Lukas Mesik

2.2k citations
14 papers · 1.4k · 1 hit paper · h-index 11

Impact in

Papers in

Lukas Mesik

13 papers receiving 1.4k citations

Lukas Mesik's Hit Papers

AAV-Mediated Anterograde Transsynaptic Tagging: Mapping Corticocollicular Input-Defined Neural Pathways for Defense Behaviors 2016 · 512 citations
5120+3+6Years since publication100200300400500

Peers

Lukas Mesik
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 820
  • Sensory Systems 196
  • Cognitive Neuroscience 798
  • Endocrine and Autonomic Systems 93
  • Biophysics 72
Replace Feixue Liang with:
Feixue Liang China
Xiao-lin Chou United States
D. Gowanlock R. Tervo United States
Michael J. Goard United States
Monica Y. Song United States
Enrique Pérez‐Garci Switzerland
Daniel J. Uhlrich United States
Casey J. Guenthner United States
Edward Zagha United States
Laura A. DeNardo United States
Lukas Mesik relative to Feixue Liang China Feixue Liang's profile →
Citations per field
00.5×3.4×
Feixue Liang · 1×
Citations per year

Countries citing papers authored by Lukas Mesik

Since Specialization
Citations

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

Fields of papers citing papers by Lukas Mesik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
AAV-Mediated Anterograde Transsynaptic Tagging: Mapping Corticocollicular Input-Defined Neural Pathways for Defense Behaviors
Hit paper breakdown →
2016512
2 2018282
3 2016201
4 2015123
5 2018108
6 201555
7 201355
8 201243
9 202221
10 201919
11 201919
12 20248
13 20231
14 20260

About Lukas Mesik

Lukas Mesik is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Sensory Systems and Electrical and Electronic Engineering, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Neuroscience and Neuropharmacology Research (6 papers), Photoreceptor and optogenetics research (5 papers), Neuroscience and Neural Engineering (2 papers), Advanced Memory and Neural Computing (2 papers), Memory and Neural Mechanisms (2 papers), Receptor Mechanisms and Signaling (2 papers) and Transcranial Magnetic Stimulation Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (820 citations), Sensory Systems (196 citations), Cognitive Neuroscience (798 citations), Endocrine and Autonomic Systems (93 citations) and Biophysics (72 citations). Lukas Mesik has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Huizhong W. Tao, Li I. Zhang, Brian Zingg, Zhenggang Zhang, Xiao-lin Chou, Feixue Liang, Xuying Ji, Leena A. Ibrahim, Zhongju Xiao and Ya-tang Li. Their work appears in journals such as Journal of Neuroscience, Neuron, Nature Communications, Nature Biotechnology and Cell Reports.

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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