Jen‐Sing Liu

577 citations
14 papers · 508 · h-index 12

Impact in

  • Epidemiology top 10%
    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies
    • Cancer-related Molecular Pathways
    • Polyomavirus and related diseases

Papers in

    • DNA Repair Mechanisms 6
    • DNA and Nucleic Acid Chemistry 3
    • Cancer therapeutics and mechanisms 3
    • Cervical Cancer and HPV Research 4
    • Hepatitis B Virus Studies 2

Jen‐Sing Liu

14 papers receiving 491 citations

Peers

Jen‐Sing Liu
Comparison fields: 5 of 55
  • Epidemiology 219
  • Oncology 164
  • Virology 21
  • Molecular Biology 319
  • Genetics 110
Replace Shu‐Ru Kuo with:
Shu‐Ru Kuo United States
Young-Sun Lin Taiwan
David E. Breiding United States
K.C. Garbutt United States
Nicole Brimer United States
Chris W. Lehman United States
Nicole Darricarrère United States
Germán Rosas-Acosta United States
Alexandra Dittmer Germany
Jennifer L. Bromberg-White United States
Jen‐Sing Liu relative to Shu‐Ru Kuo United States Shu‐Ru Kuo's profile →
Citations per field
00.5×1.5×
Shu‐Ru Kuo · 1×
Citations per year

Countries citing papers authored by Jen‐Sing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jen‐Sing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jen‐Sing Liu. 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 Jen‐Sing Liu. The network helps show where Jen‐Sing Liu may publish in the future.

Co-authors

The 19 scholars most cited alongside Jen‐Sing Liu, 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 Jen‐Sing Liu Line = papers co-authored together Jen‐Sing Liu links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1998109
2 199999
3 199572
4 200042
5 200041
6 199830
7 198725
8 200622
9
Induction of DNA damage responses by adozelesin is S phase-specific and dependent on active replication forks.
200320
10 200116
11 200114
12 199911
13 20024
14 19923

About Jen‐Sing Liu

Jen‐Sing Liu is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Organic Chemistry and Pathology and Forensic Medicine, having authored 14 papers that have together received 508 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Cervical Cancer and HPV Research (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Cancer therapeutics and mechanisms (3 papers), Cyclization and Aryne Chemistry (2 papers), Hepatitis B Virus Studies (2 papers), Cancer-related Molecular Pathways (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Epidemiology (219 citations), Oncology (164 citations), Virology (21 citations), Molecular Biology (319 citations) and Genetics (110 citations). Jen‐Sing Liu has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Shu‐Ru Kuo, Louise T. Chow, Thomas R. Broker, Thomas Melendy, Terry A. Beerman, Teresa S.‐F. Wang, Alexander M. Makhov, Jack D. Griffith, Douglas Cyr and Mary M. McHugh. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Journal of Virology, Biochemical and Biophysical Research Communications and Journal of Neurochemistry.

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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