Alexandre Javier

1.2k citations
6 papers · 366 · 1 hit paper · h-index 5

Impact in

Papers in

Alexandre Javier

6 papers receiving 363 citations

Alexandre Javier's Hit Papers

Whole-brain annotation and multi-connectome cell typing of Drosophila 2024 · 141 citations
1410+1Years since publication4080120

Peers

Alexandre Javier
Comparison fields: 5 of 50
  • Cellular and Molecular Neuroscience 270
  • Sensory Systems 37
  • Aging 13
  • Genetics 120
  • Ecology, Evolution, Behavior and Systematics 80
Replace Laia Serratosa Capdevila with:
Laia Serratosa Capdevila United States
Imaan FM Tamimi United Kingdom
Mehrab N Modi United States
An‐Lun Chin Taiwan
Georgia Dempsey United Kingdom
Tomke Stürner Germany
Avinash Khandelwal United States
Eyal Gruntman United States
Jack W. Lindsey United States
Markus William Pleijzier United Kingdom
Alexandre Javier relative to Laia Serratosa Capdevila United States Laia Serratosa Capdevila's profile →
Citations per field
00.5×1.5×
Laia Serratosa Capdevila · 1×
Citations per year

Countries citing papers authored by Alexandre Javier

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre Javier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Alexandre Javier, 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 Alexandre Javier Line = papers co-authored together Alexandre Javier links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Whole-brain annotation and multi-connectome cell typing of Drosophila
Hit paper breakdown →
2024141
2 2020120
3 202182
4 202514
5 20197
6 20252

About Alexandre Javier

Alexandre Javier is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Aging, Sensory Systems and Genetics, having authored 6 papers that have together received 366 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (4 papers), Insect and Arachnid Ecology and Behavior (2 papers), Color perception and design (1 paper), Insect Utilization and Effects (1 paper), Olfactory and Sensory Function Studies (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper), Multisensory perception and integration (1 paper) and Insect Pheromone Research and Control (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (270 citations), Sensory Systems (37 citations), Aging (13 citations), Genetics (120 citations) and Ecology, Evolution, Behavior and Systematics (80 citations). Alexandre Javier has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Marta Costa, Philipp M. Schlegel, Feng Li, Gerald M. Rubin, Elizabeth C. Marin, Imaan FM Tamimi, Alexander Shakeel Bates, Nikolas Drummond, Gregory S.X.E. Jefferis and Laia Serratosa Capdevila. Their work appears in journals such as Nature, Current Biology, European Journal of Neuroscience, eLife and EClinicalMedicine.

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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