Chieh Chang

2.2k citations
39 papers · 1.7k · h-index 20

Impact in

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 22
    • Axon Guidance and Neuronal Signaling 5
    • Neurobiology and Insect Physiology Research 4
    • Nerve injury and regeneration 3

Chieh Chang

37 papers receiving 1.6k citations

Peers

Chieh Chang
Comparison fields: 5 of 122
  • Aging 444
  • Developmental Neuroscience 128
  • Cancer Research 344
  • Endocrine and Autonomic Systems 158
  • Immunology and Allergy 94
Replace Yoshishige Kimura with:
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Chieh Chang relative to Yoshishige Kimura Japan Yoshishige Kimura's profile →
Citations per field
00.5×2×3×3.8×
Yoshishige Kimura · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Chieh Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chieh Chang Line = papers co-authored together Chieh Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001589
2 2013127
3 2006110
4 200887
5 199971
6 200062
7 199560
8 200456
9 201251
10 201239
11 201236
12 201136
13 201536
14 200736
15 199933
16 201433
17 200032
18 201628
19 201527
20 202021

About Chieh Chang

Chieh Chang is a scholar working on Aging, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Developmental Neuroscience and Molecular Biology, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (22 papers), Circadian rhythm and melatonin (7 papers), Axon Guidance and Neuronal Signaling (5 papers), Neurobiology and Insect Physiology Research (4 papers), CRISPR and Genetic Engineering (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Nerve injury and regeneration (3 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Aging (444 citations), Developmental Neuroscience (128 citations), Cancer Research (344 citations), Endocrine and Autonomic Systems (158 citations) and Immunology and Allergy (94 citations). Chieh Chang has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Zena Werb, Chiou‐Fen Chuang, Hui Chiu, Paul W. Sternberg, Cornelia I. Bargmann, Yi‐Wen Hsieh, Yan Zou, Marc Tessier‐Lavigne, Elliot M. Meyerowitz and Anna P. Newman. Their work appears in journals such as Development, Proceedings of the National Academy of Sciences, The EMBO Journal, PLoS Genetics and Scientific Reports.

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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