Long Han

514 citations
10 papers · 356 · h-index 7

Impact in

Papers in

    • RNA and protein synthesis mechanisms 2
    • Photosynthetic Processes and Mechanisms 2
    • Bacterial Genetics and Biotechnology 3
    • Genetic and Kidney Cyst Diseases 2

Long Han

10 papers receiving 352 citations

Peers

Long Han
Comparison fields: 5 of 61
  • Structural Biology 20
  • Molecular Medicine 39
  • Genetics 176
  • Cell Biology 85
  • Endocrinology 24
Replace Danguole Kureisaite-Ciziene with:
Danguole Kureisaite-Ciziene United Kingdom
Alexander Belyy Germany
C. Xu China
Matteo Sangermani Switzerland
Helgo Schmidt United Kingdom
Michael A. A. Mathews United States
Christiaan M. Punter Netherlands
Sarah S. Henrikus Australia
Sara L. Milam United States
Paul E. Schavemaker Netherlands
Long Han relative to Danguole Kureisaite-Ciziene United Kingdom Danguole Kureisaite-Ciziene's profile →
Citations per field
00.5×
Danguole Kureisaite-Ciziene · 1×
Citations per year

Countries citing papers authored by Long Han

Since Specialization
Citations

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

Fields of papers citing papers by Long Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2016167
2 202158
3 202250
4 202027
5 202124
6 202216
7 20259
8 20212
9
Elimination of false negative results in the two-hybrid system in the phagocyte NADPH oxidase.
19962
10 20191

About Long Han

Long Han is a scholar working on Molecular Biology, Genetics, Cell Biology, Structural Biology and Immunology, having authored 10 papers that have together received 356 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), Bacterial Genetics and Biotechnology (3 papers), Genetic and Kidney Cyst Diseases (2 papers), RNA and protein synthesis mechanisms (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Enzyme Structure and Function (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Structural Biology (20 citations), Molecular Medicine (39 citations), Genetics (176 citations), Cell Biology (85 citations) and Endocrinology (24 citations). Long Han has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Haizhen Zhou, Yihua Huang, Yongfang Zhao, Yanqing Liu, Chuanqi Sun, Baohua Cao, Kai Zhang, Jizhong Lou, Jiangge Zheng and Yang Xu. Their work appears in journals such as Nature Structural & Molecular Biology, The FASEB Journal, Biochemistry, Phytomedicine and Proceedings of the National Academy of Sciences.

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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