Marcel Tappaz

5.2k total citations
92 papers, 4.6k citations indexed

About

Marcel Tappaz is a scholar working on Cell Biology, Pediatrics, Perinatology and Child Health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marcel Tappaz has authored 92 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cell Biology, 27 papers in Pediatrics, Perinatology and Child Health and 26 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marcel Tappaz's work include Aldose Reductase and Taurine (28 papers), Prenatal Substance Exposure Effects (26 papers) and Neuroscience and Neuropharmacology Research (18 papers). Marcel Tappaz is often cited by papers focused on Aldose Reductase and Taurine (28 papers), Prenatal Substance Exposure Effects (26 papers) and Neuroscience and Neuropharmacology Research (18 papers). Marcel Tappaz collaborates with scholars based in France, United States and Czechia. Marcel Tappaz's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neurology and The Journal of Comparative Neurology.

In The Last Decade

Marcel Tappaz

92 papers receiving 4.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marcel Tappaz France 39 2.5k 1.3k 816 736 728 92 4.6k
A. Calas France 39 2.7k 1.1× 1.5k 1.1× 665 0.8× 987 1.3× 327 0.4× 155 5.0k
D.M. Jacobowitz United States 40 4.1k 1.6× 1.9k 1.4× 845 1.0× 1.2k 1.6× 258 0.4× 88 7.0k
Ikuko Nagatsu Japan 51 4.6k 1.9× 2.7k 2.1× 980 1.2× 684 0.9× 461 0.6× 275 8.0k
Gary A. Gudelsky United States 45 3.5k 1.4× 1.5k 1.1× 504 0.6× 548 0.7× 167 0.2× 141 6.2k
Yasuhiko Ibata Japan 38 2.3k 0.9× 1.2k 0.9× 824 1.0× 1.8k 2.4× 225 0.3× 216 4.8k
Shinobu Inagaki Japan 46 4.5k 1.8× 2.9k 2.2× 818 1.0× 961 1.3× 540 0.7× 181 6.2k
M. Brownstein United States 35 2.3k 0.9× 1.8k 1.4× 682 0.8× 780 1.1× 197 0.3× 47 4.6k
Setsuji Hisano Japan 32 1.9k 0.8× 1.1k 0.9× 323 0.4× 835 1.1× 184 0.3× 110 3.7k
Kim B. Seroogy United States 49 4.6k 1.8× 2.5k 1.9× 1.0k 1.2× 783 1.1× 200 0.3× 107 7.2k
William F. Colmers Canada 40 3.2k 1.3× 2.0k 1.5× 1.1k 1.3× 1.3k 1.8× 162 0.2× 80 5.1k

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 of co-authors of Marcel Tappaz

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel Tappaz. A scholar is included among the top collaborators of Marcel Tappaz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marcel Tappaz. Marcel Tappaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wierinckx, Anne, et al.. (2008). Gene expression profiling in brain following acute systemic hypertonicity: novel genes possibly involved in osmoadaptation. Journal of Neurochemistry. 105(4). 1198–1211. 16 indexed citations
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Tappaz, Marcel, Marc Bitoun, Isabelle Reymond, & Alain Sergeant. (1999). Characterization of the cDNA Coding for Rat Brain Cysteine Sulfinate Decarboxylase. Journal of Neurochemistry. 73(3). 903–912. 21 indexed citations
5.
Reymond, Isabelle, Alain Sergeant, & Marcel Tappaz. (1996). Molecular cloning and sequence analysis of the cDNA encoding rat liver cysteine sulfinate decarboxylase (CSD). Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1307(2). 152–156. 25 indexed citations
6.
Saravia, Flavia, Christelle Faveeuw, Marcel Tappaz, et al.. (1996). Localization of gamma-aminobutyric acid and glutamic acid decarboxylase in the pancreas of the nonobese diabetic mouse.. Endocrinology. 137(8). 3497–3506. 25 indexed citations
7.
Guérin, Patrick M., Marcel Tappaz, J. Guillaud, & Y. Ménézo. (1995). [Demonstration of cysteine sulfinate decarboxylase (EC 4.1.1.29) in cultured oviduct epithelial cells in cows and goats].. PubMed. 318(5). 523–8. 2 indexed citations
8.
Barbagli, Bruno, et al.. (1994). Production and Characterization of a New Specific Antiserum Against the Taurine Putative Biosynthetic Enzyme Cysteine Sulfinate Decarboxylase. Journal of Neurochemistry. 62(4). 1604–1611. 13 indexed citations
9.
Lachuer, Joël, Isabelle Delton, Michel Buda, & Marcel Tappaz. (1994). The habituation of brainstem catecholaminergic groups to chronically daily restraint stress is stress specific like that of the hypothalamo-pituitary-adrenal axis. Brain Research. 638(1-2). 196–202. 78 indexed citations
10.
Tonon, Marie‐Christine, Olivier Bosler, Marie‐Elisabeth Stoeckel, et al.. (1992). Co‐localization of tyrosine hydroxylase, GABA and neuropeptide Y within axon terminals innervating the intermediate lobe of the frog Rana ridibunda. The Journal of Comparative Neurology. 319(4). 599–605. 33 indexed citations
11.
Martino, Gianvito, Marcel Tappaz, S. Braghi, et al.. (1991). Autoantibodies to glutamic acid decarboxylase (GAD) detected by an immuno-trapping enzyme activity assay: Relation to insulin-dependent diabetes mellitus and islet cell antibodies. Journal of Autoimmunity. 4(6). 915–923. 40 indexed citations
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Lachuer, Joël, Sylvie Gaillet, Bruno Barbagli, Michel Buda, & Marcel Tappaz. (1991). Differential Early Time Course Activation of the Brainstem Catecholaminergic Groups in Response to Various Stresses. Neuroendocrinology. 53(6). 589–596. 71 indexed citations
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Tappaz, Marcel. (1987). [GABAergic neuroendocrine regulation. Morphofunctional data].. PubMed. 13 Spec No. 153–5. 1 indexed citations
17.
Legay, François, Sylvie Henry, & Marcel Tappaz. (1987). Monoclonal antibodies against rat brain glutamic acid decarboxylase (GAD). Neurochemistry International. 10(3). 287–294. 7 indexed citations
18.
Belin, Marie‐Françoise, M. Aguera, Marcel Tappaz, M Jouvet, & J.F. Pujol. (1978). Identification des neurones accumulant le GABA dans le noyau dorsal du Raphé.. Comptes rendus hebdomadaires des séances de l Académie des sciences. 287(9). 3 indexed citations
19.
Tappaz, Marcel & Michael Brownstein. (1977). Origin of glutamate-decarboxylase (GAD)-containing cells in discrete hypothalamic nuclei. Brain Research. 132(1). 95–106. 84 indexed citations
20.
Kizer, John S., Miklós Palkovits, Marcel Tappaz, John W. Kebabian, & M J Brownstein. (1976). Distribution of Releasing Factors, Biogenic Amines, and Related Enzymes in the Bovine Median Eminence. Endocrinology. 98(3). 685–695. 38 indexed citations

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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