Guang Han

2.0k citations
60 papers · 1.6k indexed · h-index 25
Topics
Birth, Development, and Health (23 papers)Pain Mechanisms and Treatments (12 papers)Adipose Tissue and Metabolism (9 papers)
Journals
Journal of NeuroscienceSHILAP Revista de lepidopterologíaBrain Research
Partner nations
United StatesChinaFrance

In The Last Decade

Guang Han

60 papers receiving 1.6k citations

Peers

Guang Han
Comparison fields: 5 of 101
  • Pediatrics, Perinatology and Child Health 729
  • Physiology 537
  • Molecular Biology 355
  • Obstetrics and Gynecology 287
  • Epidemiology 181
Replace Shumei Yang with:
Shumei Yang United States
Kay L. H. Wu Taiwan
Dorothy Nigro Brazil
Kristen E. Boyle United States
Abdelhédi Miled Tunisia
Alfonso M. Lechuga‐Sancho Spain
Caiping Mao China
G. Janßen Netherlands
Joanna L. Stanley United Kingdom
Carrie E. McCurdy United States
Guang Han relative to Shumei Yang United States Shumei Yang's profile →
Citations per field
00.5×3.1×
Shumei Yang · 1×
Citations per year

Countries citing papers authored by Guang Han

Since Specialization
Citations

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

Fields of papers citing papers by Guang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Guang Han. A scholar is included among the top collaborators of Guang Han based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guang Han. Guang Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 21
3 9
4 3
5
Tumor Suppressor microRNA-138 Suppresses Low-Grade Glioma Development and Metastasis via Regulating IGF2BP2
5
6 27
7 24
8 11
9 47
10 46
11 6
12 22
13 1
14 18
15 14
16 38
17 95
18 37
19 17
20 63

About Guang Han

Guang Han is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Physiology, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Birth, Development, and Health (23 papers), Pain Mechanisms and Treatments (12 papers) and Adipose Tissue and Metabolism (9 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (729 citations), Obstetrics and Gynecology (287 citations) and Physiology (537 citations). Guang Han has collaborated with scholars based in United States, China and France. Frequent co-authors include Mina Desai, Michael G. Ross, Juanita K. Jellyman, Omid Khorram, Robert H. Lane, Marie H. Beall, Thomas R. Magee, Tamiko Konishi, Dave Gayle and Mónica G. Ferrini. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Brain 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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