Laura Font

1.7k citations
42 papers · 1.4k · h-index 23

Impact in

Papers in

Laura Font

41 papers receiving 1.4k citations

Peers

Laura Font
Comparison fields: 5 of 114
  • Cellular and Molecular Neuroscience 574
  • Physiology 124
  • Paleontology 171
  • Biological Psychiatry 33
  • Archeology 143
Replace Martin Stocker with:
Martin Stocker Germany
Akira Tsujimoto Japan
Christian M. Müller Germany
Magnus Ivarsson Sweden
Ryan J. Middleton Australia
Dennis J. McCarthy United States
Susanna Carboni Italy
Richard Exley United Kingdom
Lauren Willis United States
John D. Green New Zealand
Laura Font relative to Martin Stocker Germany Martin Stocker's profile →
Citations per field
00.5×3.7×
Martin Stocker · 1×
Citations per year

Countries citing papers authored by Laura Font

Since Specialization
Citations

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

Fields of papers citing papers by Laura Font

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008110
2 200884
3 200881
4 200979
5 201271
6 200567
7 200655
8 200853
9 200852
10 201452
11 200752
12 200550
13 200849
14 201443
15 200941
16 201438
17 200734
18 201232
19 200729
20 200829

About Laura Font

Laura Font is a scholar working on Cellular and Molecular Neuroscience, Paleontology, Geophysics, Archeology and Molecular Biology, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (16 papers), Neuroscience and Neuropharmacology Research (7 papers), Geological and Geochemical Analysis (6 papers), Forensic Anthropology and Bioarchaeology Studies (5 papers), earthquake and tectonic studies (5 papers), Archaeology and ancient environmental studies (5 papers), Receptor Mechanisms and Signaling (4 papers) and High-pressure geophysics and materials (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (574 citations), Physiology (124 citations), Paleontology (171 citations), Biological Psychiatry (33 citations) and Archeology (143 citations). Laura Font has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include Carlos M.G. Aragón, Marta Miquel, John D. Salamone, Andrew M. Farrar, Susana Mingote, G.R. Davies, Lila T. Worden, Geoff Nowell, Mariana Pereira and James J. Chrobak. Their work appears in journals such as Psychopharmacology, Science & Justice, Journal of Analytical Atomic Spectrometry, Alcoholism Clinical and Experimental Research and Pharmacology Biochemistry and Behavior.

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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