András Balla

46 papers receiving 3.2k citations

Hit Papers

A Pharmacological Map of the PI3-K Family Defines a Role for p110α in Insulin Signaling 2006 · 940 citations
9402006202620122019250500750

Peers

András Balla
Comparison fields: 5 of 92
  • Cell Biology 1.1k
  • Physiology 281
  • Sensory Systems 245
  • Molecular Biology 2.4k
  • Cellular and Molecular Neuroscience 376
Replace Richard J.H. Wojcikiewicz with:
Richard J.H. Wojcikiewicz United States
Georg W. Mayr Germany
Ben C. Tilly Netherlands
Wilbert Zwart Netherlands
Keli Xu United States
Yasunori Kanaho Japan
K M Ferguson United States
Thomas Simmen Canada
William F. Matter United States
Chi‐Lun Chang United States
András Balla relative to Richard J.H. Wojcikiewicz United States Richard J.H. Wojcikiewicz's profile →
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Citations per year

Countries citing papers authored by András Balla

Since Specialization
Citations

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

Fields of papers citing papers by András Balla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 202410
4 20233
5 201944
6 201725
7 201539
8 201545
9
Effect of hydrolysis time on nutritional, functional and antioxidant properties of protein hydrolysates prepared from gingerbread plum (Neocarya macrophylla) seeds
201337
10 201245
11 2009100
12 200737
13 200626
14 2006294
15 200530
16 200430
17 2002181
18 200271
19 20019
20 200027

About András Balla

András Balla is a scholar working on Physiology, Cell Biology, Aging, Molecular Biology and Cellular and Molecular Neuroscience, having authored 47 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cellular transport and secretion (16 papers), Receptor Mechanisms and Signaling (14 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Ion channel regulation and function (7 papers), Pancreatic function and diabetes (7 papers), Ion Transport and Channel Regulation (5 papers), Lipid Membrane Structure and Behavior (5 papers) and Electrolyte and hormonal disorders (5 papers). The work is most often cited by research in Cell Biology (1.1k citations), Physiology (281 citations), Sensory Systems (245 citations), Molecular Biology (2.4k citations) and Cellular and Molecular Neuroscience (376 citations). András Balla has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Tamás Balla, Péter Várnai, Zachary A. Knight, Kevan M. Shokat, Galina Tuymetova, László Hunyady, Balázs István Tóth, Roger Williams, William A. Weiss and David Stokoe. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Molecular Sciences, Molecular Biology of the Cell, Frontiers in Endocrinology and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.

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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