Chia Cheng Chang

2.3k citations
50 papers · 1.7k indexed · h-index 23

Chia Cheng Chang

45 papers receiving 1.6k citations

Peers

Chia Cheng Chang
Comparison fields: 5 of 129
  • Nuclear and High Energy Physics 463
  • Cancer Research 231
  • Molecular Biology 827
  • Chemical Health and Safety 7
  • Biophysics 55
Replace Hamid R. Eghbalnia with:
Hamid R. Eghbalnia United States
Yoshihisa Yano Japan
J. Schreiber Germany
Robert T. Gampe United States
Midori Iida Japan
Eric D. Watt United States
Yasumitsu Kondoh Japan
Alex Lyakhovich Russia
Leo L. Cheng United States
Hunter Moseley United States
Chia Cheng Chang relative to Hamid R. Eghbalnia United States Hamid R. Eghbalnia's profile →
Citations per field
00.5×1.5×2.4×
Hamid R. Eghbalnia · 1×
Citations per year

Countries citing papers authored by Chia Cheng Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chia Cheng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20224
3 20224
4 202116
5 202144
6 202024
7 20200
8 20186
9
The Slope of Form Factors from Lattice QCD
20182
10 201848
11 2018127
12 201820
13 201743
14 2016119
15 201311
16 200042
17 199548
18 199055
19 198365
20
Inhibition of intercellular communication in Chinese hamster V79 cells by teleocidin.
198216

About Chia Cheng Chang

Chia Cheng Chang is a scholar working on Nuclear and High Energy Physics, Cancer Research and Molecular Biology, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (20 papers), Quantum Chromodynamics and Particle Interactions (18 papers), High-Energy Particle Collisions Research (13 papers), Connexins and lens biology (9 papers), Carcinogens and Genotoxicity Assessment (5 papers), Neutrino Physics Research (4 papers), Effects of Radiation Exposure (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (463 citations), Cancer Research (231 citations) and Molecular Biology (827 citations). Chia Cheng Chang has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include James E. Trosko, Burra V. Madhukar, J E Trosko, James E. Klaunig, André Walker-Loud, E.H.Y. Chu, Ningjing Sun, Chris Bouchard, Stephen T. Warren and Thomas W. Glover. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

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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