Guolin Bian

415 citations
23 papers · 316 · h-index 9

Impact in

Papers in

Guolin Bian

21 papers receiving 315 citations

Peers

Guolin Bian
Comparison fields: 5 of 70
  • Agronomy and Crop Science 59
  • Clinical Psychology 98
  • Infectious Diseases 81
  • Applied Psychology 19
  • Hepatology 26
Replace Maolin Du with:
Maolin Du China
Guoqiu Zhao China
Teresa C. Silva Spain
Keshab Subedi United States
Christopher D. Nettles United States
Lee Gan Goh Singapore
Jamie L. Larson United States
Carol Woodell United States
Emily Taylor United States
Elin Johansson Sweden
Guolin Bian relative to Maolin Du China Maolin Du's profile →
Citations per field
00.5×10×13×
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Citations per year

Countries citing papers authored by Guolin Bian

Since Specialization
Citations

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

Fields of papers citing papers by Guolin Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202072
2 201647
3 201830
4 201528
5 201928
6 201027
7 202017
8 202117
9 20228
10 20246
11 20226
12
[Levels of transition on maternal transferred measles antibody in infants in 3 cities in China].
20086
13 20225
14 20225
15
Epidemiological characteristics of malaria in Ningbo City, China 2000-2011.
20134
16 20163
17 20172
18 20252
19 20221
20 20231

About Guolin Bian

Guolin Bian is a scholar working on Clinical Psychology, Social Psychology, Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 316 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (6 papers), Mental Health Treatment and Access (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Long-Term Effects of COVID-19 (2 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), Viral Infections and Immunology Research (2 papers), Animal Disease Management and Epidemiology (2 papers) and Hepatitis Viruses Studies and Epidemiology (2 papers). The work is most often cited by research in Agronomy and Crop Science (59 citations), Clinical Psychology (98 citations), Infectious Diseases (81 citations), Applied Psychology (19 citations) and Hepatology (26 citations). Guolin Bian has collaborated with scholars based in China, Sweden and France. Frequent co-authors include Guozhang Xu, Tianfeng He, Ruixue Huang, Dongsheng Zhou, Lv Chen, Qi Zhou, Xingxing Li, Chang Yu, Ti‐Fei Yuan and Zhenyu Hu. Their work appears in journals such as Scientific Reports, Frontiers in Psychiatry, Composites Communications, BMC Psychiatry and Environmental Science and Pollution Research.

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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