Rongxia Lan

540 citations
8 papers · 390 · h-index 7

Impact in

    • Galectins and Cancer Biology
    • Immune cells in cancer
  • Spectroscopy top 10%
    • Advanced Proteomics Techniques and Applications

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Machine Learning in Bioinformatics 1
    • Histone Deacetylase Inhibitors Research 1
    • Genomics and Phylogenetic Studies 1
    • Galectins and Cancer Biology 2

Rongxia Lan

8 papers receiving 388 citations

Peers

Rongxia Lan
Comparison fields: 5 of 67
  • Immunology 115
  • Spectroscopy 86
  • Molecular Biology 264
  • Reproductive Medicine 27
  • Cancer Research 39
Replace Jiechen Shen with:
Jiechen Shen China
Bojing Zhu China
Yiling Mi United States
Tianran Ma China
Yuta Endo Japan
Wei‐Hsun Hsu Taiwan
Frieda Karp United States
Paulo F. Severino Portugal
Raymond Kooij Netherlands
Y Maynard United States
Rongxia Lan relative to Jiechen Shen China Jiechen Shen's profile →
Citations per field
00.5×
Jiechen Shen · 1×
Citations per year

Countries citing papers authored by Rongxia Lan

Since Specialization
Citations

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

Fields of papers citing papers by Rongxia Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2021125
2 2021106
3 202045
4 202142
5 202031
6 201931
7 20228
8 20232

About Rongxia Lan

Rongxia Lan is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Organic Chemistry and Ecology, having authored 8 papers that have together received 390 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Galectins and Cancer Biology (2 papers), Machine Learning in Bioinformatics (1 paper), Histone Deacetylase Inhibitors Research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Genomics and Phylogenetic Studies (1 paper), Sperm and Testicular Function (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Immunology (115 citations), Spectroscopy (86 citations), Molecular Biology (264 citations), Reproductive Medicine (27 citations) and Cancer Research (39 citations). Rongxia Lan has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Shisheng Sun, Bojing Zhu, Yintai Xu, Zhifang Hao, Jingyu Wu, Pengfei Li, Liuyi Dang, Jia Li, Chen Ma and Jiechen Shen. Their work appears in journals such as Nature Methods, Frontiers in Oncology, Journal of Proteome Research, Analytical Chemistry and Frontiers in Immunology.

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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