M.-J. Meile

472 total citations
10 papers, 338 citations indexed

About

M.-J. Meile is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, M.-J. Meile has authored 10 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in M.-J. Meile's work include Receptor Mechanisms and Signaling (3 papers), Diet and metabolism studies (3 papers) and Pancreatic function and diabetes (3 papers). M.-J. Meile is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Diet and metabolism studies (3 papers) and Pancreatic function and diabetes (3 papers). M.-J. Meile collaborates with scholars based in France and Spain. M.-J. Meile's co-authors include Stylianos Nicolaı̈dis, Neil E. Rowland, P. Marfaing-Jallat, S. Nicolaïdis, M. Orosco, Patricia Serradas, Bernard Portha, Sophie Caldérari, M. N. Gangnerau and Carmen Álvarez and has published in prestigious journals such as Brain Research, Diabetologia and Physiology & Behavior.

In The Last Decade

M.-J. Meile

10 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.-J. Meile France	9	121	93	87	70	66	10	338
Anna Hochól Italy	13	178 1.5×	124 1.3×	89 1.0×	68 1.0×	95 1.4×	29	395
Steven W. Shaver Canada	9	216 1.8×	124 1.3×	91 1.0×	78 1.1×	72 1.1×	15	429
Mary‐Clare Holst United States	10	141 1.2×	128 1.4×	73 0.8×	62 0.9×	53 0.8×	12	390
Dianne Figlewicz Lattemann United States	5	328 2.7×	83 0.9×	198 2.3×	153 2.2×	55 0.8×	6	483
R Alvarez-Buylla Mexico	10	257 2.1×	72 0.8×	101 1.2×	25 0.4×	59 0.9×	41	450
Stacy Forbes United States	5	128 1.1×	101 1.1×	68 0.8×	71 1.0×	102 1.5×	6	357
Minemori Watanabe Japan	11	268 2.2×	92 1.0×	139 1.6×	117 1.7×	74 1.1×	20	469
Malcolm K. McGowan United States	10	224 1.9×	164 1.8×	253 2.9×	90 1.3×	95 1.4×	12	442
Frank H. Koegler United States	12	327 2.7×	135 1.5×	121 1.4×	165 2.4×	70 1.1×	16	454
Emma Chiaraviglio Argentina	12	153 1.3×	115 1.2×	65 0.7×	69 1.0×	80 1.2×	26	418

Countries citing papers authored by M.-J. Meile

Since Specialization

Citations

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

Fields of papers citing papers by M.-J. Meile

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.-J. Meile. 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.-J. Meile. The network helps show where M.-J. Meile may publish in the future.

Co-authorship network of co-authors of M.-J. Meile

This figure shows the co-authorship network connecting the top 25 collaborators of M.-J. Meile. A scholar is included among the top collaborators of M.-J. Meile 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 M.-J. Meile. M.-J. Meile is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Caldérari, Sophie, M. N. Gangnerau, M. C. Thibault, et al.. (2007). Defective IGF2 and IGF1R protein production in embryonic pancreas precedes beta cell mass anomaly in the Goto–Kakizaki rat model of type 2 diabetes. Diabetologia. 50(7). 1463–1471. 55 indexed citations

Rouch, C., M.-J. Meile, & M. Orosco. (2003). Extracellular Hypothalamic Serotonin and Plasma Amino Acids in Response to Sequential Carbohydrate and Protein Meals. Nutritional Neuroscience. 6(2). 117–124. 10 indexed citations

Thornton, Simon N., et al.. (1996). Effects of DOCA pretreatment on neuronal sensitivity and cell responsiveness to angiotensin II, in the bed nucleus of the stria terminalis in the rat. Regulatory Peptides. 66(1-2). 59–63. 12 indexed citations

Meile, M.-J., et al.. (1996). A lateral hypothalamic D1 dopaminergic mechanism in conditioned taste aversion. Brain Research. 729(2). 234–245. 42 indexed citations

Orosco, M., et al.. (1995). Spontaneous feeding-related monoamine changes in rostromedial hypothalamus of the obese Zucker rat: A microdialysis study. Physiology & Behavior. 57(6). 1103–1106. 36 indexed citations

Orosco, M., Kyriaki Gerozissis, Claude Rouch, M.-J. Meile, & Stylianos Nicolaı̈dis. (1995). Hypothalamic Monoamines and Insulin in Relation to Feeding in the Genetically Obese Zucker Rat as Revealed by Microdialysis. Obesity Research. 3(S5). 16 indexed citations

Meile, M.-J., et al.. (1993). Chronic vascular catheterization in the mouse. Physiology & Behavior. 54(5). 895–898. 18 indexed citations

Rowland, Neil E., M.-J. Meile, & Stylianos Nicolaı̈dis. (1975). Metering of intravenously infused nutrients in VMH lesioned rats. Physiology & Behavior. 15(4). 443–448. 9 indexed citations

Nicolaı̈dis, Stylianos, et al.. (1974). A flexible technique for long term infusions in unrestrained rats. Pharmacology Biochemistry and Behavior. 2(1). 131–136. 136 indexed citations

10.

Rowland, Neil E., M.-J. Meile, & S. Nicolaïdis. (1973). [Inadequate action of parenteral alimentation on insulin secretion and the control of feeding behavior in the rat].. PubMed. 277(17). 1783–6. 4 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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