Haifan Lin

18.9k total citations · 6 hit papers
132 papers, 14.3k citations indexed

About

Haifan Lin is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Haifan Lin has authored 132 papers receiving a total of 14.3k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Molecular Biology, 60 papers in Plant Science and 24 papers in Genetics. Recurrent topics in Haifan Lin's work include Chromosomal and Genetic Variations (56 papers), CRISPR and Genetic Engineering (42 papers) and Developmental Biology and Gene Regulation (22 papers). Haifan Lin is often cited by papers focused on Chromosomal and Genetic Variations (56 papers), CRISPR and Genetic Engineering (42 papers) and Developmental Biology and Gene Regulation (22 papers). Haifan Lin collaborates with scholars based in United States, China and Japan. Haifan Lin's co-authors include Allan C. Spradling, Wei Deng, Daniel N. Cox, Vamsi K. Gangaraju, Hang Yin, Anna Chao, Ergin Beyret, Travis Thomson, Zhong Wang and Toshiaki Watanabe and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Haifan Lin

128 papers receiving 14.0k citations

Hit Papers

A novel class of evolutionarily conserved genes defined b... 1997 2026 2006 2016 1998 2002 2006 2004 1997 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haifan Lin United States 58 11.9k 5.8k 2.6k 2.5k 863 132 14.3k
Dónal O’Carroll United Kingdom 43 13.4k 1.1× 2.3k 0.4× 2.0k 0.8× 3.9k 1.6× 831 1.0× 68 15.9k
Mikiko C. Siomi Japan 52 14.3k 1.2× 6.0k 1.0× 2.5k 1.0× 4.5k 1.8× 395 0.5× 110 16.3k
Haruhiko Siomi Japan 56 12.4k 1.0× 5.0k 0.9× 2.4k 0.9× 3.0k 1.2× 337 0.4× 126 14.6k
Kathrin Plath United States 60 19.1k 1.6× 1.0k 0.2× 3.9k 1.5× 2.3k 0.9× 643 0.7× 124 21.2k
Julius Brennecke Austria 37 12.4k 1.0× 5.9k 1.0× 1.2k 0.5× 5.2k 2.1× 302 0.3× 60 14.4k
Joanna Wysocka United States 51 16.6k 1.4× 2.0k 0.3× 2.4k 0.9× 2.7k 1.1× 360 0.4× 112 19.5k
John C. Schimenti United States 57 7.5k 0.6× 1.3k 0.2× 2.6k 1.0× 1.0k 0.4× 1.3k 1.6× 199 10.0k
Eric C. Lai United States 71 17.2k 1.4× 3.4k 0.6× 1.6k 0.6× 10.0k 4.0× 407 0.5× 198 21.3k
Ruth Lehmann United States 76 14.4k 1.2× 2.5k 0.4× 3.9k 1.5× 659 0.3× 979 1.1× 156 17.6k
Alexei A. Aravin United States 45 14.9k 1.3× 7.8k 1.4× 2.0k 0.8× 5.3k 2.1× 400 0.5× 83 17.2k

