Geng Liu

4.3k citations
42 papers · 3.3k indexed · 2 hit papers · h-index 25
Topics
Cancer-related Molecular Pathways (13 papers)Epigenetics and DNA Methylation (9 papers)Ubiquitin and proteasome pathways (8 papers)

In The Last Decade

Geng Liu

41 papers receiving 3.2k citations

Hit Papers

Gain of Function of a p53 Hot Spot Mutation in a Mouse Mo...200420262011201820042005250500750

Peers

Geng Liu
Comparison fields: 5 of 106
  • Molecular Biology 2.4k
  • Oncology 2.1k
  • Cancer Research 640
  • Biotechnology 443
  • Cell Biology 248
Replace Gareth L. Bond with:
Gareth L. Bond United Kingdom
Stephano S. Mello Brazil
Frances Kittrell United States
Bill Spohn United States
Yadi Wu United States
Gianluca Bossi Italy
Elisabeth E. Bond United States
Karsten Zieger Denmark
Elke Markert United Kingdom
Kay E. Gurley United States
Geng Liu relative to Gareth L. Bond United Kingdom Gareth L. Bond's profile →
Citations per field
00.5×1.5×1.9×
Gareth L. Bond · 1×
Citations per year

Countries citing papers authored by Geng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Geng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Geng Liu. A scholar is included among the top collaborators of Geng Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geng Liu. Geng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 61
4 13
5 2
6 9
7 24
8 69
9 37
10 31
11 174
12 85
13
p53 isoforms can regulate p53 transcriptional activitybreakdown →
631
14 56
15
Gain of Function of a p53 Hot Spot Mutation in a Mouse Model of Li-Fraumeni Syndromebreakdown →
822
16 256
17
The anti-virus and hepatoprotective effect of bicyclol and its mechanism of action
34
18 82
19 25
20 98

About Geng Liu

Geng Liu is a scholar working on Oncology, Cancer Research and Molecular Biology, having authored 42 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (13 papers), Epigenetics and DNA Methylation (9 papers) and Ubiquitin and proteasome pathways (8 papers). The work is most often cited by research in Oncology (2.1k citations), Biotechnology (443 citations) and Cancer Research (640 citations). Geng Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Guillermina Lozano, Adel K. El‐Naggar, Dimitris P. Xirodimas, John M. Parant, Kenneth Fernandes, Jean‐Christophe Bourdon, David P. Lane, Alexandra Diot, Mark K. Saville and Lisa Caldwell. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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