Bing Han

5.2k citations
175 papers · 4.0k · h-index 35

Impact in

Papers in

Bing Han

167 papers receiving 4.0k citations

Peers

Bing Han
Comparison fields: 5 of 140
  • Sensory Systems 621
  • Endocrinology, Diabetes and Metabolism 782
  • Health, Toxicology and Mutagenesis 439
  • Otorhinolaryngology 100
  • Nephrology 138
Replace Geraldo A. Medeiros-Neto with:
Geraldo A. Medeiros-Neto Brazil
Shinji Kosugi Japan
Alan G. Harris United States
Lucia Grasso Italy
Roald Omdal Norway
Robert G. Townley United States
Carmine Nappi Italy
Antonino Crinò Italy
Filippo De Luca Italy
Costantino Di Carlo Italy
Bing Han relative to Geraldo A. Medeiros-Neto Brazil Geraldo A. Medeiros-Neto's profile →
Citations per field
00.5×2×4×6.4×
Geraldo A. Medeiros-Neto · 1×
Citations per year

Countries citing papers authored by Bing Han

Since Specialization
Citations

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

Fields of papers citing papers by Bing Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011227
2 2009166
3 2015127
4 2015104
5 200988
6 201687
7 201686
8 201883
9 201781
10 201576
11 201671
12 201570
13 200770
14 201763
15 201560
16 201659
17 201359
18 201858
19 201456
20 200855

About Bing Han

Bing Han is a scholar working on Endocrinology, Diabetes and Metabolism, Sensory Systems, Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health, having authored 175 papers that have together received 4.0k indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (19 papers), Hearing, Cochlea, Tinnitus, Genetics (19 papers), Thyroid Disorders and Treatments (16 papers), Hormonal and reproductive studies (13 papers), Birth, Development, and Health (10 papers), Heavy Metal Exposure and Toxicity (9 papers), Vitamin D Research Studies (8 papers) and Hormonal Regulation and Hypertension (7 papers). The work is most often cited by research in Sensory Systems (621 citations), Endocrinology, Diabetes and Metabolism (782 citations), Health, Toxicology and Mutagenesis (439 citations), Otorhinolaryngology (100 citations) and Nephrology (138 citations). Bing Han has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yingli Lu, Ningjian Wang, Yingchao Chen, Chi Chen, Chunfang Zhu, Fangzhen Xia, Hualing Zhai, Dongping Lin, Yi Chen and Michael D. Jensen. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, PLoS ONE, Scientific Reports, Acta Oto-Laryngologica and Molecular and Cellular Endocrinology.

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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