Chih‐Lin Hsieh

8.4k citations
77 papers · 4.2k indexed · 1 hit paper · h-index 33
    • Epigenetics and DNA Methylation 22
    • DNA Repair Mechanisms 20
    • Cancer-related gene regulation 15
    • Genomics and Chromatin Dynamics 15
    • CRISPR and Genetic Engineering 9
    • RNA modifications and cancer 7
  • Genetics top 2%
    • Genetics and Neurodevelopmental Disorders 10
  • Aging top 10%
  • Immunology top 10%
    • T-cell and B-cell Immunology 6

Chih‐Lin Hsieh

76 papers receiving 4.1k citations

Hit Papers

Germline Competent Embryonic Stem Cells Derived from Rat ...5012008202620142020100200300400500

Peers

Chih‐Lin Hsieh
Comparison fields: 5 of 115
  • Molecular Biology 3.6k
  • Genetics 988
  • Cancer Research 299
  • Aging 31
  • Immunology 321
Replace Stefan G. E. Roberts with:
Stefan G. E. Roberts United Kingdom
Kenichi Nishioka Japan
Anders Lade Nielsen Denmark
Félix Recillas‐Targa Mexico
Luca Cartegni United States
Laurie Jackson‐Grusby United States
Jeffrey Rosenfeld United States
Chih-Lin Hsieh United States
Felicidad A. Gonzales United States
Laura P. O’Neill United Kingdom
Chih‐Lin Hsieh relative to Stefan G. E. Roberts United Kingdom Stefan G. E. Roberts's profile →
Citations per field
00.5×1.5×1.9×
Stefan G. E. Roberts · 1×
Citations per year

Countries citing papers authored by Chih‐Lin Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Lin Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Lin Hsieh. 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 Chih‐Lin Hsieh. The network helps show where Chih‐Lin Hsieh may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 202011
3 20155
4 201221
5 20127
6 2007121
7 200623
8 200589
9 200282
10 2002116
11 20006
12 200051
13 1999202
14 1999119
15 199839
16 199515
17 199138
18 199031
19 199027
20 19903

About Chih‐Lin Hsieh

Chih‐Lin Hsieh is a scholar working on Molecular Biology, Genetics and Aging, having authored 77 papers that have together received 4.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (22 papers), DNA Repair Mechanisms (20 papers), Cancer-related gene regulation (15 papers), Genomics and Chromatin Dynamics (15 papers), Genetics and Neurodevelopmental Disorders (10 papers), CRISPR and Genetic Engineering (9 papers), RNA modifications and cancer (7 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Genetics (988 citations) and Cancer Research (299 citations). Chih‐Lin Hsieh has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Michael R. Lieber, Frédéric Chédin, Cindy Yen Okitsu, Uta Francke, Martín F. Pera, Ryan A. Irvine, Qi‐Long Ying, Houyan Song, Jia Li and Robert E. Maxson. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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