Gen Lin

1.8k total citations
24 papers, 994 citations indexed

About

Gen Lin is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Gen Lin has authored 24 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Immunology. Recurrent topics in Gen Lin's work include Fungal and yeast genetics research (9 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genomics and Chromatin Dynamics (4 papers). Gen Lin is often cited by papers focused on Fungal and yeast genetics research (9 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genomics and Chromatin Dynamics (4 papers). Gen Lin collaborates with scholars based in United States, Germany and India. Gen Lin's co-authors include Lars M. Steinmetz, Anje Sporbert, Tuan Leng Tay, Dominic Grün, Marco Prinz, Josef Priller, Anca Margineanu, Thomas Stempfl, Sagar Sagar and Anne Drougard and has published in prestigious journals such as Nature, Nature Communications and Journal of Neuroscience.

In The Last Decade

Gen Lin

24 papers receiving 983 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gen Lin United States 16 435 378 315 104 103 24 994
Irantzu Bernales Spain 12 346 0.8× 225 0.6× 150 0.5× 129 1.2× 65 0.6× 13 979
Ramón Vidal Germany 25 1.1k 2.6× 131 0.3× 177 0.6× 210 2.0× 83 0.8× 47 1.8k
Camilla Lööv Sweden 10 707 1.6× 133 0.4× 121 0.4× 196 1.9× 101 1.0× 12 972
Geoff Stanley United States 8 813 1.9× 202 0.5× 107 0.3× 117 1.1× 59 0.6× 13 1.3k
Benedikt Wefers Germany 17 1.4k 3.3× 280 0.7× 221 0.7× 429 4.1× 181 1.8× 31 1.9k
Julio Navascués Spain 23 631 1.5× 865 2.3× 405 1.3× 36 0.3× 99 1.0× 51 1.5k
Jerome Demmer New Zealand 14 388 0.9× 79 0.2× 130 0.4× 175 1.7× 41 0.4× 22 911
Zhongyuan Zuo United States 23 668 1.5× 121 0.3× 78 0.2× 149 1.4× 224 2.2× 39 1.3k
Mark D. Zabel United States 23 1.4k 3.3× 618 1.6× 321 1.0× 55 0.5× 137 1.3× 47 1.9k
Javier Francisco‐Morcillo Spain 18 554 1.3× 88 0.2× 69 0.2× 39 0.4× 148 1.4× 44 838

Countries citing papers authored by Gen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Gen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gen Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Gen Lin. A scholar is included among the top collaborators of Gen 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 Gen Lin. Gen 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.
Bryant, Annie G., Zhaozhi Li, Alberto Serrano‐Pozo, et al.. (2023). Endothelial Cells Are Heterogeneous in Different Brain Regions and Are Dramatically Altered in Alzheimer's Disease. Journal of Neuroscience. 43(24). 4541–4557. 31 indexed citations
2.
Li, Bingnan, Patrice Zeis, Gen Lin, et al.. (2023). Differential regulation of mRNA stability modulates transcriptional memory and facilitates environmental adaptation. Nature Communications. 14(1). 8 indexed citations
3.
Neumayr, Christoph, Vanja Haberle, Leonid Serebreni, et al.. (2022). Differential cofactor dependencies define distinct types of human enhancers. Nature. 606(7913). 406–413. 55 indexed citations
4.
Serrano‐Pozo, Alberto, Zhaozhi Li, Maya E. Woodbury, et al.. (2022). A brain atlas of astrocyte transcriptomics unveils complex states and responses to Alzheimer’s disease neuropathology. Alzheimer s & Dementia. 18(S4). 1 indexed citations
5.
Cui, Can, Dengwen Zhang, Haifeng Li, et al.. (2021). Propofol maintains Th17/Treg cell balance and reduces inflammation in rats with traumatic brain injury via the miR‑145‑3p/NFATc2/NF‑κB axis. International Journal of Molecular Medicine. 48(1). 23 indexed citations
6.
Shinohara, Miki, et al.. (2021). Regulation of Msh4-Msh5 association with meiotic chromosomes in budding yeast. Genetics. 219(2). 11 indexed citations
7.
Obrdlík, Aleš, Gen Lin, Nejc Haberman, Jernej Ule, & Anne Ephrussi. (2019). The Transcriptome-wide Landscape and Modalities of EJC Binding in Adult Drosophila. Cell Reports. 28(5). 1219–1236.e11. 18 indexed citations
8.
Tay, Tuan Leng, Dominic Mai, Francisco Fernández‐Klett, et al.. (2017). A new fate mapping system reveals context-dependent random or clonal expansion of microglia. Nature Neuroscience. 20(6). 793–803. 425 indexed citations
9.
Lin, Gen, et al.. (2017). Modulating Crossover Frequency and Interference for Obligate Crossovers inSaccharomyces cerevisiaeMeiosis. G3 Genes Genomes Genetics. 7(5). 1511–1524. 28 indexed citations
10.
Zhao, Jingfeng, Ji-Xia Ren, Nan Wang, et al.. (2017). Crystal structure of the second fibronectin type III (FN3) domain from human collagen α1 type XX. Acta Crystallographica Section F Structural Biology Communications. 73(12). 695–700. 6 indexed citations
11.
Radhakrishnan, Aparna, et al.. (2016). Meiotic Interactors of a Mitotic Gene TAO3 Revealed by Functional Analysis of its Rare Variant. G3 Genes Genomes Genetics. 6(8). 2255–2263. 2 indexed citations
12.
Bader, Daniel M., Stefan Wilkening, Gen Lin, et al.. (2015). Negative feedback buffers effects of regulatory variants. Molecular Systems Biology. 11(1). 29 indexed citations
13.
Radhakrishnan, Aparna, et al.. (2015). Temporal Expression Profiling Identifies Pathways Mediating Effect of Causal Variant on Phenotype. PLoS Genetics. 11(6). e1005195–e1005195. 15 indexed citations
15.
Wilkening, Stefan, Manu M. Tekkedil, Gen Lin, et al.. (2013). Genotyping 1000 yeast strains by next-generation sequencing. BMC Genomics. 14(1). 90–90. 40 indexed citations
16.
Wilkening, Stefan, Gen Lin, E. Fritsch, et al.. (2013). An Evaluation of High-Throughput Approaches to QTL Mapping in Saccharomyces cerevisiae. Genetics. 196(3). 853–865. 59 indexed citations
17.
Huang, Chang‐Wen, Shao‐Yang Hu, Gen Lin, et al.. (2012). Differential expression patterns of growth-related microRNAs in the skeletal muscle of Nile tilapia (Oreochromis niloticus)1. Journal of Animal Science. 90(12). 4266–4279. 77 indexed citations
18.
Wilder‐Smith, Annelies, Arul Earnest, David Koh, et al.. (2012). Transient Immune Impairment After a Simulated Long-Haul Flight. Aviation Space and Environmental Medicine. 83(4). 418–423. 8 indexed citations
19.
Chong, Shu Zhen, Kok Loon Wong, Gen Lin, et al.. (2011). Human CD8 T cells drive Th1 responses through differentiation of TNF/iNOS-producing dendritic cells (147.4). The Journal of Immunology. 186(1_Supplement). 147.4–147.4. 3 indexed citations
20.
Chong, Shu Zhen, Kok Loon Wong, Gen Lin, et al.. (2011). Human CD8+ T cells drive Th1 responses through the differentiation of TNF/iNOS‐producing dendritic cells. European Journal of Immunology. 41(6). 1639–1651. 30 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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