Neubert Philippe

450 total citations
9 papers, 375 citations indexed

About

Neubert Philippe is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Neubert Philippe has authored 9 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Surgery and 2 papers in Physiology. Recurrent topics in Neubert Philippe's work include Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (4 papers) and Adenosine and Purinergic Signaling (2 papers). Neubert Philippe is often cited by papers focused on Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (4 papers) and Adenosine and Purinergic Signaling (2 papers). Neubert Philippe collaborates with scholars based in United States, Italy and France. Neubert Philippe's co-authors include Domenico Accili, Sonia M. Najjar, Simeon I. Taylor, Pietro Formisano, Yoshiaki Kido, Alejandro A. Schäffer, Jennifer N. Jernberg, Ron Margolis, Yoshifumi Suzuki and Yumi Imai and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Biochemistry.

In The Last Decade

Neubert Philippe

9 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neubert Philippe United States 7 251 117 74 62 61 9 375
Cédric Cortijo Switzerland 5 193 0.8× 73 0.6× 55 0.7× 18 0.3× 80 1.3× 7 321
A. L. Jones United States 4 289 1.2× 100 0.9× 118 1.6× 10 0.2× 64 1.0× 4 436
Candice L. Bailey United States 8 161 0.6× 149 1.3× 41 0.6× 14 0.2× 59 1.0× 9 419
Donna Flanagan United States 9 187 0.7× 84 0.7× 150 2.0× 52 0.8× 17 0.3× 12 381
B. Mainprice France 8 149 0.6× 32 0.3× 61 0.8× 40 0.6× 15 0.2× 9 426
Inge Vercaeren Belgium 10 226 0.9× 41 0.4× 33 0.4× 14 0.2× 70 1.1× 12 400
M J McKay United Kingdom 10 232 0.9× 53 0.5× 81 1.1× 8 0.1× 146 2.4× 18 432
Laurent Bermont France 11 207 0.8× 45 0.4× 78 1.1× 17 0.3× 78 1.3× 23 398
Geneviève St‐Onge Canada 7 222 0.9× 42 0.4× 184 2.5× 45 0.7× 26 0.4× 9 446
Hideshi Hirayu Japan 11 179 0.7× 23 0.2× 41 0.6× 38 0.6× 259 4.2× 19 413

Countries citing papers authored by Neubert Philippe

Since Specialization
Citations

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

Fields of papers citing papers by Neubert Philippe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neubert Philippe

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

All Works

9 of 9 papers shown
1.
Kido, Yoshiaki, Neubert Philippe, Alejandro A. Schäffer, & Domenico Accili. (2000). Genetic modifiers of the insulin resistance phenotype in mice.. Diabetes. 49(4). 589–596. 67 indexed citations
2.
Imai, Yumi, Neubert Philippe, Giorgio Sesti, Domenico Accili, & Simeon I. Taylor. (1997). Expression of Variant Forms of Insulin Receptor Substrate-1 Identified in Patients with Noninsulin-Dependent Diabetes Mellitus1. The Journal of Clinical Endocrinology & Metabolism. 82(12). 4201–4207. 37 indexed citations
3.
Najjar, Sonia M., Yves R. Boisclair, Neubert Philippe, et al.. (1996). Cloning and Characterization of a Functional Promoter of the Rat pp120 Gene, Encoding a Substrate of the Insulin Receptor Tyrosine Kinase. Journal of Biological Chemistry. 271(15). 8809–8817. 32 indexed citations
4.
Formisano, Pietro, Sonia M. Najjar, Neubert Philippe, et al.. (1995). Receptor-mediated Internalization of Insulin. Journal of Biological Chemistry. 270(41). 24073–24077. 68 indexed citations
5.
Najjar, Sonia M., et al.. (1995). Insulin-Stimulated Phosphorylation of Recombinant pp120/HA4, an Endogenous Substrate of the Insulin Receptor Tyrosine Kinase. Biochemistry. 34(29). 9341–9349. 71 indexed citations
6.
Najjar, Sonia M., et al.. (1994). Molecular Cloning of pp120/ ECTO-ATPase, An Endogenous Substrate of the Insulin Receptor Kinase. Advances in experimental medicine and biology. 343. 169–174. 3 indexed citations
7.
Najjar, Sonia M., Domenico Accili, Neubert Philippe, et al.. (1993). pp120/ecto-ATPase, an endogenous substrate of the insulin receptor tyrosine kinase, is expressed as two variably spliced isoforms.. Journal of Biological Chemistry. 268(2). 1201–1206. 88 indexed citations
8.
Philippe, Neubert, et al.. (1981). [Klinefelter's syndrome associated with precocious puberty due to tumoral secretion of chorionic gonadotropins].. PubMed. 38(2). 129–32. 3 indexed citations
9.
Souillet, G, et al.. (1980). <i>&beta;<sup>+</sup></i>-Thalassemia Intermedia. Human Heredity. 30(5). 324–330. 6 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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