Huan Nie

1.9k citations
56 papers · 1.4k indexed · 1 hit paper · h-index 22
Topics
Glycosylation and Glycoproteins Research (14 papers)Galectins and Cancer Biology (8 papers)Carbohydrate Chemistry and Synthesis (7 papers)
Partner nations
ChinaUnited StatesRussia

In The Last Decade

Huan Nie

56 papers receiving 1.4k citations

Hit Papers

PGE2-EP2/EP4 signaling elicits immunosuppression by drivi...20222026202320242022255075

Peers

Huan Nie
Comparison fields: 5 of 113
  • Molecular Biology 801
  • Immunology 322
  • Oncology 149
  • Cancer Research 142
  • Infectious Diseases 123
Replace Masashi Fujita with:
Masashi Fujita Japan
Virginia Sanders United States
Jie Tang China
Kouji Hattori Japan
Brian R. Cannon United States
Antonella De Palma Italy
Sukhvinder S. Bansal United Kingdom
Diego Sbardella Italy
Rebecca L. Miller United States
Moreno Zamai Italy
Huan Nie relative to Masashi Fujita Japan Masashi Fujita's profile →
Citations per field
00.5×1.5×2.2×
Masashi Fujita · 1×
Citations per year

Countries citing papers authored by Huan Nie

Since Specialization
Citations

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

Fields of papers citing papers by Huan Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huan Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Huan Nie. A scholar is included among the top collaborators of Huan Nie 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 Huan Nie. Huan Nie 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
1 2
2 2
3 16
4 18
5
PGE2-EP2/EP4 signaling elicits immunosuppression by driving the mregDC-Treg axis in inflammatory tumor microenvironmentbreakdown →
85
6 3
7 2
8 2
9 22
10 9
11 15
12 45
13 8
14 8
15 90
16 3
17 29
18 21
19 55
20 20

About Huan Nie

Huan Nie is a scholar working on Immunology, Cancer Research and Molecular Biology, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Galectins and Cancer Biology (8 papers) and Carbohydrate Chemistry and Synthesis (7 papers). The work is most often cited by research in Immunology (322 citations), Molecular Biology (801 citations) and Neurology (92 citations). Huan Nie has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Xue‐Long Sun, Yu Li, Yiqun Li, Pingping Wang, Qinghua Jiang, Zhaochun Xu, Wenyang Zhou, Xiyun Jin, Meng Luo and Chang Xu. Their work appears in journals such as Bioinformatics, Journal of the American College of Cardiology and PLoS ONE.

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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