Bin Pang

631 total citations
23 papers, 379 citations indexed

About

Bin Pang is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Bin Pang has authored 23 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 5 papers in Materials Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Bin Pang's work include Protein Structure and Dynamics (10 papers), Enzyme Structure and Function (5 papers) and Machine Learning in Bioinformatics (4 papers). Bin Pang is often cited by papers focused on Protein Structure and Dynamics (10 papers), Enzyme Structure and Function (5 papers) and Machine Learning in Bioinformatics (4 papers). Bin Pang collaborates with scholars based in China, United States and Slovakia. Bin Pang's co-authors include Chi‐Ren Shyu, Dmitry Korkin, Nan Zhao, Jing Deng, Shulan Sun, Shan Liang, Chengyong Feng, Jianzong Peng, Xiaojing Wang and Xukun Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Bin Pang

21 papers receiving 379 citations

Peers

Bin Pang
Comparison fields: 5 of 76
  • Molecular Biology 272
  • Plant Science 98
  • Biochemistry 29
  • Pharmacology 28
  • Materials Chemistry 27
Replace Leticia González‐Maya with:
Leticia González‐Maya Mexico
Yueyue Wang China
Yoshiyuki Murata Japan
Laura Radu France
Yaxuan Wang China
Ha-Yeon Song South Korea
Mayuko Koreishi Japan
Priyanka Sharma India
Yanzhi Zhang China
Leticia González‐Maya Mexico View profile →
Citations per field, relative to Bin Pang
Bin Pang · 1×
Citations per year, relative to Bin Pang
Bin Pang · 1×

Countries citing papers authored by Bin Pang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Pang. A scholar is included among the top collaborators of Bin Pang 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 Bin Pang. Bin Pang 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
# Work Indexed citations
1 0
2 1
3 19
4 7
5 7
6 1
7 38
8 67
9 106
10 1
11 22
12 3
13 39
14 19
15 18
16
[Effect of xiaotan sanjie recipe on expressions of VEGF-C and VEGFR-3 in nude mice with transplanted human gastric adenocarcinoma cell MKN-45].
7
17 9
18 1
19 1
20 6

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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