Gufa Lin

1.2k total citations
37 papers, 935 citations indexed

About

Gufa Lin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Gufa Lin has authored 37 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Cell Biology. Recurrent topics in Gufa Lin's work include Developmental Biology and Gene Regulation (10 papers), Regulation of Appetite and Obesity (6 papers) and Biochemical Analysis and Sensing Techniques (5 papers). Gufa Lin is often cited by papers focused on Developmental Biology and Gene Regulation (10 papers), Regulation of Appetite and Obesity (6 papers) and Biochemical Analysis and Sensing Techniques (5 papers). Gufa Lin collaborates with scholars based in China, United States and United Kingdom. Gufa Lin's co-authors include Jonathan Slack, Ying Chen, Ying Chen, Joan M. Lemire, Michael Levin, Vaibhav P. Pai, Jean‐François Paré, Ying Chen, Xiaoyan Ding and Qinghua Tao and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Development.

In The Last Decade

Gufa Lin

35 papers receiving 931 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gufa Lin China 15 768 195 122 101 92 37 935
Tatiana Sandoval‐Guzmán Germany 12 503 0.7× 191 1.0× 82 0.7× 29 0.3× 115 1.3× 26 870
Senda Jiménez‐Delgado Spain 16 764 1.0× 241 1.2× 305 2.5× 45 0.4× 79 0.9× 22 1.2k
Shoko Ishibashi United Kingdom 12 598 0.8× 105 0.5× 129 1.1× 40 0.4× 111 1.2× 19 834
Paola Iacopetti Italy 13 416 0.5× 143 0.7× 123 1.0× 42 0.4× 64 0.7× 20 702
Nick R. Love United Kingdom 10 506 0.7× 78 0.4× 110 0.9× 34 0.3× 49 0.5× 11 732
Toby Lieber United States 14 1.2k 1.6× 294 1.5× 181 1.5× 65 0.6× 183 2.0× 17 1.4k
Martin Kragl Germany 9 729 0.9× 85 0.4× 160 1.3× 47 0.5× 141 1.5× 18 1.1k
Anne Uv Sweden 20 998 1.3× 359 1.8× 329 2.7× 98 1.0× 123 1.3× 28 1.5k
Sören Moritz Germany 9 972 1.3× 261 1.3× 53 0.4× 48 0.5× 54 0.6× 13 1.2k
Bradley W. Jones United States 10 654 0.9× 425 2.2× 132 1.1× 71 0.7× 116 1.3× 11 943

