Chen Liu

50.1k total citations · 9 hit papers
1.1k papers, 32.8k citations indexed

About

Chen Liu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Chen Liu has authored 1.1k papers receiving a total of 32.8k indexed citations (citations by other indexed papers that have themselves been cited), including 394 papers in Molecular Biology, 205 papers in Immunology and 182 papers in Oncology. Recurrent topics in Chen Liu's work include Immune Cell Function and Interaction (96 papers), Hematopoietic Stem Cell Transplantation (81 papers) and T-cell and B-cell Immunology (62 papers). Chen Liu is often cited by papers focused on Immune Cell Function and Interaction (96 papers), Hematopoietic Stem Cell Transplantation (81 papers) and T-cell and B-cell Immunology (62 papers). Chen Liu collaborates with scholars based in China, United States and Japan. Chen Liu's co-authors include Pavan Reddy, James L.M. Ferrara, David R. Nelson, Steven M. Reppert, Weihong Tan, Takanori Teshima, Haizhen Zhu, Roniel Cabrera, David R. Weaver and Kenneth R. Cooke and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Chen Liu

1.1k papers receiving 32.3k citations

Hit Papers

Genomic analysis identifies... 1980 2026 1995 2010 2011 2001 1997 2020 2013 400 800 1.2k

Peers

Chen Liu
Comparison fields: 5 of 204
  • Molecular Biology 12.3k
  • Immunology 7.0k
  • Oncology 5.0k
  • Epidemiology 4.0k
  • Hematology 3.9k
Replace Nicoletta Sacchi with:
Nicoletta Sacchi Italy
Yufang Shi China
Hua Wang China
Paul Kubes Canada
Doménico Ribatti Italy
Georg Schett Germany
Ying Wang China
Ting Liu China
Simon C. Watkins United States
Klaus Ley United States
Nicoletta Sacchi Italy View profile →
Citations per field, relative to Chen Liu
Chen Liu · 1×
Citations per year, relative to Chen Liu
Chen Liu · 1×

Countries citing papers authored by Chen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Liu. A scholar is included among the top collaborators of Chen 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 Chen Liu. Chen 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
# Work Indexed citations
1 9
2 2
3 8
4 0
5 1
6 11
7 1
8 2
9 10
10 2
11 58
12 116
13 23
14 31
15 42
16 19
17 122
18 90
19 84
20 213

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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