Xinran Liu

11.6k citations
108 papers · 8.1k indexed · 4 hit papers · h-index 48

Impact in

Papers in

Xinran Liu

106 papers receiving 8.1k citations

Hit Papers

hESC-Derived Thalamic Organoids Form Reciprocal Projections When Fused with Cortical Organoids 2019 · 324 citations
3242011202620162021200400600

Peers

Xinran Liu
Comparison fields: 5 of 136
  • Cell Biology 3.2k
  • Cellular and Molecular Neuroscience 2.6k
  • Biochemistry 584
  • Molecular Biology 5.5k
  • Developmental Neuroscience 288
Replace Hisatake Kondo with:
Hisatake Kondo Japan
Jonathan Pevsner United States
Bé Wieringa Netherlands
Kazushi Kimura Japan
Craig Blackstone United States
Wim Annaert Belgium
Alexander Pfeifer Germany
Gilbert Di Paolo United States
Michaela Schweizer Germany
Masaki Fukata Japan
Xinran Liu relative to Hisatake Kondo Japan Hisatake Kondo's profile →
Citations per field
00.5×3.8×
Hisatake Kondo · 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-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20246
3 20244
4 20245
5 20232
6 20232
7 202320
8 202210
9 202132
10 202116
11 202050
12 201441
13 201457
14 201419
15 2013118
16
RIM Proteins Tether Ca2+ Channels to Presynaptic Active Zones via a Direct PDZ-Domain Interaction
Hit paper breakdown →
2011445
17 2008224
18 200318
19 2000339
20 1997160

About Xinran Liu

Xinran Liu is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Physiology, Molecular Biology and Ophthalmology, having authored 108 papers that have together received 8.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (33 papers), Retinal Development and Disorders (24 papers), Neuroscience and Neuropharmacology Research (20 papers), Lipid Membrane Structure and Behavior (19 papers), Photoreceptor and optogenetics research (9 papers), Microtubule and mitosis dynamics (8 papers), Retinal Diseases and Treatments (6 papers) and Calcium signaling and nucleotide metabolism (5 papers). The work is most often cited by research in Cell Biology (3.2k citations), Cellular and Molecular Neuroscience (2.6k citations), Biochemistry (584 citations), Molecular Biology (5.5k citations) and Developmental Neuroscience (288 citations). Xinran Liu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Thomas C. Südhof, Ege T. Kavalali, F. Deák, Yun Wang, David S. Williams, Josep Rizo, Irina Dulubova, Elizabeth A. Roberts, Lawrence S.B. Goldstein and Morven Graham. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron, Scientific Reports, The Journal of Cell Biology 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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