Xinran Liu

3.2k citations
39 papers · 2.4k indexed · 2 hit papers · h-index 18
Topics
Neuroscience and Neuropharmacology Research (7 papers)Cellular transport and secretion (7 papers)Lipid Membrane Structure and Behavior (5 papers)
Partner nations
United StatesChinaPoland

In The Last Decade

Xinran Liu

38 papers receiving 2.4k citations

Hit Papers

SynCAM, a Synaptic Adhesion Molecule That Drives Synapse ...200220262010201820022004200400600

Peers

Xinran Liu
Comparison fields: 5 of 116
  • Molecular Biology 1.3k
  • Cellular and Molecular Neuroscience 1.1k
  • Cell Biology 747
  • Physiology 480
  • Neurology 337
Replace Nobutoshi Harata with:
Nobutoshi Harata Japan
Björn Falkenburger Germany
Yıldırım Sara Türkiye
Astrid Rohlmann Germany
Lung‐Sen Kao Taiwan
Hosung Jung South Korea
Niranjana D. Amin United States
Eugene P. Brandon United States
Eun‐Mi Hur South Korea
Stéphanie Baulac France
Xinran Liu relative to Nobutoshi Harata Japan Nobutoshi Harata's profile →
Citations per field
00.5×1.5×2.2×
Nobutoshi Harata · 1×
Citations per year

Countries citing papers authored by Xinran Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xinran Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinran Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinran Liu. A scholar is included among the top collaborators of Xinran 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 Xinran Liu. Xinran Liu 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 5
2 3
3 3
4 9
5 3
6 1
7 17
8 14
9 52
10 9
11 64
12 115
13 73
14 60
15 13
16 14
17 247
18 23
19 20
20 18

About Xinran Liu

Xinran Liu is a scholar working on Health Informatics, Cellular and Molecular Neuroscience and Cell Biology, having authored 39 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Cellular transport and secretion (7 papers) and Lipid Membrane Structure and Behavior (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Cell Biology (747 citations) and Developmental Neuroscience (135 citations). Xinran Liu has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Ege T. Kavalali, Marina G. Mozhayeva, Yıldırım Sara, Thomas C. Südhof, Deniz Atasoy, Thomas Biederer, David S. Williams, S.D.M. Brown, Igor P. Udovichenko and Karen P. Steel. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

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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