Chi‐Lun Chang

4.5k total citations · 2 hit papers
27 papers, 3.0k citations indexed

About

Chi‐Lun Chang is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Chi‐Lun Chang has authored 27 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Cell Biology and 5 papers in Surgery. Recurrent topics in Chi‐Lun Chang's work include Cellular transport and secretion (6 papers), Sphingolipid Metabolism and Signaling (6 papers) and Lipid metabolism and biosynthesis (5 papers). Chi‐Lun Chang is often cited by papers focused on Cellular transport and secretion (6 papers), Sphingolipid Metabolism and Signaling (6 papers) and Lipid metabolism and biosynthesis (5 papers). Chi‐Lun Chang collaborates with scholars based in United States, Taiwan and Canada. Chi‐Lun Chang's co-authors include Jen Liou, Jennifer Lippincott‐Schwartz, Maria S. Ioannou, Benjamin R. Nelson, Catherine A. Makarewich, P. Kasaragod, John McAnally, John M. Shelton, Douglas M. Anderson and K.M. Anderson and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Chi‐Lun Chang

27 papers receiving 3.0k citations

Hit Papers

A Micropeptide Encoded by a Putative Long Noncoding RNA R... 2015 2026 2018 2022 2015 2019 250 500 750

Peers

Chi‐Lun Chang
Comparison fields: 5 of 115
  • Molecular Biology 2.1k
  • Cell Biology 673
  • Cancer Research 665
  • Physiology 414
  • Cellular and Molecular Neuroscience 347
Sebastian Munck Belgium
Daniel M. Raben United States
Alice Lin United States
Laura Riboni Italy
Thierry Grand‐Perret France
Deborah J. Stumpo United States
Molly Plovanich United States
Hitoshi Matsushime Japan
James Sinnett‐Smith United States
Robert S. Freeman United States
Sebastian Munck Belgium View profile →
Citations per field, relative to Chi‐Lun Chang
Chi‐Lun Chang · 1×
Citations per year, relative to Chi‐Lun Chang
Chi‐Lun Chang · 1×

Countries citing papers authored by Chi‐Lun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Lun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi‐Lun Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Lun Chang. A scholar is included among the top collaborators of Chi‐Lun 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 Chi‐Lun Chang. Chi‐Lun 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
# Work Indexed citations
1 10
2 4
3 23
4 168
5 139
6
Neuron-Astrocyte Metabolic Coupling Protects against Activity-Induced Fatty Acid Toxicity breakdown →
489
7 55
8 42
9 45
10 111
11
A Micropeptide Encoded by a Putative Long Noncoding RNA Regulates Muscle Performance breakdown →
906
12 4
13 37
14 270
15 72
16 62
17 63
18 31
19 22
20 29

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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