Ganglong Yang

1.4k citations
58 papers · 1.1k · h-index 19

Impact in

    • Glycosylation and Glycoproteins Research
    • Viral Infectious Diseases and Gene Expression in Insects
    • Genomics and Phylogenetic Studies
  • Immunology top 10%
    • Galectins and Cancer Biology

Papers in

Ganglong Yang

56 papers receiving 1.1k citations

Peers

Ganglong Yang
Comparison fields: 5 of 85
  • Molecular Biology 880
  • Immunology 247
  • Spectroscopy 161
  • Biotechnology 52
  • Radiology, Nuclear Medicine and Imaging 121
Replace Miriam Dwek with:
Miriam Dwek United Kingdom
Stephanie Holst Netherlands
Tyler J. Stewart United States
Guinevere S. M. Lageveen‐Kammeijer Netherlands
Kathrin Stavenhagen Netherlands
Matthew R. Kudelka United States
Taj S. Mattu United Kingdom
Jessica Bigge Germany
Chu‐Wei Kuo Taiwan
Jean‐Claude Michalski France
Ganglong Yang relative to Miriam Dwek United Kingdom Miriam Dwek's profile →
Citations per field
00.5×
Miriam Dwek · 1×
Citations per year

Countries citing papers authored by Ganglong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ganglong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020126
2 202174
3 201464
4 201460
5 201354
6 202047
7 201839
8 201435
9 202034
10 201933
11 202131
12 201030
13 201729
14 201927
15 202026
16 201723
17 201822
18 201122
19 202320
20 202317

About Ganglong Yang

Ganglong Yang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Organic Chemistry and Cell Biology, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (38 papers), Monoclonal and Polyclonal Antibodies Research (17 papers), Galectins and Cancer Biology (16 papers), Carbohydrate Chemistry and Synthesis (12 papers), Advanced Proteomics Techniques and Applications (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Molecular Biology (880 citations), Immunology (247 citations), Spectroscopy (161 citations), Biotechnology (52 citations) and Radiology, Nuclear Medicine and Imaging (121 citations). Ganglong Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Feng Guan, Xiaoman Zhou, Zengqi Tan, Jia Guo, Wei Lü, Morihisa Fujita, Xiao‐Dong Gao, Shisheng Sun, Hui Zhang and Hanjie Yu. Their work appears in journals such as Journal of Proteome Research, Analytical Chemistry, Molecules, The Journal of Biochemistry and Biology.

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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