Linjing Fang

1.3k total citations · 1 hit paper
10 papers, 450 citations indexed

About

Linjing Fang is a scholar working on Molecular Biology, Biophysics and Surgery. According to data from OpenAlex, Linjing Fang has authored 10 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Biophysics and 1 paper in Surgery. Recurrent topics in Linjing Fang's work include Advanced Fluorescence Microscopy Techniques (3 papers), Genomics and Chromatin Dynamics (2 papers) and Cell Image Analysis Techniques (2 papers). Linjing Fang is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (3 papers), Genomics and Chromatin Dynamics (2 papers) and Cell Image Analysis Techniques (2 papers). Linjing Fang collaborates with scholars based in United States, China and Japan. Linjing Fang's co-authors include Uri Manor, Sammy Weiser Novak, Pablo E. Hollstein, Nazma Malik, Nozomi Nishimura, Victorine Muse, Gerald S. Shadel, Nasun Hah, Mohammad Haft‐Javaherian and Jingting Yu and has published in prestigious journals such as Science, Nature Communications and PLoS ONE.

In The Last Decade

Linjing Fang

10 papers receiving 441 citations

Hit Papers

Induction of lysosomal an... 2023 2026 2024 2023 40 80 120
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.

  1. Induction of lysosomal and mitochondrial biogenesis by AMPK phosphorylation of FNIP1
    2023 126 citations Nazma Malik, Bibiana I. Ferreira et al. Science profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Linjing Fang 215 81 57 55 55 10 450
Liang Ji 223 1.0× 109 1.3× 18 0.3× 18 0.3× 97 1.8× 19 623
Peng Xie 523 2.4× 20 0.2× 38 0.7× 21 0.4× 30 0.5× 47 749
Anna H. Klemm 367 1.7× 139 1.7× 54 0.9× 8 0.1× 65 1.2× 26 618
Sammy Weiser Novak 359 1.7× 62 0.8× 7 0.1× 107 1.9× 46 0.8× 17 694
Haoyang Li 323 1.5× 31 0.4× 46 0.8× 25 0.5× 39 0.7× 38 720
Aurélien Rizk 359 1.7× 49 0.6× 15 0.3× 17 0.3× 25 0.5× 16 620
Cara R. Schiavon 242 1.1× 73 0.9× 6 0.1× 29 0.5× 42 0.8× 17 431
Mita Patel 351 1.6× 12 0.1× 11 0.2× 54 1.0× 31 0.6× 8 514
Jason Bini 87 0.4× 33 0.4× 23 0.4× 57 1.0× 86 1.6× 31 749
Jieqiong Lou 228 1.1× 77 1.0× 36 0.6× 27 0.5× 43 0.8× 32 460

Countries citing papers authored by Linjing Fang

Since Specialization
Citations

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

Fields of papers citing papers by Linjing Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linjing Fang

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

All Works

10 of 10 papers shown
1.
Malik, Nazma, Bibiana I. Ferreira, Pablo E. Hollstein, et al.. (2023). Induction of lysosomal and mitochondrial biogenesis by AMPK phosphorylation of FNIP1. Science. 380(6642). eabj5559–eabj5559. 126 indexed citations breakdown →
2.
Li, Junhao, António Pinto‐Duarte, Mark Zander, et al.. (2022). Dnmt3a knockout in excitatory neurons impairs postnatal synapse maturation and increases the repressive histone modification H3K27me3. eLife. 11. 18 indexed citations
3.
López-Díaz, Fernando J., Thom P. Santisakultarm, Linjing Fang, et al.. (2021). Dynamic regulation of CTCF stability and sub-nuclear localization in response to stress. PLoS Genetics. 17(1). e1009277–e1009277. 17 indexed citations
4.
Fang, Linjing, Sammy Weiser Novak, Lyndsey M. Kirk, et al.. (2021). Deep learning-based point-scanning super-resolution imaging. Nature Methods. 18(4). 406–416. 111 indexed citations
5.
Brenner‐Morton, Susan, Jay B. Bikoff, Linjing Fang, et al.. (2020). Differential Loss of Spinal Interneurons in a Mouse Model of ALS. Neuroscience. 450. 81–95. 20 indexed citations
6.
DelGiorno, Kathleen E., Linjing Fang, Chi‐Yeh Chung, et al.. (2020). Tuft Cell Formation Reflects Epithelial Plasticity in Pancreatic Injury: Implications for Modeling Human Pancreatitis. Frontiers in Physiology. 11. 88–88. 34 indexed citations
7.
Pan, Xue, Linjing Fang, Jianfeng Liu, et al.. (2020). Auxin-induced signaling protein nanoclustering contributes to cell polarity formation. Nature Communications. 11(1). 3914–3914. 64 indexed citations
8.
Manor, Uri, Linjing Fang, Jeremy Howard, et al.. (2020). Deep Learning‐Based Point‐Scanning Super‐Resolution Imaging. The FASEB Journal. 34(S1). 1–1. 6 indexed citations
9.
Haft‐Javaherian, Mohammad, Linjing Fang, Victorine Muse, et al.. (2019). Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models. PLoS ONE. 14(3). e0213539–e0213539. 49 indexed citations
10.
Yin, Feng, Shanshun Luo, Yuan Feng, et al.. (2013). Regulation different network analysis of rheumatoid arthritis (RA) and osteoarthritis (OA).. PubMed. 17(18). 2504–11. 5 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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