Elżbieta Ber

12 total papers · 639 total citations
10 papers, 424 citations indexed

About

Elżbieta Ber is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Animal Science and Zoology. According to data from OpenAlex, Elżbieta Ber has authored 10 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Animal Science and Zoology. Recurrent topics in Elżbieta Ber's work include Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (4 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). Elżbieta Ber is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (4 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). Elżbieta Ber collaborates with scholars based in United States, Poland and United Kingdom. Elżbieta Ber's co-authors include Margaret A. Cascieri, Sharon Sadowski, Malcolm MacCoss, Gary G. Chicchi, Sander G. Mills, Jeffrey J. Hale, Richard Hargreaves, Angela Williams, F.D. Tattersall and N.M.J. Rupniak and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Endocrinology.

In The Last Decade

Elżbieta Ber

10 papers receiving 401 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Elżbieta Ber	284	195	82	62	50	10	424
Kerry L. Chapman	279 1.0×	194 1.0×	112 1.4×	44 0.7×	19 0.4×	21	467
J Birnbaum	163 0.6×	130 0.7×	52 0.6×	91 1.5×	53 1.1×	14	455
Brande S. Williams	278 1.0×	131 0.7×	94 1.1×	91 1.5×	29 0.6×	14	478
Didier Lambert	140 0.5×	91 0.5×	88 1.1×	55 0.9×	54 1.1×	14	457
Linshan Xie	321 1.1×	156 0.8×	21 0.3×	30 0.5×	48 1.0×	8	460
Hilma S. Alpers	200 0.7×	176 0.9×	37 0.5×	39 0.6×	13 0.3×	17	458
Hans Petersen	230 0.8×	136 0.7×	121 1.5×	26 0.4×	20 0.4×	14	469
Steffen V. F. Hansen	242 0.9×	65 0.3×	172 2.1×	85 1.4×	94 1.9×	12	457
John S. Brabson	335 1.2×	138 0.7×	34 0.4×	121 2.0×	20 0.4×	9	421
Larry S. Birkemo	296 1.0×	319 1.6×	49 0.6×	29 0.5×	23 0.5×	10	458

Countries citing papers authored by Elżbieta Ber

Since Specialization

Citations

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

Fields of papers citing papers by Elżbieta Ber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elżbieta Ber

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

All Works

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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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