Lin-Chun Chang

498 total citations
10 papers, 342 citations indexed

About

Lin-Chun Chang is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Lin-Chun Chang has authored 10 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Cell Biology. Recurrent topics in Lin-Chun Chang's work include Endoplasmic Reticulum Stress and Disease (3 papers), Cellular transport and secretion (3 papers) and RNA modifications and cancer (2 papers). Lin-Chun Chang is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (3 papers), Cellular transport and secretion (3 papers) and RNA modifications and cancer (2 papers). Lin-Chun Chang collaborates with scholars based in United States, South Korea and Taiwan. Lin-Chun Chang's co-authors include Jae U. Jung, Ji‐Seung Yoo, Younho Choi, Suan‐Sin Foo, Weiqiang Chen, Jianning Ge, James W. Bowman, Fang‐Jen S. Lee, Genhong Cheng and Karin Nielsen‐Saines and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Nature Cell Biology.

In The Last Decade

Lin-Chun Chang

10 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin-Chun Chang United States 9 143 109 104 74 62 10 342
Leandro Silva da Costa Brazil 8 152 1.1× 143 1.3× 143 1.4× 106 1.4× 58 0.9× 10 406
Thananya Thongtan Thailand 9 97 0.7× 137 1.3× 188 1.8× 49 0.7× 36 0.6× 13 366
Souichi Nukuzuma Japan 15 152 1.1× 155 1.4× 56 0.5× 47 0.6× 91 1.5× 38 713
Bethann S. Hromatka United States 6 158 1.1× 138 1.3× 37 0.4× 109 1.5× 119 1.9× 7 485
Cecília J. G. de Almeida Brazil 9 200 1.4× 67 0.6× 122 1.2× 109 1.5× 181 2.9× 10 498
Jae Kyung Lee South Korea 7 59 0.4× 129 1.2× 68 0.7× 76 1.0× 66 1.1× 8 311
Deborah Prusak United States 11 137 1.0× 132 1.2× 82 0.8× 84 1.1× 155 2.5× 12 382
Dinesh Kabra India 10 82 0.6× 129 1.2× 146 1.4× 58 0.8× 103 1.7× 12 395
Anirban Roy United States 12 103 0.7× 199 1.8× 81 0.8× 105 1.4× 192 3.1× 15 620
Adrian Coscia United States 6 125 0.9× 173 1.6× 59 0.6× 44 0.6× 38 0.6× 8 325

Countries citing papers authored by Lin-Chun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Lin-Chun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin-Chun Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Lin-Chun Chang. A scholar is included among the top collaborators of Lin-Chun Chang 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 Lin-Chun Chang. Lin-Chun Chang 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.
Kim, Stephanie, Jianning Ge, Do-Kyun Kim, et al.. (2024). TXNIP-mediated crosstalk between oxidative stress and glucose metabolism. PLoS ONE. 19(2). e0292655–e0292655. 13 indexed citations
2.
Lee, Shin-Ae, Lin-Chun Chang, WooRam Jung, et al.. (2023). OASL phase condensation induces amyloid-like fibrillation of RIPK3 to promote virus-induced necroptosis. Nature Cell Biology. 25(1). 92–107. 32 indexed citations
3.
Hill, Andrea A., Myunghoo Kim, Daniel F. Zegarra-Ruiz, et al.. (2022). Acute high-fat diet impairs macrophage-supported intestinal damage resolution. JCI Insight. 8(3). 11 indexed citations
4.
Wu, Wan-Jung, Myunghoo Kim, Lin-Chun Chang, et al.. (2022). Interleukin-1β secretion induced by mucosa-associated gut commensal bacteria promotes intestinal barrier repair. Gut Microbes. 14(1). 2014772–2014772. 35 indexed citations
5.
Saldana-Morales, Fatima B., Myunghoo Kim, Charles Ng, et al.. (2022). Microbiota manipulation to increase macrophage IL-10 improves colitis and limits colitis-associated colorectal cancer. Gut Microbes. 14(1). 2119054–2119054. 49 indexed citations
6.
Zeng, Jianxiong, Yaoming Wang, Zhifei Luo, et al.. (2019). TRIM9-Mediated Resolution of Neuroinflammation Confers Neuroprotection upon Ischemic Stroke in Mice. Cell Reports. 27(2). 549–560.e6. 49 indexed citations
7.
Foo, Suan‐Sin, Weiqiang Chen, Yen Chan, et al.. (2017). Asian Zika virus strains target CD14+ blood monocytes and induce M2-skewed immunosuppression during pregnancy. Nature Microbiology. 2(11). 1558–1570. 114 indexed citations
9.
Chang, Lin-Chun & Fang‐Jen S. Lee. (2011). The RNA helicase Dhh1p cooperates with Rbp1p to promote porin mRNA decay via its non-conserved C-terminal domain. Nucleic Acids Research. 40(3). 1331–1344. 14 indexed citations
10.
Chen, Kuan‐Yu, et al.. (2010). Syt1p promotes activation of Arl1p at the late Golgi to recruit Imh1p. Journal of Cell Science. 123(20). 3478–3489. 20 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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