Xiaobin Han

78 papers receiving 2.0k citations

Peers

Xiaobin Han
Comparison fields: 5 of 120
  • Nephrology 531
  • Cell Biology 568
  • Pediatrics, Perinatology and Child Health 290
  • Pathology and Forensic Medicine 237
  • Genetics 330
Replace Ichiro Kojima with:
Ichiro Kojima Japan
Ana Russo de Boland Argentina
Zachary C. Ryan United States
José L. Reyes Mexico
Huiling Wang China
Luis E. Gómez-Quiroz Mexico
Suman Dasgupta India
Jingqi Fu China
Y. Rayssiguier France
Xiaobin Han relative to Ichiro Kojima Japan Ichiro Kojima's profile →
Citations per field
00.5×5.6×
Ichiro Kojima · 1×
Citations per year

Countries citing papers authored by Xiaobin Han

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013106
2 2010100
3 201598
4 201490
5 199884
6 199861
7 201660
8 201657
9 202157
10 202156
11 200952
12 201951
13 201549
14 202048
15 202048
16 201946
17 201842
18 201742
19 201240
20 201837

About Xiaobin Han

Xiaobin Han is a scholar working on Cell Biology, Nephrology, Pediatrics, Perinatology and Child Health, Pathology and Forensic Medicine and Molecular Biology, having authored 79 papers that have together received 2.0k indexed citations. Recurring topics across this work include Aldose Reductase and Taurine (29 papers), Prenatal Substance Exposure Effects (13 papers), Parathyroid Disorders and Treatments (13 papers), Renal and related cancers (9 papers), Fibroblast Growth Factor Research (9 papers), Plant Pathogens and Fungal Diseases (7 papers), Genetic Syndromes and Imprinting (7 papers) and Plant-Microbe Interactions and Immunity (7 papers). The work is most often cited by research in Nephrology (531 citations), Cell Biology (568 citations), Pediatrics, Perinatology and Child Health (290 citations), Pathology and Forensic Medicine (237 citations) and Genetics (330 citations). Xiaobin Han has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Russell W. Chesney, L. Darryl Quarles, Andrea M. Budreau, Zhousheng Xiao, Chengsheng Zhang, Andrea Budreau Patters, Jinsong Huang, Gwendalyn D. King, Jianyu Gou and Jiancheng Yang. Their work appears in journals such as Advances in experimental medicine and biology, Frontiers in Microbiology, Journal of Biological Chemistry, Journal of the American Society of Nephrology and PLoS ONE.

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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