Binchen Mao

1.2k citations
26 papers · 668 indexed · 1 hit paper · h-index 12
Topics
Protein Structure and Dynamics (8 papers)Computational Drug Discovery Methods (5 papers)Enzyme Structure and Function (5 papers)
Partner nations
United StatesChinaSpain

In The Last Decade

Binchen Mao

25 papers receiving 648 citations

Hit Papers

De novo design of a fluorescence-activating β-barrel2018202620202023201850100150200

Peers

Binchen Mao
Comparison fields: 5 of 88
  • Molecular Biology 510
  • Materials Chemistry 211
  • Oncology 74
  • Spectroscopy 67
  • Immunology 59
Replace João M. C. Teixeira with:
João M. C. Teixeira Spain
Gregory M. Lee United States
Wade M. Borcherds United States
Michael P. Latham United States
Basile I. M. Wicky United States
Susan E. Cellitti United States
Robert A. Langan United States
Tamjeed Saleh United States
Marc Ribó Spain
Monica Ekberg Sweden
Binchen Mao relative to João M. C. Teixeira Spain João M. C. Teixeira's profile →
Citations per field
00.5×1.7×
João M. C. Teixeira · 1×
Citations per year

Countries citing papers authored by Binchen Mao

Since Specialization
Citations

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

Fields of papers citing papers by Binchen Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binchen Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Binchen Mao. A scholar is included among the top collaborators of Binchen 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 Binchen Mao. Binchen Mao 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 3
2 15
3 8
4 17
5 40
6 2
7 4
8 1
9 7
10 39
11
De novo design of a fluorescence-activating β-barrelbreakdown →
249
12 12
13 48
14 47
15 12
16 30
17 33
18 7
19 5
20 1

About Binchen Mao

Binchen Mao is a scholar working on Modeling and Simulation, Pharmaceutical Science and Computational Theory and Mathematics, having authored 26 papers that have together received 668 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (5 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Molecular Biology (510 citations), Biophysics (32 citations) and Materials Chemistry (211 citations). Binchen Mao has collaborated with scholars based in United States, China and Spain. Frequent co-authors include G.T. Montelione, James M. Aramini, David Baker, Yuanpeng J. Huang, Roberto Tejero, Sheng Guo, Sergey Ovchinnikov, Banumathi Sankaran, Barry Stoddard and Matthew J. Bick. Their work appears in journals such as Nature, Journal of the American Chemical Society and Nature Communications.

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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