Binbin Tan

1.2k citations
26 papers · 1.0k · h-index 14

Impact in

Papers in

    • Cancer, Hypoxia, and Metabolism 5
    • Cancer, Lipids, and Metabolism 3
    • Metabolomics and Mass Spectrometry Studies 10
    • Glycosylation and Glycoproteins Research 5

Binbin Tan

24 papers receiving 992 citations

Peers

Binbin Tan
Comparison fields: 5 of 122
  • Analytical Chemistry 126
  • Cancer Research 152
  • Spectroscopy 160
  • Molecular Biology 608
  • Biophysics 29
Replace Sebastian Zellmer with:
Sebastian Zellmer Germany
Tomáš Adam Czechia
Guohui Li China
Flaubert Mbeunkui United States
Hongzhi Ye China
Wentao Zhao China
Ni Ai China
Yanqiu Gu China
Yun Pyo Kang South Korea
Zhipeng Wang China
Binbin Tan relative to Sebastian Zellmer Germany Sebastian Zellmer's profile →
Citations per field
00.5×2×3.2×
Sebastian Zellmer · 1×
Citations per year

Countries citing papers authored by Binbin Tan

Since Specialization
Citations

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

Fields of papers citing papers by Binbin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Binbin Tan, 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 Binbin Tan Line = papers co-authored together Binbin Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011184
2 2013182
3 201391
4 201077
5 201875
6 200965
7 201750
8 201150
9 202248
10 202029
11 202027
12 202220
13 202218
14 201115
15 201714
16 201312
17 202110
18 201310
19 20148
20 20246

About Binbin Tan

Binbin Tan is a scholar working on Cancer Research, Molecular Biology, Spectroscopy, Immunology and Analytical Chemistry, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (10 papers), Glycosylation and Glycoproteins Research (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Analytical Chemistry and Chromatography (4 papers), Galectins and Cancer Biology (4 papers), Advanced Chemical Sensor Technologies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Analytical Chemistry (126 citations), Cancer Research (152 citations), Spectroscopy (160 citations), Molecular Biology (608 citations) and Biophysics (29 citations). Binbin Tan has collaborated with scholars based in China, Japan and Macao. Frequent co-authors include Yi‐Zeng Liang, Xia Zou, Bo Feng, Taotao Dong, Guoxiang Xie, Yu Cheng, Lisa Xuemin Xu, Hong‐Dong Li, Wei Ping Jia and Aihua Zhao. Their work appears in journals such as Journal of Proteome Research, Metabolomics, Scientific Reports, Journal of Food Composition and Analysis and Analytical Chemistry.

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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