Jen‐Sing Liu

628 citations
17 papers · 506 · h-index 13

Impact in

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

Papers in

Jen‐Sing Liu

16 papers receiving 494 citations

Peers

Jen‐Sing Liu
Comparison fields: 5 of 60
  • Oncology 163
  • Epidemiology 195
  • Molecular Biology 333
  • Cancer Research 57
  • Genetics 100
Replace Shu‐Ru Kuo with:
Shu‐Ru Kuo United States
K.C. Garbutt United States
David E. Breiding United States
Rosa T. Sterk United States
Francisca Méchali France
Alexandra Dittmer Germany
Stefanie A.H. de Poot Netherlands
Nicolas Tanguy Le Gac France
Michael K. Urban United States
Esther E. Biswas United States
Jen‐Sing Liu relative to Shu‐Ru Kuo United States Shu‐Ru Kuo's profile →
Citations per field
00.5×1.7×
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 25 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

17 of 17 papers shown
#Work
1 199898
2 199988
3 199568
4 200041
5 200038
6 199828
7 198725
8
Induction of DNA damage responses by adozelesin is S phase-specific and dependent on active replication forks.
200321
9 200620
10 201919
11 200115
12 200114
13 199813
14 199910
15 20175
16 19923
17 20240

About Jen‐Sing Liu

Jen‐Sing Liu is a scholar working on Molecular Biology, Cancer Research, Organic Chemistry, Epidemiology and Pathology and Forensic Medicine, having authored 17 papers that have together received 506 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Cancer therapeutics and mechanisms (3 papers), Cervical Cancer and HPV Research (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Genetic factors in colorectal cancer (2 papers), Hepatitis B Virus Studies (2 papers), Cyclization and Aryne Chemistry (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Oncology (163 citations), Epidemiology (195 citations), Molecular Biology (333 citations), Cancer Research (57 citations) and Genetics (100 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 Melendy, Thomas R. Broker, Thomas R. Broker, Terry A. Beerman, Teresa S.‐F. Wang, Douglas Cyr, Jack D. Griffith and Alexander M. Makhov. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, FEBS Letters, Oncotarget 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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