Fu‐Sun Lo

1.3k citations
38 papers · 1.1k indexed · h-index 18

Impact in

Papers in

Fu‐Sun Lo

37 papers receiving 1.1k citations

Peers

Fu‐Sun Lo
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 836
  • Developmental Neuroscience 99
  • Cognitive Neuroscience 461
  • Neurology 156
  • Sensory Systems 75
Replace Mikhail Y. Frenkel with:
Mikhail Y. Frenkel United States
Claire Piochon United States
Stanislaw Glazewski United Kingdom
Shiyong Huang United States
G.R. Penny United States
Sherry L. Feig United States
Gregory D. Fox United States
Benjamin D. Philpot United States
Glenn H. Kageyama United States
Carl Weitlauf United States
Fu‐Sun Lo relative to Mikhail Y. Frenkel United States Mikhail Y. Frenkel's profile →
Citations per field
00.5×1.7×
Mikhail Y. Frenkel · 1×
Citations per year

Countries citing papers authored by Fu‐Sun Lo

Since Specialization
Citations

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

Fields of papers citing papers by Fu‐Sun Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu‐Sun Lo. 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 Fu‐Sun Lo. The network helps show where Fu‐Sun Lo may publish in the future.

Co-authorship network

The 22 scholars most cited alongside Fu‐Sun Lo, 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 Fu‐Sun Lo Line = papers co-authored together Fu‐Sun Lo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20163
2 201611
3 20155
4 201436
5 201132
6 200713
7 200590
8 2005179
9 200232
10 200220
11 20019
12 200038
13 200017
14 199817
15 19972
16 19978
17 19898
18 1985100
19 198259
20 19819

About Fu‐Sun Lo

Fu‐Sun Lo is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Cognitive Neuroscience, Neurology and Molecular Biology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (29 papers), Photoreceptor and optogenetics research (16 papers), Neural dynamics and brain function (14 papers), Retinal Development and Disorders (14 papers), Neonatal and fetal brain pathology (3 papers), Visual perception and processing mechanisms (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (836 citations), Developmental Neuroscience (99 citations), Cognitive Neuroscience (461 citations), Neurology (156 citations) and Sensory Systems (75 citations). Fu‐Sun Lo has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Reha S. Erzurumlu, William Guido, R. Ranney Mize, Jie Zhu, Jokūbas Žiburkus, Gunilla Ahlsén, Li‐Jen Lee, Kim Bui, Shuxin Zhao and R. John Cork. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Brain Research, Developmental Brain Research and European 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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