Countries citing papers authored by Haifan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Haifan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haifan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Haifan Lin. A scholar is included among the top collaborators of Haifan Lin 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 Haifan Lin. Haifan Lin 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.
Parikh, Rasesh Y., Dhananjaya Nayak, Haifan Lin, & Vamsi K. Gangaraju. (2025). Drosophila Modulo is essential for transposon silencing and developmental robustness. Journal of Biological Chemistry. 301(3). 108210–108210.
2.
Boddu, Prajwal, Abhishek Gupta, Rahul Roy, et al.. (2023). Impaired Early Spliceosome Complex Assembly Underlies Gene Body Elongation Transcription Defect in SF3B1K700E. Blood. 142(Supplement 1). 714–714. 1 indexed citations
4.
Yang, Zhenzhen, et al.. (2020). PIWIL1 promotes gastric cancer via a piRNA-independent mechanism. Proceedings of the National Academy of Sciences. 117(36). 22390–22401. 63 indexed citations
5.
Siebert, Stefan, et al.. (2020). PIWI–piRNA pathway-mediated transposable element repression in Hydra somatic stem cells. RNA. 26(5). 550–563. 22 indexed citations
6.
Parikh, Rasesh Y., Haifan Lin, & Vamsi K. Gangaraju. (2018). A critical role for nucleoporin 358 (Nup358) in transposon silencing and piRNA biogenesis in Drosophila. Journal of Biological Chemistry. 293(24). 9140–9147. 13 indexed citations
7.
Jacobs, Daniel, Qin Qin, Michael C. Lerro, et al.. (2016). PIWI-Interacting RNAs in Gliomagenesis: Evidence from Post-GWAS and Functional Analyses. Cancer Epidemiology Biomarkers & Prevention. 25(7). 1073–1080. 32 indexed citations
8.
Watanabe, Toshiaki, Ee-chun Cheng, Mei Zhong, & Haifan Lin. (2014). Retrotransposons and pseudogenes regulate mRNAs and lncRNAs via the piRNA pathway in the germline. Genome Research. 25(3). 368–380. 191 indexed citations
9.
Saxe, Jonathan P., Mengjie Chen, Hongyu Zhao, & Haifan Lin. (2013). Tdrkh is essential for spermatogenesis and participates in primary piRNA biogenesis in the germline. The EMBO Journal. 32(13). 1869–1885. 146 indexed citations
10.
Cheng, Ee-chun, et al.. (2013). Piwi Genes Are Dispensable for Normal Hematopoiesis in Mice. PLoS ONE. 8(8). e71950–e71950. 28 indexed citations
11.
Mani, Sneha, et al.. (2013). PIWI proteins are essential for early Drosophila embryogenesis. Developmental Biology. 385(2). 340–349. 39 indexed citations
12.
Beyret, Ergin & Haifan Lin. (2011). Pinpointing the expression of piRNAs and function of the PIWI protein subfamily during spermatogenesis in the mouse. Developmental Biology. 355(2). 215–226. 51 indexed citations
13.
Yin, Hang, Sarah Sweeney, Debasish Raha, M Snyder, & Haifan Lin. (2011). A High-Resolution Whole-Genome Map of Key Chromatin Modifications in the Adult Drosophila melanogaster. PLoS Genetics. 7(12). e1002380–e1002380. 46 indexed citations
14.
Wu, Jia Qian, Lukas Habegger, Parinya Noisa, et al.. (2010). Dynamic transcriptomes during neural differentiation of human embryonic stem cells revealed by short, long, and paired-end sequencing. Proceedings of the National Academy of Sciences. 107(11). 5254–5259. 150 indexed citations
15.
Gangaraju, Vamsi K., et al.. (2010). Drosophila Piwi functions in Hsp90-mediated suppression of phenotypic variation. Nature Genetics. 43(2). 153–158. 112 indexed citations
16.
Chen, Li, Quansheng Zhou, Rulong Shen, et al.. (2010). Identification of Piwil2-Like (PL2L) Proteins that Promote Tumorigenesis. PLoS ONE. 5(10). e13406–e13406. 68 indexed citations
17.
Wang, Jianquan, Jonathan P. Saxe, Takashi Tanaka, Shinichiro Chuma, & Haifan Lin. (2009). Mili Interacts with Tudor Domain-Containing Protein 1 in Regulating Spermatogenesis. Current Biology. 19(8). 640–644. 143 indexed citations
18.
Wang, Zhong & Haifan Lin. (2004). Nanos Maintains Germline Stem Cell Self-Renewal by Preventing Differentiation. Science. 303(5666). 2016–2019. 199 indexed citations
20.
Lin, Haifan, et al.. (1989). Cloning and analysis of fs(1) Ya, a maternal effect gene required for the initiation of Drosophila embryogenesis. Molecular and General Genetics MGG. 215(2). 257–265. 6 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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