Countries citing papers authored by Gufa Lin

Since Specialization
Citations

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

Fields of papers citing papers by Gufa Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gufa Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Gufa Lin. A scholar is included among the top collaborators of Gufa 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 Gufa Lin. Gufa 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.
Xu, Xu, Feng Gao, Qixin Chen, et al.. (2025). F-box/LRR-repeat protein 12 reorchestrated microglia to inhibit scarring and achieve adult spinal cord injury repair. Signal Transduction and Targeted Therapy. 10(1). 259–259.
2.
Zhu, Yanjing, Ruiqi Huang, Liqun Yu, et al.. (2025). Engineered thoracic spinal cord organoids for transplantation after spinal cord injury. Nature Biomedical Engineering.
3.
Wang, Rui, Huiran Yang, Yizhen He, et al.. (2024). Selectively targeting the AdipoR2-CaM-CaMKII-NOS3 axis by SCM-198 as a rapid-acting therapy for advanced acute liver failure. Nature Communications. 15(1). 10690–10690. 3 indexed citations
4.
Wu, Zhourui, Ran Zhu, Yan Yu, et al.. (2023). Spinal cord injury-activated C/EBPβ-AEP axis mediates cognitive impairment through APP C586/Tau N368 fragments spreading. Progress in Neurobiology. 227. 102467–102467. 10 indexed citations
5.
Chen, Youwei, Ying Chen, Huahua Liu, et al.. (2023). Short C-terminal Musashi-1 proteins regulate pluripotency states in embryonic stem cells. Cell Reports. 42(10). 113308–113308. 2 indexed citations
6.
Liu, Jiali, Jinxin Liu, Mingyue Li, et al.. (2023). Division of developmental phases of freshwater leech Whitmania pigra and key genes related to neurogenesis revealed by whole genome and transcriptome analysis. BMC Genomics. 24(1). 203–203. 2 indexed citations
7.
Peng, Kai, Rui Zou, Chenxi Wu, et al.. (2022). Snail regulates Hippo signalling-mediated cell proliferation and tissue growth in Drosophila. Open Biology. 12(3). 5 indexed citations
8.
Wang, Xiaozhu, Song Xue, Xiaowei Lei, et al.. (2022). Pharmacological Evaluation of Melanocortin 2 Receptor Accessory Protein 2 on Axolotl Neural Melanocortin Signaling. Frontiers in Endocrinology. 13. 820896–820896. 3 indexed citations
9.
Lin, Gufa, et al.. (2022). Toll‐7 promotes tumour growth and invasion in Drosophila. Cell Proliferation. 55(2). e13188–e13188. 7 indexed citations
10.
Li, Xinyun, et al.. (2022). High-resolution single-cell analysis paves the cellular path for brain regeneration in salamanders. Cell Regeneration. 11(1). 37–37. 1 indexed citations
11.
Xue, Song, Cong Zhang, Yu Liu, et al.. (2021). Pharmacological evaluation of MRAP proteins on Xenopus neural melanocortin signaling. Journal of Cellular Physiology. 236(9). 6344–6361. 11 indexed citations
12.
Chen, Ying, et al.. (2017). Generation of iPSC-derived limb progenitor-like cells for stimulating phalange regeneration in the adult mouse. Cell Discovery. 3(1). 17046–17046. 18 indexed citations
13.
Pai, Vaibhav P., Joan M. Lemire, Jean‐François Paré, et al.. (2015). Endogenous Gradients of Resting Potential Instructively Pattern Embryonic Neural Tissue via Notch Signaling and Regulation of Proliferation. Journal of Neuroscience. 35(10). 4366–4385. 105 indexed citations
14.
Pai, Vaibhav P., Joan M. Lemire, Ying Chen, Gufa Lin, & Michael Levin. (2015). Local and long-range endogenous resting potential gradients antagonistically regulate apoptosis and proliferation in the embryonic CNS. The International Journal of Developmental Biology. 59(7-8-9). 327–340. 49 indexed citations
15.
Chen, Ying, et al.. (2012). Micro‐Computed Tomography for Visualizing Limb Skeletal Regeneration in Young Xenopus Frogs. The Anatomical Record. 295(10). 1562–1565. 7 indexed citations
16.
Lin, Gufa & Jonathan Slack. (2008). Requirement for Wnt and FGF signaling in Xenopus tadpole tail regeneration. Developmental Biology. 319(2). 558–558. 4 indexed citations
17.
Lin, Gufa & Jonathan Slack. (2008). Requirement for Wnt and FGF signaling in Xenopus tadpole tail regeneration. Developmental Biology. 316(2). 323–335. 139 indexed citations
18.
Slack, Jonathan, et al.. (2007). Molecular and Cellular Basis of Regeneration and Tissue Repair. Cellular and Molecular Life Sciences. 65(1). 54–63. 108 indexed citations
19.
Lin, Gufa, Ying Chen, & Jonathan Slack. (2007). Regeneration of neural crest derivatives in the Xenopustadpole tail. BMC Developmental Biology. 7(1). 56–56. 43 indexed citations
20.
Geng, Xin, Lei Xiao, Gufa Lin, et al.. (2003). Lef/Tcf‐dependent Wnt/β‐catenin signaling during Xenopus axis specification. FEBS Letters. 547(1-3). 1–6. 18 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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