Lu Ni

916 citations
27 papers · 660 · h-index 11

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Psoriasis: Treatment and Pathogenesis
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Circular RNAs in diseases 2
    • RNA Research and Splicing 2
    • Thermal properties of materials 4
    • Graphene research and applications 3
    • Quantum Dots Synthesis And Properties 2

Lu Ni

24 papers receiving 654 citations

Peers

Lu Ni
Comparison fields: 5 of 95
  • Immunology 251
  • Cancer Research 87
  • Biological Psychiatry 8
  • Molecular Biology 206
  • Rheumatology 41
Replace Yaxin Lou with:
Yaxin Lou China
Zhenyu Yao China
Yaoyao Wang China
Wilfrid Boireau France
Yuchen Ye China
Hongmin Zhou China
Beibei Yu China
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Citations per field
00.5×1.5×
Yaxin Lou · 1×
Citations per year

Countries citing papers authored by Lu Ni

Since Specialization
Citations

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

Fields of papers citing papers by Lu Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017280
2 202064
3 200263
4 201738
5 202334
6 201729
7 202128
8 202426
9 201521
10 202213
11 202012
12 20206
13 20236
14 20245
15 20255
16 20185
17 20184
18 20224
19 20234
20 20244

About Lu Ni

Lu Ni is a scholar working on Molecular Biology, Materials Chemistry, Immunology, Mechanical Engineering and Electrical and Electronic Engineering, having authored 27 papers that have together received 660 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Thermal properties of materials (4 papers), Graphene research and applications (3 papers), Composite Material Mechanics (2 papers), Quantum Dots Synthesis And Properties (2 papers), Circular RNAs in diseases (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Immunology (251 citations), Cancer Research (87 citations), Biological Psychiatry (8 citations), Molecular Biology (206 citations) and Rheumatology (41 citations). Lu Ni has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Chen Dong, Xiaohu Wang, Yu Zhang, Saiyong Zhu, Tao Xu, Dongwei Zhu, Jae Kyu Ryu, Min Xie, Tianhua Ma and Edward M. Driggers. Their work appears in journals such as Chemical Communications, Composites Science and Technology, Immunity, Frontiers in Human Neuroscience and The Journal of 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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