Chieh Chang

2.2k total citations · 1 hit paper
37 papers, 1.7k citations indexed

About

Chieh Chang is a scholar working on Aging, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Chieh Chang has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Aging, 17 papers in Molecular Biology and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Chieh Chang's work include Genetics, Aging, and Longevity in Model Organisms (22 papers), Circadian rhythm and melatonin (8 papers) and Axon Guidance and Neuronal Signaling (5 papers). Chieh Chang is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (22 papers), Circadian rhythm and melatonin (8 papers) and Axon Guidance and Neuronal Signaling (5 papers). Chieh Chang collaborates with scholars based in United States, China and Taiwan. Chieh Chang's co-authors include Zena Werb, Chiou‐Fen Chuang, Paul W. Sternberg, Hui Chiu, Cornelia I. Bargmann, Yi‐Wen Hsieh, Yan Zou, Marc Tessier‐Lavigne, Elliot M. Meyerowitz and Anna P. Newman and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Chieh Chang

36 papers receiving 1.6k citations

Hit Papers

The many faces of metalloproteases: cell growth, invasion... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chieh Chang United States 20 840 497 353 298 207 37 1.7k
Peggy Janich Germany 21 1.1k 1.3× 141 0.3× 277 0.8× 119 0.4× 279 1.3× 24 1.9k
Elliott J. Hagedorn United States 23 1.2k 1.4× 301 0.6× 386 1.1× 153 0.5× 223 1.1× 29 2.1k
Go Shioi Japan 29 2.1k 2.5× 120 0.2× 670 1.9× 369 1.2× 219 1.1× 52 3.1k
Katja Hebestreit United States 15 1.6k 1.9× 227 0.5× 199 0.6× 124 0.4× 108 0.5× 19 2.4k
Ruth Miskin Israel 32 1.5k 1.8× 233 0.5× 822 2.3× 168 0.6× 329 1.6× 68 2.9k
Ann M. Wehman United States 20 1.5k 1.8× 198 0.4× 160 0.5× 384 1.3× 55 0.3× 35 2.4k
Miki Ebisuya Japan 22 1.7k 2.0× 99 0.2× 229 0.6× 166 0.6× 218 1.1× 32 2.3k
Guiomar Solanas Spain 15 827 1.0× 205 0.4× 109 0.3× 133 0.4× 190 0.9× 18 1.6k
Li He United States 27 1.9k 2.3× 176 0.4× 349 1.0× 465 1.6× 337 1.6× 70 3.8k
Sarah B. Pierce United States 25 2.8k 3.3× 433 0.9× 187 0.5× 318 1.1× 193 0.9× 32 4.0k

Countries citing papers authored by Chieh Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chieh Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chieh Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chieh Chang. A scholar is included among the top collaborators of Chieh 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 Chieh Chang. Chieh Chang 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.
Chang, Chieh, et al.. (2025). Epigenetic information loss is a common feature of multiple diseases and aging. GeroScience. 48(2). 2311–2325. 1 indexed citations
2.
Chang, Chieh, et al.. (2025). Human gut microbiome determining athletes’ performance: An insight from genomic analysis. Ecological Genetics and Genomics. 34. 100327–100327. 2 indexed citations
4.
Suzuki, Nobuko, Yan Zou, HaoSheng Sun, et al.. (2022). Two intrinsic timing mechanisms set start and end times for dendritic arborization of a nociceptive neuron. Proceedings of the National Academy of Sciences. 119(45). e2210053119–e2210053119. 6 indexed citations
5.
Chiu, Hui, Yan Zou, Nobuko Suzuki, et al.. (2018). Engulfing cells promote neuronal regeneration and remove neuronal debris through distinct biochemical functions of CED-1. Nature Communications. 9(1). 4842–4842. 17 indexed citations
6.
Dong, Xintong, Hui Chiu, Wei Zou, et al.. (2016). Precise regulation of the guidance receptor DMA-1 by KPC-1/Furin instructs dendritic branching decisions. eLife. 5. 24 indexed citations
8.
Hsieh, Yi‐Wen, et al.. (2015). Postmitotic diversification of olfactory neuron types is mediated by differential activities of the HMG ‐box transcription factor SOX ‐2. The EMBO Journal. 34(20). 2574–2589. 27 indexed citations
9.
Chiu, Hui, et al.. (2014). The role of microRNAs in regulating neuronal connectivity. Frontiers in Cellular Neuroscience. 7. 283–283. 32 indexed citations
10.
Zou, Yan, Hui Chiu, Anna Zinovyeva, et al.. (2013). Developmental Decline in Neuronal Regeneration by the Progressive Change of Two Intrinsic Timers. Science. 340(6130). 372–376. 120 indexed citations
11.
Hsieh, Yi‐Wen, Chieh Chang, & Chiou‐Fen Chuang. (2012). The MicroRNA mir-71 Inhibits Calcium Signaling by Targeting the TIR-1/Sarm1 Adaptor Protein to Control Stochastic L/R Neuronal Asymmetry in C. elegans. PLoS Genetics. 8(8). e1002864–e1002864. 48 indexed citations
12.
Chiu, Hui, et al.. (2011). C. elegansas a genetic model to identify novel cellular and molecular mechanisms underlying nervous system regeneration. Cell Adhesion & Migration. 5(5). 387–394. 14 indexed citations
13.
Lekmine, Fatima, Chieh Chang, Nan Sethakorn, Tapas K. Das Gupta, & George I. Salti. (2007). Role of microphthalmia transcription factor (Mitf) in melanoma differentiation. Biochemical and Biophysical Research Communications. 354(3). 830–835. 35 indexed citations
14.
Chang, Chieh, Carolyn E. Adler, Matthias Krause, et al.. (2006). MIG-10/Lamellipodin and AGE-1/PI3K Promote Axon Guidance and Outgrowth in Response to Slit and Netrin. Current Biology. 16(9). 854–862. 109 indexed citations
15.
Chang, Chieh, Timothy W. Yu, Cornelia I. Bargmann, & Marc Tessier‐Lavigne. (2004). Inhibition of Netrin-Mediated Axon Attraction by a Receptor Protein Tyrosine Phosphatase. Science. 305(5680). 103–106. 56 indexed citations
16.
Chang, Chieh & Zena Werb. (2001). The many faces of metalloproteases: cell growth, invasion, angiogenesis and metastasis. Trends in Cell Biology. 11(11). S37–S43. 561 indexed citations breakdown →
17.
Chang, Chieh. (2000). Caenorhabditis elegans SOS-1 is necessary for multiple RAS-mediated developmental signals. The EMBO Journal. 19(13). 3283–3294. 57 indexed citations
18.
Chang, Chieh & Paul W. Sternberg. (1999). C. elegans Vulval Development as a Model System to Study the Cancer Biology of EGFR Signaling. Cancer and Metastasis Reviews. 18(2). 203–213. 34 indexed citations
19.
Hsieh, Justin T., et al.. (1999). The RING finger/B-Box factor TAM-1 and a retinoblastoma-like protein LIN-35 modulate context-dependent gene silencing in Caenorhabditis elegans. Genes & Development. 13(22). 2958–2970. 98 indexed citations
20.
Chang, Chieh, Anna P. Newman, & Paul W. Sternberg. (1999). Reciprocal EGF signaling back to the uterus from the induced C. elegans vulva coordinates morphogenesis of epithelia. Current Biology. 9(5). 237–246. 70 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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