. 68(1). 307–315. 8 indexed citations

18.

Fang, Han & Wei Pan. (2010). A Data-Adaptive Sum Test for Disease Association with Multiple Common or Rare Variants. Human Heredity. 70(1). 42–54. 229 indexed citations

19.

Fang, Han, et al.. (1998). CHARACTERIZATION OF A WHEATWHEATGRASS TRANSLOCATION LINE BY FISH. Zhiwu xuebao. 1 indexed citations

20.

Zheng, Guanghui, et al.. (1997). [Drug resistance mechanism of doxorubicin-resistant human gastric cancer cells BGC-823/DOX].. PubMed. 35(6). 325–8. 2 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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