Haixin Liu

757 citations
18 papers · 440 indexed · h-index 7
Topics
Supramolecular Chemistry and Complexes (6 papers)Analytical Chemistry and Chromatography (4 papers)Mass Spectrometry Techniques and Applications (4 papers)
Partner nations
ChinaUnited StatesItaly

In The Last Decade

Haixin Liu

16 papers receiving 438 citations

Peers

Haixin Liu
Comparison fields: 5 of 65
  • Cognitive Neuroscience 268
  • Cellular and Molecular Neuroscience 196
  • Sensory Systems 52
  • Nutrition and Dietetics 46
  • Molecular Biology 44
Replace Claire E. J. Cheetham with:
Claire E. J. Cheetham United States
Karin Morandell Switzerland
Mirko Witte Germany
Juan Deng China
Matthew Geramita United States
Gen‐ichi Tasaka Israel
Pierre F. Apostolides United States
Minerva Yue United States
Isabella Garcia United States
Ming Ma United States
Haixin Liu relative to Claire E. J. Cheetham United States Claire E. J. Cheetham's profile →
Citations per field
00.5×1.5×1.8×
Claire E. J. Cheetham · 1×
Citations per year

Countries citing papers authored by Haixin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Haixin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haixin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Haixin Liu. A scholar is included among the top collaborators of Haixin Liu 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 Haixin Liu. Haixin Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 3
3 0
4 2
5 3
6 1
7 3
8 3
9 1
10 4
11 23
12 13
13 6
14 166
15 90
16 26
17 80
18 16

About Haixin Liu

Haixin Liu is a scholar working on Spectroscopy, Sensory Systems and General Social Sciences, having authored 18 papers that have together received 440 indexed citations. Recurring topics across this work include Supramolecular Chemistry and Complexes (6 papers), Analytical Chemistry and Chromatography (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Cognitive Neuroscience (268 citations), Cellular and Molecular Neuroscience (196 citations) and Sensory Systems (52 citations). Haixin Liu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Takaki Komiyama, Andrew J. Peters, Alfredo Fontanini, Xin Liu, Chi Ren, Duygu Kuzum, Hiroshi Makino, An Na Kim, Ikue Kusumoto‐Yoshida and Antonello Bonci. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

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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