Bing Lin

1.1k total citations
26 papers, 845 citations indexed

About

Bing Lin is a scholar working on Molecular Biology, Pharmacology and Complementary and alternative medicine. According to data from OpenAlex, Bing Lin has authored 26 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Pharmacology and 5 papers in Complementary and alternative medicine. Recurrent topics in Bing Lin's work include Natural product bioactivities and synthesis (5 papers), Pharmacological Effects of Natural Compounds (4 papers) and Bone Metabolism and Diseases (4 papers). Bing Lin is often cited by papers focused on Natural product bioactivities and synthesis (5 papers), Pharmacological Effects of Natural Compounds (4 papers) and Bone Metabolism and Diseases (4 papers). Bing Lin collaborates with scholars based in China, United Kingdom and Taiwan. Bing Lin's co-authors include Luping Qin, Ting Han, Chengjian Zheng, Khalid Rahman, Wei Yue, Qianliang Ming, Xueqin Ma, Hailiang Xin, Song Hong-tao and Yuqiong He and has published in prestigious journals such as Journal of Applied Physics, Biochemical and Biophysical Research Communications and Journal of Chromatography A.

In The Last Decade

Bing Lin

25 papers receiving 824 citations

Peers

Bing Lin
Comparison fields: 5 of 104
  • Molecular Biology 455
  • Complementary and alternative medicine 211
  • Plant Science 209
  • Pharmacology 196
  • Pharmacology 88
Replace Guan Ye with:
Guan Ye China
Lin Dong China
Young‐Gab Yun South Korea
Jingyu He China
Dajian Yang China
Yuqing Jian China
Young-Beob Yu South Korea
Alejandra Ester Rotelli Argentina
Hongxun Tao China
Jung‐Hwan Nam South Korea
Guan Ye China View profile →
Citations per field, relative to Bing Lin
Bing Lin · 1×
Citations per year, relative to Bing Lin
Bing Lin · 1×

Countries citing papers authored by Bing Lin

Since Specialization
Citations

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

Fields of papers citing papers by Bing Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Lin. A scholar is included among the top collaborators of Bing Lin 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 Bing Lin. Bing Lin 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 2
3 4
4 5
5 25
6 12
7 28
8 149
9 13
10 24
11 98
12 193
13 75
14 21
15 5
16 3
17 66
18
Electrophoretic Mobility of Carp Erythrocyte on Microfluidic Chip
1
19 15
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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