Marcel Tappaz

5.2k citations
92 papers · 4.6k indexed · h-index 39

Marcel Tappaz

92 papers receiving 4.5k citations

Peers

Marcel Tappaz
Comparison fields: 5 of 104
  • Behavioral Neuroscience 528
  • Cellular and Molecular Neuroscience 2.5k
  • Endocrine and Autonomic Systems 736
  • Biological Psychiatry 157
  • Developmental Neuroscience 200
Replace D.J.S. Sirinathsinghji with:
D.J.S. Sirinathsinghji United Kingdom
D.M. Jacobowitz United States
A. Calas France
Alain Beaudet Canada
Anne Bérod France
Gary A. Gudelsky United States
Björn Meister Sweden
Ikuko Nagatsu Japan
Richard E. Zigmond United States
L.R. Skirboll United States
Marcel Tappaz relative to D.J.S. Sirinathsinghji United Kingdom D.J.S. Sirinathsinghji's profile →
Citations per field
00.5×1.5×
D.J.S. Sirinathsinghji · 1×
Citations per year

Countries citing papers authored by Marcel Tappaz

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Tappaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200816
2 200626
3 200528
4 200457
5 200031
6 199921
7 19985
8 199625
9 199625
10 199633
11 199325
12 199228
13 199117
14 199140
15 19916
16 19904
17 19895
18 198820
19
[GABAergic neuroendocrine regulation. Morphofunctional data].
19871
20
Identification des neurones accumulant le GABA dans le noyau dorsal du Raphé.
19783

About Marcel Tappaz

Marcel Tappaz is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Cell Biology, having authored 92 papers that have together received 4.6k indexed citations. Recurring topics across this work include Aldose Reductase and Taurine (28 papers), Prenatal Substance Exposure Effects (26 papers), Neuroscience and Neuropharmacology Research (18 papers), Neuroendocrine regulation and behavior (13 papers), Biochemical effects in animals (11 papers), Stress Responses and Cortisol (10 papers), Neuroscience of respiration and sleep (8 papers) and Receptor Mechanisms and Signaling (7 papers). The work is most often cited by research in Behavioral Neuroscience (528 citations), Cellular and Molecular Neuroscience (2.5k citations) and Endocrine and Autonomic Systems (736 citations). Marcel Tappaz has collaborated with scholars based in France, United States and Czechia. Frequent co-authors include WH Oertel, Michael Brownstein, D.E. Schmechel, I J Kopin, Enrico Mugnaini, L. Paut, Irwin J. Kopin, Marc Bitoun, Miklós Palkovits and Edmund A. Mroz. Their work appears in journals such as Neuroscience, Brain Research, Journal of Neurochemistry, Neuroendocrinology and Endocrinology.

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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