Dan Chu

554 citations
20 papers · 466 indexed · h-index 10

Impact in

Papers in

    • Circular RNAs in diseases 6
    • RNA modifications and cancer 3
    • MicroRNA in disease regulation 8
    • Cancer-related molecular mechanisms research 6

Dan Chu

19 papers receiving 456 citations

Peers

Dan Chu
Comparison fields: 5 of 83
  • Cell Biology 242
  • Developmental Neuroscience 24
  • Cancer Research 73
  • Cellular and Molecular Neuroscience 85
  • Molecular Biology 219
Replace Silvia Cainarca with:
Silvia Cainarca Italy
Tsuyoshi Okagaki Japan
Michiko Takeda Japan
Oliver Thompson United Kingdom
Paul A. Oliphint United States
Ria Thomas United States
Hyoung–Soo Lim South Korea
Bingquan Lai China
J D Lindsey United States
Jonathan P. Myers United States
Dan Chu relative to Silvia Cainarca Italy Silvia Cainarca's profile →
Citations per field
00.5×
Silvia Cainarca · 1×
Citations per year

Countries citing papers authored by Dan Chu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1985198
2 198452
3 198651
4 201030
5 202022
6 202016
7 202113
8 202113
9 202213
10 202112
11 20198
12 20218
13 20247
14 20236
15 20246
16 20196
17 20212
18 20232
19
[Expression and bioactivity effects to Hela of recombinant toxin protein rLj-RGD3 from Lampetra japonica].
20091
20 20250

About Dan Chu

Dan Chu is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Pulmonary and Respiratory Medicine and Immunology, having authored 20 papers that have together received 466 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (6 papers), Microtubule and mitosis dynamics (3 papers), RNA modifications and cancer (3 papers), Sperm and Testicular Function (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Cell Biology (242 citations), Developmental Neuroscience (24 citations), Cancer Research (73 citations), Cellular and Molecular Neuroscience (85 citations) and Molecular Biology (219 citations). Dan Chu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include S R Heidemann, Robert E. Buxbaum, Harish Chandra Joshi, Peter W. Baas, Harish C. Joshi, Steven R. Heidemann, Buer Song, Steven E. Lindley, Shi Liu and Jiang Shi. Their work appears in journals such as The Journal of Cell Biology, Journal of Personalized Medicine, Naunyn-Schmiedeberg s Archives of Pharmacology, Journal of Integrative Agriculture and International Journal of Colorectal Disease.

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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