А. Г. Бабич

766 total citations
13 papers, 678 citations indexed

About

А. Г. Бабич is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, А. Г. Бабич has authored 13 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Plant Science. Recurrent topics in А. Г. Бабич's work include Ion channel regulation and function (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). А. Г. Бабич is often cited by papers focused on Ion channel regulation and function (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). А. Г. Бабич collaborates with scholars based in Germany, United States and South Korea. А. Г. Бабич's co-authors include Bernd Nürnberg, Udo Maier, Nathalie Macrez, Jean‐François Quignard, C. Mironneau, Jean Mironneau, Cornelia Czupalla, Bernard Fournier, Daria Illenberger and Daniela Leopoldt and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

А. Г. Бабич

12 papers receiving 664 citations

Peers

А. Г. Бабич
Ahmed Chahdi United States
Angela McCahill United Kingdom
Stephan Ryser Switzerland
Udo Maier Germany
А. Г. Бабич
Citations per year, relative to А. Г. Бабич А. Г. Бабич (= 1×) peers Pengfei Lin

Countries citing papers authored by А. Г. Бабич

Since Specialization
Citations

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

Fields of papers citing papers by А. Г. Бабич

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by А. Г. Бабич. 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 А. Г. Бабич. The network helps show where А. Г. Бабич may publish in the future.

Co-authorship network of co-authors of А. Г. Бабич

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

All Works

13 of 13 papers shown
1.
Бабич, А. Г., et al.. (2020). Applied problems of detection and identification of golden potato nematode. 11(4). 1 indexed citations
2.
Kim, Sung‐Bae, Funda Meric‐Bernstam, Aparna Kalyan, et al.. (2019). First-in-Human Phase I Study of Aprutumab Ixadotin, a Fibroblast Growth Factor Receptor 2 Antibody–Drug Conjugate (BAY 1187982) in Patients with Advanced Cancer. Targeted Oncology. 14(5). 591–601. 57 indexed citations
3.
Бабич, А. Г., et al.. (2018). Golden potato cyst nematode and controls it's size. 17–23. 1 indexed citations
4.
Kim, Sung‐Bae, Funda Meric‐Bernstam, Jordan Berlin, et al.. (2017). Abstract CT094: Phase I study of fibroblast growth factor receptor 2 antibody-drug conjugate (FGFR2-ADC) BAY 1187982 in patients with advanced cancer. Cancer Research. 77(13_Supplement). CT094–CT094. 1 indexed citations
6.
Jüttner, René, Dirk Montag, Rogerio B. Craveiro, et al.. (2013). Impaired presynaptic function and elimination of synapses at premature stages during postnatal development of the cerebellum in the absence of CALEB (CSPG5/neuroglycan C). European Journal of Neuroscience. 38(9). 3270–3280. 15 indexed citations
7.
Moré, Margret I., Debashish Das, А. Г. Бабич, et al.. (2005). Impaired Synapse Function during Postnatal Development in the Absence of CALEB, an EGF-like Protein Processed by Neuronal Activity. Neuron. 46(2). 233–245. 34 indexed citations
8.
Zhyvoloup, Alexander, Ivan Nemazanyy, А. Г. Бабич, et al.. (2002). Molecular Cloning of CoA Synthase. Journal of Biological Chemistry. 277(25). 22107–22110. 56 indexed citations
9.
Kreuzer, J., Christiane Viedt, Ralf P. Brandes, et al.. (2002). Platelet‐derived growth factor activates production of reactive oxygen species by NAD(P)H‐oxidase in smooth muscle cells through Gi1,2. The FASEB Journal. 17(1). 38–40. 73 indexed citations
10.
Quignard, Jean‐François, Jean Mironneau, Bernard Fournier, et al.. (2001). Phosphoinositide 3-Kinase γ Mediates Angiotensin II-induced Stimulation of L-type Calcium Channels in Vascular Myocytes. Journal of Biological Chemistry. 276(35). 32545–32551. 85 indexed citations
11.
Macrez, Nathalie, C. Mironneau, Jean‐François Quignard, et al.. (2001). Phosphoinositide 3-Kinase Isoforms Selectively Couple Receptors to Vascular L-Type Ca 2+ Channels. Circulation Research. 89(8). 692–699. 86 indexed citations
12.
Maier, Udo, А. Г. Бабич, Nathalie Macrez, et al.. (2000). Gβ5γ2 Is a Highly Selective Activator of Phospholipid-dependent Enzymes. Journal of Biological Chemistry. 275(18). 13746–13754. 67 indexed citations
13.
Maier, Udo, А. Г. Бабич, & Bernd Nürnberg. (1999). Roles of Non-catalytic Subunits in Gβγ-induced Activation of Class I Phosphoinositide 3-Kinase Isoforms β and γ. Journal of Biological Chemistry. 274(41). 29311–29317. 194 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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