Boryeu Mao

901 citations
26 papers · 695 indexed · h-index 16
Topics
Protein Structure and Dynamics (10 papers)Enzyme Structure and Function (7 papers)Computational Drug Discovery Methods (5 papers)
Partner nations
United StatesJapanFrance

In The Last Decade

Boryeu Mao

26 papers receiving 660 citations

Peers

Boryeu Mao
Comparison fields: 5 of 90
  • Molecular Biology 493
  • Computational Theory and Mathematics 197
  • Materials Chemistry 98
  • Spectroscopy 84
  • Pharmacology 71
Replace Susanna K. Lüdemann with:
Susanna K. Lüdemann Germany
James L. Kofron United States
Jean M. Severin United States
Mehran Jalaie United States
Isabelle Morize France
Malcolm J. McGregor United States
Stanley R. Krystek United States
Masaya Orita Japan
Hideki Tsujishita Japan
Ingemar Nilsson Sweden
Boryeu Mao relative to Susanna K. Lüdemann Germany Susanna K. Lüdemann's profile →
Citations per field
00.5×1.5×
Susanna K. Lüdemann · 1×
Citations per year

Countries citing papers authored by Boryeu Mao

Since Specialization
Citations

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

Fields of papers citing papers by Boryeu Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boryeu Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Boryeu Mao. A scholar is included among the top collaborators of Boryeu 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 Boryeu Mao. Boryeu 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 1
2 29
3
Predicting ADME properties and side effects: the BioPrint approach.
125
4 29
5 19
6 1
7 31
8 5
9 18
10 2
11 8
12 7
13 19
14 75
15 6
16 31
17 46
18 25
19 4
20 4

About Boryeu Mao

Boryeu Mao is a scholar working on Spectroscopy, Computational Theory and Mathematics and Molecular Biology, having authored 26 papers that have together received 695 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Enzyme Structure and Function (7 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Computational Theory and Mathematics (197 citations), Pharmacology (71 citations) and Molecular Biology (493 citations). Boryeu Mao has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Kuo‐Chen Chou, Dragos Horvath, J. Andrew McCammon, Frédérique Barbosa, Jacques Migeon, A. Tulinsky, Chang H. Park, Cecile M. Krejsa, Stephen C. Harvey and Julie E. Penzotti. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.

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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