Hongyuan Mao

1.5k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Hongyuan Mao is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Virology. According to data from OpenAlex, Hongyuan Mao has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Virology. Recurrent topics in Hongyuan Mao's work include RNA and protein synthesis mechanisms (4 papers), Glycosylation and Glycoproteins Research (3 papers) and RNA modifications and cancer (3 papers). Hongyuan Mao is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Glycosylation and Glycoproteins Research (3 papers) and RNA modifications and cancer (3 papers). Hongyuan Mao collaborates with scholars based in United States and Canada. Hongyuan Mao's co-authors include James R. Williamson, Brian A. Pollok, Scott A. Hart, Amy Schink, John L. Battiste, Ruoying Tan, D.R. Muhandiram, Alan D. Frankel, N. Sambasiva Rao and Susan A. White and has published in prestigious journals such as Science, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Hongyuan Mao

9 papers receiving 1.2k citations

Hit Papers

α Helix-RNA Major Groove Recognition in an HIV-1 Rev Pept... 1996 2026 2006 2016 1996 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongyuan Mao United States 9 1.1k 178 150 129 126 9 1.2k
Charles S. Craik United States 13 521 0.5× 123 0.7× 70 0.5× 65 0.5× 72 0.6× 14 812
Corinne Vivès France 17 782 0.7× 134 0.8× 54 0.4× 58 0.4× 188 1.5× 38 1.2k
Lenka Kundrat United States 11 918 0.8× 156 0.9× 171 1.1× 11 0.1× 76 0.6× 12 1.1k
Joyce E. Jentoft United States 18 499 0.4× 50 0.3× 50 0.3× 146 1.1× 25 0.2× 36 848
John Goodchild United States 22 1.7k 1.5× 40 0.2× 102 0.7× 276 2.1× 288 2.3× 49 2.2k
Etsuko Miyamoto‐Sato Japan 18 1.4k 1.2× 491 2.8× 75 0.5× 26 0.2× 76 0.6× 33 1.6k
N. Tochio Japan 23 997 0.9× 55 0.3× 85 0.6× 76 0.6× 42 0.3× 54 1.4k
Lukas Leder Switzerland 17 602 0.5× 166 0.9× 76 0.5× 11 0.1× 72 0.6× 26 1.1k
Eric R. Goedken United States 17 719 0.6× 54 0.3× 111 0.7× 45 0.3× 46 0.4× 26 896
Lothar Germeroth Germany 21 578 0.5× 105 0.6× 449 3.0× 53 0.4× 117 0.9× 38 1.2k

Countries citing papers authored by Hongyuan Mao

Since Specialization
Citations

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

Fields of papers citing papers by Hongyuan Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongyuan Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Hongyuan Mao. A scholar is included among the top collaborators of Hongyuan Mao 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 Hongyuan Mao. Hongyuan Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Mao, Hongyuan, et al.. (2010). Spatially addressed combinatorial protein libraries for recombinant antibody discovery and optimization. Nature Biotechnology. 28(11). 1195–1202. 16 indexed citations
2.
Mao, Hongyuan. (2004). A self-cleavable sortase fusion for one-step purification of free recombinant proteins. Protein Expression and Purification. 37(1). 253–263. 45 indexed citations
3.
Mao, Hongyuan, Scott A. Hart, Amy Schink, & Brian A. Pollok. (2004). Sortase-Mediated Protein Ligation:  A New Method for Protein Engineering. Journal of the American Chemical Society. 126(9). 2670–2671. 427 indexed citations
4.
Mao, Hongyuan, et al.. (2001). Rational Design of Diflunisal Analogues with Reduced Affinity for Human Serum Albumin. Journal of the American Chemical Society. 123(43). 10429–10435. 70 indexed citations
5.
Mao, Hongyuan, Angelo Gunasekera, & Stephen W. Fesik. (2000). Expression, Refolding, and Isotopic Labeling of Human Serum Albumin Domains for NMR Spectroscopy. Protein Expression and Purification. 20(3). 492–499. 18 indexed citations
6.
Williamson, James R., Hongyuan Mao, & Susan A. White. (1999). A novel loop-loop recognition motif in the yeast ribosomal protein L30 autoregulatory RNA complex.. Nature Structural Biology. 6(12). 1139–1147. 101 indexed citations
7.
Mao, Hongyuan & James R. Williamson. (1999). Local folding coupled to RNA binding in the yeast ribosomal protein L30 1 1Edited by D. E. Draper. Journal of Molecular Biology. 292(2). 345–359. 29 indexed citations
8.
Mao, Hongyuan. (1999). Assignment of the L30-mRNA complex using selective isotopic labeling and RNA mutants. Nucleic Acids Research. 27(20). 4059–4070. 13 indexed citations
9.
Battiste, John L., Hongyuan Mao, N. Sambasiva Rao, et al.. (1996). α Helix-RNA Major Groove Recognition in an HIV-1 Rev Peptide-RRE RNA Complex. Science. 273(5281). 1547–1551. 511 indexed citations breakdown →

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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