Junru Liu

609 citations
31 papers · 460 · h-index 12

Impact in

Papers in

    • Catalytic Processes in Materials Science 6
    • Luminescence and Fluorescent Materials 3
    • Molecular Sensors and Ion Detection 9

Junru Liu

29 papers receiving 457 citations

Peers

Junru Liu
Comparison fields: 5 of 86
  • Biochemistry 63
  • Spectroscopy 101
  • Inorganic Chemistry 70
  • Neurology 26
  • Catalysis 22
Replace Ping Zheng with:
Ping Zheng China
Rahul Sakla India
Hans Bettermann Germany
Clare M. Jones United Kingdom
Liying Jiang China
Н. Н. Смирнова Russia
Xiaodong Wei China
Zhiping Jiang China
Yutong Zhou China
Jiahui Cheng China
Junru Liu relative to Ping Zheng China Ping Zheng's profile →
Citations per field
00.5×11×
Ping Zheng · 1×
Citations per year

Countries citing papers authored by Junru Liu

Since Specialization
Citations

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

Fields of papers citing papers by Junru Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202086
2 202150
3 202146
4 202134
5 202228
6 202226
7 202221
8 202220
9 202319
10 202317
11 201915
12 202215
13 20249
14 20239
15 20229
16 20218
17 20227
18 20217
19 20216
20 20225

About Junru Liu

Junru Liu is a scholar working on Materials Chemistry, Spectroscopy, Neurology, Molecular Biology and Catalysis, having authored 31 papers that have together received 460 indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Catalytic Processes in Materials Science (6 papers), Zeolite Catalysis and Synthesis (5 papers), Catalysis and Oxidation Reactions (5 papers), Sulfur Compounds in Biology (4 papers), Luminescence and Fluorescent Materials (3 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Biochemistry (63 citations), Spectroscopy (101 citations), Inorganic Chemistry (70 citations), Neurology (26 citations) and Catalysis (22 citations). Junru Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shengxiang Zhang, Fang Dai, Bo Zhou, Dihua Tian, Ying Long, Guanghua Ye, Xinggui Zhou, Shen Hu, Marc‐Olivier Coppens and Weikang Yuan. Their work appears in journals such as Analytical Chemistry, Sensors and Actuators B Chemical, Biochemical and Biophysical Research Communications, AIChE Journal and Current Issues in Molecular 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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