Binbin Su

1.7k citations
75 papers · 1.1k · 1 hit paper · h-index 16

Impact in

Papers in

Binbin Su

71 papers receiving 1.1k citations

Binbin Su's Hit Papers

Trends and Challenges for Population and Health During Population Aging — China, 2015–2050 2021 · 200 citations
2000+1+3Years since publication50100150200

Peers

Binbin Su
Comparison fields: 5 of 138
  • Health, Toxicology and Mutagenesis 99
  • Health 48
  • Geriatrics and Gerontology 20
  • Neuropsychology and Physiological Psychology 6
  • Cancer Research 54
Replace Senyeong Kao with:
Senyeong Kao Taiwan
Pragyan Monalisa Sahoo India
Prashant Mathur India
Francesco Esposito Italy
Arzu Yiğit Türkiye
Sri Susanty Indonesia
Shigekazu Ukawa Japan
Queenie Chan
Erfan Ghasemi Iran
Sohrab Salimi Iran
Binbin Su relative to Senyeong Kao Taiwan Senyeong Kao's profile →
Citations per field
00.5×2×4×6.2×
Senyeong Kao · 1×
Citations per year

Countries citing papers authored by Binbin Su

Since Specialization
Citations

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

Fields of papers citing papers by Binbin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Trends and Challenges for Population and Health During Population Aging — China, 2015–2050
Hit paper breakdown →
2021200
2 201291
3 202279
4 201572
5 202437
6 201936
7 202332
8 202331
9 199429
10 202328
11 202228
12 202227
13 202321
14 202320
15 202417
16 202417
17 201416
18 202415
19 202314
20 202214

About Binbin Su

Binbin Su is a scholar working on Health, Health, Toxicology and Mutagenesis, Clinical Psychology, Epidemiology and Physiology, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (7 papers), Health disparities and outcomes (7 papers), Chronic Disease Management Strategies (5 papers), Birth, Development, and Health (4 papers), Climate Change and Health Impacts (4 papers), Global Health Care Issues (4 papers), Air Quality Monitoring and Forecasting (3 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (99 citations), Health (48 citations), Geriatrics and Gerontology (20 citations), Neuropsychology and Physiological Psychology (6 citations) and Cancer Research (54 citations). Binbin Su has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xiaoying Zheng, Yanan Luo, Junqing Xie, Panliang Zhong, Jun Wan, Yaohua Tian, Xiaoying Zheng, Hui Shi, Wenhui Liu and Daniel Prieto‐Alhambra. Their work appears in journals such as China CDC Weekly, Journal of Affective Disorders, Frontiers in Endocrinology, Frontiers in Public Health and PLoS Medicine.

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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