Long Han

512 citations
9 papers · 360 · h-index 6

Impact in

Papers in

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

Long Han

9 papers receiving 357 citations

Peers

Long Han
Comparison fields: 5 of 56
  • Structural Biology 20
  • Molecular Medicine 41
  • Genetics 175
  • Cell Biology 88
  • Endocrinology 24
Replace Danguole Kureisaite-Ciziene with:
Danguole Kureisaite-Ciziene United Kingdom
Alexander Belyy Germany
Matteo Sangermani Switzerland
Ashlee M. Plummer United States
Michael A. A. Mathews United States
C. Xu China
Helgo Schmidt United Kingdom
Sarah S. Henrikus Australia
Christiaan M. Punter Netherlands
A.J. Higgins United Kingdom
Long Han relative to Danguole Kureisaite-Ciziene United Kingdom Danguole Kureisaite-Ciziene's profile →
Citations per field
00.5×1.5×2.3×
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

9 of 9 papers shown
#Work
1 2016170
2 202160
3 202251
4 202030
5 202125
6 202219
7 20212
8
Elimination of false negative results in the two-hybrid system in the phagocyte NADPH oxidase.
19962
9 20191

About Long Han

Long Han is a scholar working on Molecular Biology, Genetics, Cell Biology, Structural Biology and Immunology, having authored 9 papers that have together received 360 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), Bacterial Genetics and Biotechnology (3 papers), Enzyme Structure and Function (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Photosynthetic Processes and Mechanisms (2 papers), RNA and protein synthesis mechanisms (2 papers) and Nonlinear Dynamics and Pattern Formation (1 paper). The work is most often cited by research in Structural Biology (20 citations), Molecular Medicine (41 citations), Genetics (175 citations), Cell Biology (88 citations) and Endocrinology (24 citations). Long Han has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Haizhen Zhou, Yihua Huang, Kai Zhang, Yongfang Zhao, Yanqing Liu, Baohua Cao, Jiangge Zheng, Yang Xu, Yue Wang and Renbin Yang. Their work appears in journals such as Nature Structural & Molecular Biology, The FASEB Journal, Nature Communications, Proceedings of the National Academy of Sciences and Biochemistry.

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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