Li‐Wei Chang

1.7k citations
31 papers · 1.3k · h-index 20

Impact in

Papers in

    • Signaling Pathways in Disease 4
    • Retinoids in leukemia and cellular processes 3
    • RNA and protein synthesis mechanisms 3
    • MicroRNA in disease regulation 4

Li‐Wei Chang

29 papers receiving 1.3k citations

Peers

Li‐Wei Chang
Comparison fields: 5 of 102
  • Cancer Research 275
  • Developmental Neuroscience 72
  • Molecular Biology 823
  • Cellular and Molecular Neuroscience 187
  • Hematology 84
Replace Marta Segarra with:
Marta Segarra Germany
Maddalena Ruggieri Italy
María Victoria Gómez‐Gaviro Spain
Philip B. Daniel United States
R. Toro Spain
Jingxin Qiu United States
Yanyan Jiang United Kingdom
Ji-Ung Jung United States
Tetsuya Taga Japan
H.‐P. Hartung Germany
Li‐Wei Chang relative to Marta Segarra Germany Marta Segarra's profile →
Citations per field
00.5×2.8×
Marta Segarra · 1×
Citations per year

Countries citing papers authored by Li‐Wei Chang

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Wei Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Li‐Wei 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 Li‐Wei Chang Line = papers co-authored together Li‐Wei Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005183
2 2005143
3 2009111
4 2011104
5 201091
6 201267
7 200764
8 200659
9 201057
10 201453
11 201153
12 201550
13 201350
14 201049
15 201036
16 201334
17 201128
18 200427
19 201323
20 200619

About Li‐Wei Chang

Li‐Wei Chang is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Hematology and Genetics, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (4 papers), MicroRNA in disease regulation (4 papers), Nerve injury and regeneration (3 papers), Hereditary Neurological Disorders (3 papers), Retinoids in leukemia and cellular processes (3 papers), RNA and protein synthesis mechanisms (3 papers), Genetic and rare skin diseases. (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Cancer Research (275 citations), Developmental Neuroscience (72 citations), Molecular Biology (823 citations), Cellular and Molecular Neuroscience (187 citations) and Hematology (84 citations). Li‐Wei Chang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Jeffrey Milbrandt, Rakesh Nagarajan, Gary D. Stormo, Jeffrey A. Magee, Hui‐Teng Cheng, Raphael Kopan, Toshiyuki Ohtsuka, Ryoichiro Kageyama, Chin‐Tong Ong and Andreu Viader. Their work appears in journals such as Blood, Journal of Neuroscience, American Journal of Dermatopathology, Journal of Biological Chemistry and PLoS ONE.

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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