Binbin Nie

2.5k citations
108 papers · 1.9k · h-index 22

Impact in

Papers in

Binbin Nie

100 papers receiving 1.9k citations

Peers

Binbin Nie
Comparison fields: 5 of 105
  • Biological Psychiatry 106
  • Behavioral Neuroscience 143
  • Cognitive Neuroscience 574
  • Neurology 225
  • Complementary and alternative medicine 177
Replace Baoci Shan with:
Baoci Shan China
Bai‐Chuang Shyu Taiwan
Limei Zhang Mexico
Ana Catarina Pereira Portugal
Maria Virginia Centeno United States
Marta Méndez Spain
Sanjay Asthana United States
Jie Fan China
David Berron Germany
Binbin Nie relative to Baoci Shan China Baoci Shan's profile →
Citations per field
00.5×1.5×
Baoci Shan · 1×
Citations per year

Countries citing papers authored by Binbin Nie

Since Specialization
Citations

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

Fields of papers citing papers by Binbin Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010187
2 2012105
3 2012102
4 201293
5 201086
6 201365
7 201155
8 201450
9 201450
10 201638
11 202037
12 201832
13 201632
14 201531
15 201829
16 200925
17 202225
18 201025
19 201723
20 201522

About Binbin Nie

Binbin Nie is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Physiology, Cellular and Molecular Neuroscience and Neurology, having authored 108 papers that have together received 1.9k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (22 papers), Advanced Neuroimaging Techniques and Applications (14 papers), Advanced MRI Techniques and Applications (11 papers), Alzheimer's disease research and treatments (10 papers), Acupuncture Treatment Research Studies (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Stress Responses and Cortisol (5 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Biological Psychiatry (106 citations), Behavioral Neuroscience (143 citations), Cognitive Neuroscience (574 citations), Neurology (225 citations) and Complementary and alternative medicine (177 citations). Binbin Nie has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Baoci Shan, Kuncheng Li, Jiangtao Liu, Gang Wang, Jing Peng, Hua Liu, Yang Li, Jiaojie Hui, Zhijun Zhang and Kewei Chen. Their work appears in journals such as PLoS ONE, Frontiers in Neuroscience, Behavioural Brain Research, Neuroscience and NeuroImage.

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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