Rihe Liu

4.6k total citations · 2 hit papers
65 papers, 3.3k citations indexed

About

Rihe Liu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Rihe Liu has authored 65 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 15 papers in Immunology and 14 papers in Oncology. Recurrent topics in Rihe Liu's work include RNA and protein synthesis mechanisms (15 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Cancer Immunotherapy and Biomarkers (11 papers). Rihe Liu is often cited by papers focused on RNA and protein synthesis mechanisms (15 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Cancer Immunotherapy and Biomarkers (11 papers). Rihe Liu collaborates with scholars based in United States, China and Hong Kong. Rihe Liu's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Rihe Liu

64 papers receiving 3.3k citations

Hit Papers

Synergistic and low adverse effect cancer immunotherapy b... 2018 2026 2020 2023 2018 2024 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rihe Liu United States 31 1.7k 892 810 751 488 65 3.3k
Flavio Curnis Italy 34 2.1k 1.2× 683 0.8× 1.5k 1.8× 393 0.5× 480 1.0× 79 3.9k
Gary J. Doherty United Kingdom 19 2.3k 1.3× 471 0.5× 637 0.8× 409 0.5× 389 0.8× 44 4.2k
Anne Clavreul France 27 1.6k 0.9× 338 0.4× 445 0.5× 661 0.9× 673 1.4× 61 3.0k
Lilach Agemy Israel 16 1.8k 1.1× 407 0.5× 554 0.7× 1.1k 1.5× 1.2k 2.4× 27 3.2k
Fabio Pastorino Italy 36 2.1k 1.2× 513 0.6× 803 1.0× 462 0.6× 614 1.3× 90 3.5k
In-San Kim South Korea 36 2.1k 1.2× 554 0.6× 535 0.7× 886 1.2× 967 2.0× 68 3.8k
Gustavo Helguera United States 25 1.4k 0.8× 304 0.3× 415 0.5× 518 0.7× 711 1.5× 45 2.8k
Kevin J. Yarema United States 43 3.9k 2.2× 451 0.5× 525 0.6× 515 0.7× 416 0.9× 108 5.2k
Dinorah Friedmann‐Morvinski Israel 27 2.2k 1.3× 536 0.6× 924 1.1× 569 0.8× 310 0.6× 49 3.9k
Julie L. Prior United States 33 1.8k 1.1× 1.0k 1.1× 1.5k 1.9× 352 0.5× 113 0.2× 63 4.1k

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
1.
Fan, Lei, Keliang Gao, Jingjing Li, et al.. (2023). Ligand-installed polymeric nanocarriers for combination chemotherapy of EGFR-positive ovarian cancer. Journal of Controlled Release. 360. 872–887. 7 indexed citations
2.
Zhang, He, Shuli Wang, Anna M. Wu, et al.. (2023). Development of 18F-Labeled hydrophilic trans-cyclooctene as a bioorthogonal tool for PET probe construction. Chemical Communications. 59(97). 14387–14390. 3 indexed citations
3.
Das, Manisit, Xuefei Zhou, Yun Liu, et al.. (2020). Tumor neoantigen heterogeneity impacts bystander immune inhibition of pancreatic cancer growth. Translational Oncology. 13(12). 100856–100856. 12 indexed citations
4.
Ahn, Sarah, Jingjing Li, Chuang Sun, et al.. (2019). Cancer Immunotherapy with T Cells Carrying Bispecific Receptors That Mimic Antibodies. Cancer Immunology Research. 7(5). 773–783. 20 indexed citations
5.
Wang, Hanlu, Meng Qin, Rihe Liu, et al.. (2019). Characterization of A Bifunctional Synthetic RNA Aptamer and A Truncated Form for Ability to Inhibit Growth of Non-Small Cell Lung Cancer. Scientific Reports. 9(1). 18836–18836. 15 indexed citations
6.
Hu, Mengying, Ying Wang, Ligeng Xu, et al.. (2019). Relaxin gene delivery mitigates liver metastasis and synergizes with check point therapy. Nature Communications. 10(1). 2993–2993. 104 indexed citations
7.
Song, Wantong, Limei Shen, Ying Wang, et al.. (2018). Synergistic and low adverse effect cancer immunotherapy by immunogenic chemotherapy and locally expressed PD-L1 trap. Nature Communications. 9(1). 2237–2237. 345 indexed citations breakdown →
8.
Wang, Hanlu, Yibang Zhang, Haiping Yang, et al.. (2017). In Vivo SELEX of an Inhibitory NSCLC-Specific RNA Aptamer from PEGylated RNA Library. Molecular Therapy — Nucleic Acids. 10. 187–198. 49 indexed citations
9.
Wang, Hui, Marco Vilela, Andreas Winkler, et al.. (2016). LOVTRAP: an optogenetic system for photoinduced protein dissociation. Nature Methods. 13(9). 755–758. 229 indexed citations
10.
Kim, Dongwook, et al.. (2014). Tetraspecific ligand for tumor-targeted delivery of nanomaterials. Biomaterials. 35(23). 6026–6036. 7 indexed citations
11.
Friedman, Adam, et al.. (2013). The Smart Targeting of Nanoparticles. Current Pharmaceutical Design. 19(35). 6315–6329. 252 indexed citations
12.
Valencia, C. Alexander, Jian‐Wei Zou, & Rihe Liu. (2012). In vitro selection of proteins with desired characteristics using mRNA-display. Methods. 60(1). 55–69. 12 indexed citations
13.
Kim, Dongwook, Yitang Yan, C. Alexander Valencia, & Rihe Liu. (2012). Heptameric Targeting Ligands against EGFR and HER2 with High Stability and Avidity. PLoS ONE. 7(8). e43077–e43077. 13 indexed citations
14.
Cotten, Steven W., Jian‐Wei Zou, C. Alexander Valencia, & Rihe Liu. (2011). Selection of proteins with desired properties from natural proteome libraries using mRNA display. Nature Protocols. 6(8). 1163–1182. 19 indexed citations
15.
Wang, Rong, et al.. (2011). mRNA Display Using Covalent Coupling of mRNA to Translated Proteins. Methods in molecular biology. 805. 87–100. 4 indexed citations
16.
Park, Ki Duk, James P. Stables, Rihe Liu, & Harold Kohn. (2010). Proteomic searches comparing two (R)-lacosamide affinity baits: An electrophilic arylisothiocyanate and a photoactivated arylazide group. Organic & Biomolecular Chemistry. 8(12). 2803–2803. 19 indexed citations
17.
Valencia, C. Alexander, Steven W. Cotten, Biao Dong, & Rihe Liu. (2008). mRNA‐Display‐Based Selections for Proteins with Desired Functions: A Protease‐Substrate Case Study. Biotechnology Progress. 24(3). 561–569. 15 indexed citations
18.
Dong, Biao & Rihe Liu. (2008). Characterization of endogenous and recombinant human calpain-10. Biochimie. 90(9). 1362–1371. 6 indexed citations
19.
Valencia, C. Alexander, et al.. (2007). Novel zebrafish caspase-3 substrates. Biochemical and Biophysical Research Communications. 361(2). 311–316. 19 indexed citations
20.
Liu, Rihe, Jeffrey E. Barrick, Jack W. Szostak, & Richard W. Roberts. (2000). [19] Optimized synthesis of RNA-protein fusions for in vitro protein selection. Methods in enzymology on CD-ROM/Methods in enzymology. 318. 268–293. 131 indexed citations

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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