M.L. Novas

676 citations
18 papers · 596 · h-index 14

Impact in

Papers in

M.L. Novas

18 papers receiving 561 citations

Peers

M.L. Novas
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 399
  • Behavioral Neuroscience 78
  • Biological Psychiatry 32
  • Cognitive Neuroscience 134
  • Developmental Neuroscience 26
Replace T. Nabeshima with:
T. Nabeshima Japan
Shin‐ichi Yatsugi Japan
Tsuneo Iwasaki Japan
Victor J. Nickolson Netherlands
Reiji Iizuka Japan
Rodolfo Silveira Uruguay
Zola P. Horovitz United States
M. Orlandi Italy
A. Scotti de Carolis Italy
Toshitaka Nabeshima Japan
M.L. Novas relative to T. Nabeshima Japan T. Nabeshima's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.L. Novas

Since Specialization
Citations

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

Fields of papers citing papers by M.L. Novas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.L. Novas. 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 M.L. Novas. The network helps show where M.L. Novas may publish in the future.

Co-authors

The 18 scholars most cited alongside M.L. Novas, 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 M.L. Novas Line = papers co-authored together M.L. Novas links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1983107
2 198890
3 198660
4 198358
5 198954
6 198937
7 198737
8 198329
9 198326
10 198720
11 198120
12 198316
13 198715
14 198315
15 20255
16
Identification of a potent endogenous benzodiazepine binding inhibitor from bovine cerebral cortex.
19865
17 19901
18 19881

About M.L. Novas

M.L. Novas is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Organic Chemistry, Physiology and Pharmacology, having authored 18 papers that have together received 596 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Epilepsy research and treatment (2 papers), Receptor Mechanisms and Signaling (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Biochemical effects in animals (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (399 citations), Behavioral Neuroscience (78 citations), Biological Psychiatry (32 citations), Cognitive Neuroscience (134 citations) and Developmental Neuroscience (26 citations). M.L. Novas has collaborated with scholars based in Argentina, Canada and Spain. Frequent co-authors include Jorge H. Medina, E. De Robertis, Claudia Wolfman, J.M. Trifaró, M. Levi de Stein, C. Peña, Antonella Paladini, Daniel J. Calvo, Luis M. Zieher and Pedro R. Löwenstein. Their work appears in journals such as European Journal of Pharmacology, Neuroscience, Journal of Neurochemistry, Proceedings of the National Academy of Sciences and Brain Research.

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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