Rihe Liu

4.6k citations
65 papers · 3.3k indexed · 2 hit papers · h-index 31
Topics
RNA and protein synthesis mechanisms (15 papers)Monoclonal and Polyclonal Antibodies Research (14 papers)Cancer Immunotherapy and Biomarkers (11 papers)

In The Last Decade

Rihe Liu

64 papers receiving 3.3k citations

Hit Papers

Synergistic and low adverse effect cancer immunotherapy b...201820262020202320182024100200300

Peers

Rihe Liu
Comparison fields: 5 of 120
  • Molecular Biology 1.7k
  • Immunology 892
  • Oncology 810
  • Biomedical Engineering 751
  • Biomaterials 488
Replace Gary J. Doherty with:
Gary J. Doherty United Kingdom
Flavio Curnis Italy
Fabio Pastorino Italy
Menotti Ruvo Italy
May C. Morris France
In-San Kim South Korea
Mark S. Dennis United States
Lilach Agemy Israel
Radu V. Stan United States
Shinya Oishi Japan
Rihe Liu relative to Gary J. Doherty United Kingdom Gary J. Doherty's profile →
Citations per field
00.5×1.5×1.9×
Gary J. Doherty · 1×
Citations per year

Countries citing papers authored by Rihe Liu

Since Specialization
Citations

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

Fields of papers citing papers by Rihe Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rihe Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Rihe Liu. A scholar is included among the top collaborators of Rihe 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 Rihe Liu. Rihe 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 7
2 3
3 12
4 20
5 15
6 104
7
Synergistic and low adverse effect cancer immunotherapy by immunogenic chemotherapy and locally expressed PD-L1 trapbreakdown →
345
8 49
9 229
10 7
11 252
12 12
13 13
14 19
15 4
16 19
17 15
18 6
19 19
20 131

About Rihe Liu

Rihe Liu is a scholar working on Aging, Immunology and Molecular Biology, having authored 65 papers that have together received 3.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (15 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Cancer Immunotherapy and Biomarkers (11 papers). The work is most often cited by research in Immunology (892 citations), Biomaterials (488 citations) and Oncology (810 citations). Rihe Liu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Leaf Huang, Tyler J. Goodwin, Adam Friedman, Jack W. Szostak, Ying Wang, C. Alexander Valencia, Limei Shen, Wantong Song, C. Alexander Valencia and Mengying Hu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

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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