Juan Burrone

5.6k citations
54 papers · 4.0k indexed · 1 hit paper · h-index 33

Impact in

Papers in

Juan Burrone

53 papers receiving 3.9k citations

Hit Papers

Drugs that inhibit TMEM16 proteins block SARS-CoV-2 spike-induced syncytia 2021 · 281 citations
281202120262022202450100150200250

Peers

Juan Burrone
Comparison fields: 5 of 115
  • Cellular and Molecular Neuroscience 2.9k
  • Developmental Neuroscience 327
  • Cognitive Neuroscience 1.1k
  • Cell Biology 651
  • Neurology 291
Replace Werner Zuschratter with:
Werner Zuschratter Germany
Jun Noguchi Japan
Kenneth N. Fish United States
Zhanyan Fu United States
Claire Wyart France
Martin Heine Germany
Tetsuo Yamamori Japan
Vitaly A. Klyachko United States
Elly Nedivi United States
Renato Frischknecht Germany
Juan Burrone relative to Werner Zuschratter Germany Werner Zuschratter's profile →
Citations per field
00.5×1.5×2.3×
Werner Zuschratter · 1×
Citations per year

Countries citing papers authored by Juan Burrone

Since Specialization
Citations

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

Fields of papers citing papers by Juan Burrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20249
3 20240
4 202314
5 20238
6 20238
7 20233
8 202117
9
Drugs that inhibit TMEM16 proteins block SARS-CoV-2 spike-induced syncytia
Hit paper breakdown →
2021281
10 201755
11 201572
12 20121
13 201253
14 2010479
15 2009175
16 2005126
17 20053
18 200278
19 200078
20 199775

About Juan Burrone

Juan Burrone is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Structural Biology, Biophysics and Cell Biology, having authored 54 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (36 papers), Photoreceptor and optogenetics research (23 papers), Neural dynamics and brain function (20 papers), Neuroscience and Neural Engineering (16 papers), Retinal Development and Disorders (10 papers), Cellular transport and secretion (8 papers), Lipid Membrane Structure and Behavior (8 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.9k citations), Developmental Neuroscience (327 citations), Cognitive Neuroscience (1.1k citations), Cell Biology (651 citations) and Neurology (291 citations). Juan Burrone has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Matthew S. Grubb, Venkatesh N. Murthy, Leon Lagnado, Michael L. O’Byrne, Naïla Ben Fredj, Laura C. Andreae, Winnie Wefelmeyer, Guilherme Neves, Nir Grossman and Patrick Degenaar. Their work appears in journals such as Journal of Neuroscience, Cell Reports, Current Opinion in Neurobiology, Nature Neuroscience and Nature.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026