Donna Beer–Stolz

38 total papers · 2.7k total citations
28 papers, 2.2k citations indexed

About

Donna Beer–Stolz is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Donna Beer–Stolz has authored 28 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Immunology and 7 papers in Surgery. Recurrent topics in Donna Beer–Stolz's work include Advanced Glycation End Products research (5 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Autophagy in Disease and Therapy (4 papers). Donna Beer–Stolz is often cited by papers focused on Advanced Glycation End Products research (5 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Autophagy in Disease and Therapy (4 papers). Donna Beer–Stolz collaborates with scholars based in United States, China and Italy. Donna Beer–Stolz's co-authors include Stephan A. Munich, Nikola L. Vujanović, Andrea Sobo-Vujanovic, William Buchser, Simon C. Watkins, Patricia Loughran, Hai Huang, Allan Tsung, Timothy R. Billiar and Michael T. Lotze and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Gastroenterology.

In The Last Decade

Donna Beer–Stolz

28 papers receiving 2.2k citations

Author Peers

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

Author						Papers	Cites
Donna Beer–Stolz	865	559	538	356	308	28	2.2k
Dilip K. Deb	1.1k 1.3×	584 1.0×	278 0.5×	428 1.2×	298 1.0×	41	3.3k
John R. Klune	678 0.8×	797 1.4×	463 0.9×	98 0.3×	142 0.5×	40	2.4k
Robin G. Kunkel	551 0.6×	911 1.6×	473 0.9×	148 0.4×	122 0.4×	29	2.7k
Jyrki J. Eloranta	1.1k 1.3×	206 0.4×	603 1.1×	147 0.4×	206 0.7×	41	2.7k
Pothana Saikumar	1.9k 2.1×	306 0.5×	280 0.5×	130 0.4×	375 1.2×	35	3.2k
Carmen Herencia	555 0.6×	176 0.3×	266 0.5×	378 1.1×	174 0.6×	37	1.9k
Jacques Schmitz	624 0.7×	631 1.1×	805 1.5×	196 0.6×	161 0.5×	49	2.6k
Jon Cardinal	692 0.8×	631 1.1×	533 1.0×	58 0.2×	196 0.6×	36	2.5k
Maria C. de Beer	1.0k 1.2×	407 0.7×	1.1k 2.0×	122 0.3×	264 0.9×	41	2.2k
Lara Campana	755 0.9×	977 1.7×	341 0.6×	59 0.2×	163 0.5×	33	2.6k

Countries citing papers authored by Donna Beer–Stolz

Since Specialization

Citations

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

Fields of papers citing papers by Donna Beer–Stolz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donna Beer–Stolz. 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 Donna Beer–Stolz. The network helps show where Donna Beer–Stolz may publish in the future.

Co-authorship network of co-authors of Donna Beer–Stolz

This figure shows the co-authorship network connecting the top 25 collaborators of Donna Beer–Stolz. A scholar is included among the top collaborators of Donna Beer–Stolz 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 Donna Beer–Stolz. Donna Beer–Stolz 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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