Peter Chi

2.8k citations
49 papers · 1.8k · h-index 22

Impact in

    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • DNA and Nucleic Acid Chemistry
    • Polyamine Metabolism and Applications
  • Urology top 10%
    • Hair Growth and Disorders

Papers in

Peter Chi

48 papers receiving 1.8k citations

Peers

Peter Chi
Comparison fields: 5 of 45
  • Molecular Biology 1.4k
  • Urology 27
  • Physiology 45
  • Reproductive Medicine 17
  • Genetics 42
Replace Naomi Moris with:
Naomi Moris United Kingdom
Steven L. Sanders United States
Jeremy Lynn Balsbaugh United States
Gerwin Westfield United States
James M. Dewar United States
Claire Heichette France
Anne D. Donaldson United Kingdom
Ken Kitano Japan
Robin van Schendel Netherlands
Nicole Happel Germany
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Citations per field
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Citations per year

Countries citing papers authored by Peter Chi

Since Specialization
Citations

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

Fields of papers citing papers by Peter Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010313
2 2013257
3 2006156
4 2006107
5 200768
6 200666
7 201960
8 200459
9 201349
10 200846
11 200944
12 202042
13 201640
14 201236
15 201736
16 200829
17 201829
18 202028
19 201327
20 200826

About Peter Chi

Peter Chi is a scholar working on Molecular Biology, Urology, Biomaterials, Computational Theory and Mathematics and Oncology, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (42 papers), Calcium Carbonate Crystallization and Inhibition (1 paper), Telomeres, Telomerase, and Senescence (1 paper), PARP inhibition in cancer therapy (1 paper), Computational Drug Discovery Methods (1 paper), Hair Growth and Disorders (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Molecular Biology (1.4k citations), Urology (27 citations), Physiology (45 citations), Reproductive Medicine (17 citations) and Genetics (42 citations). Peter Chi has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Patrick Sung, Youngho Kwon, Michael G. Sehorn, Hengyao Niu, Grzegorz Ira, Changhyun Seong, Stephen Van Komen, Weixing Zhao, Stefán Sigurðsson and Hannah L. Klein. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and DNA repair.

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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