Bin Liang

3.4k citations
73 papers · 2.5k · h-index 28

Impact in

Papers in

    • Plant Reproductive Biology 5
    • Postharvest Quality and Shelf Life Management 10
    • Plant Molecular Biology Research 6
    • Plant Stress Responses and Tolerance 6
    • Plant Physiology and Cultivation Studies 4

Bin Liang

68 papers receiving 2.5k citations

Peers

Bin Liang
Comparison fields: 5 of 118
  • Cancer Research 264
  • Geriatrics and Gerontology 58
  • Molecular Biology 1.1k
  • Plant Science 546
  • Cell Biology 204
Replace Tian Tian with:
Tian Tian China
Sung‐Ho Kook South Korea
Xiaofang Wu China
Jung‐Hyun Kim South Korea
Yingjie Wang China
Bong-Soo Park South Korea
Xing Fu China
Dean S. Rosenthal United States
Jing Sun China
Youwei Zhang China
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Citations per field
00.5×3.8×
Tian Tian · 1×
Citations per year

Countries citing papers authored by Bin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bin Liang Line = papers co-authored together Bin Liang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010236
2 2018201
3 2012197
4 2010168
5 2011161
6 2011124
7 201987
8 201778
9 202377
10 201366
11 201562
12 201657
13 202153
14 200752
15 201751
16 201845
17 201644
18 202042
19 201442
20 202040

About Bin Liang

Bin Liang is a scholar working on Molecular Biology, Plant Science, Hematology, Cancer Research and Biomedical Engineering, having authored 73 papers that have together received 2.5k indexed citations. Recurring topics across this work include Postharvest Quality and Shelf Life Management (10 papers), Cancer-related molecular mechanisms research (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), Plant Molecular Biology Research (6 papers), Plant Stress Responses and Tolerance (6 papers), Nanoplatforms for cancer theranostics (6 papers), Plant Reproductive Biology (5 papers) and Plant Physiology and Cultivation Studies (4 papers). The work is most often cited by research in Cancer Research (264 citations), Geriatrics and Gerontology (58 citations), Molecular Biology (1.1k citations), Plant Science (546 citations) and Cell Biology (204 citations). Bin Liang has collaborated with scholars based in China, United States and France. Frequent co-authors include Ming-Hui Zou, Qilong Wang, Najeeb A. Shirwany, Ping Leng, Ming‐Hui Zou, Wenbin Kai, Yunzhou Dong, Miao Zhang, Hyoung Chul Choi and Shuangxi Wang. Their work appears in journals such as PLoS ONE, Oncotarget, Journal of Experimental Botany, Cancer Management and Research and Scientific Reports.

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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