Hui Han

983 citations
28 papers · 464 indexed · h-index 12
Topics
Antibiotic Resistance in Bacteria (6 papers)Genomics and Phylogenetic Studies (3 papers)Salmonella and Campylobacter epidemiology (3 papers)

In The Last Decade

Hui Han

27 papers receiving 457 citations

Peers

Hui Han
Comparison fields: 5 of 89
  • Epidemiology 200
  • Infectious Diseases 104
  • Surgery 101
  • Molecular Medicine 95
  • Molecular Biology 68
Replace Matias Chiarastelli Salomão with:
Matias Chiarastelli Salomão Brazil
Simone Meini Italy
Zahra Sahraei Iran
Erzhen Chen China
R. van Dalen Netherlands
Ahmad Alhajhusain United States
Marina Toutouza Greece
Raül Rigo‐Bonnin Spain
Chenyan Zhao China
Benjamin Lazarus Australia
Hui Han relative to Matias Chiarastelli Salomão Brazil Matias Chiarastelli Salomão's profile →
Citations per field
00.5×5.6×
Matias Chiarastelli Salomão · 1×
Citations per year

Countries citing papers authored by Hui Han

Since Specialization
Citations

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

Fields of papers citing papers by Hui Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Han

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Han. A scholar is included among the top collaborators of Hui 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 Hui Han. Hui 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
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2 4
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4 9
5 18
6 8
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8 15
9 21
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12 14
13 26
14 11
15 19
16 29
17 38
18 5
19
[Assessment of the application of variable-number tandem repeat loci of Salmonella Enteritidis in subtyping multiple-locus variable-number tandem repeat analysis].
2
20 4

About Hui Han

Hui Han is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Critical Care and Intensive Care Medicine, having authored 28 papers that have together received 464 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Genomics and Phylogenetic Studies (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). The work is most often cited by research in Molecular Medicine (95 citations), Applied Microbiology and Biotechnology (34 citations) and Endocrinology (50 citations). Hui Han has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Hao Wang, Dawei Wu, Weidong Qin, Fan Zhang, Hongna Yang, Chen Li, Haipeng Guo, Xiaomei Chen, Mei Yin and Lei Si. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Biochemical and Biophysical Research Communications.

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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