Marion Schoenl

24 total papers · 400 total citations
21 papers, 331 citations indexed

About

Marion Schoenl is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Marion Schoenl has authored 21 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Physiology. Recurrent topics in Marion Schoenl's work include Thyroid Disorders and Treatments (8 papers), Erythrocyte Function and Pathophysiology (5 papers) and Ion channel regulation and function (5 papers). Marion Schoenl is often cited by papers focused on Thyroid Disorders and Treatments (8 papers), Erythrocyte Function and Pathophysiology (5 papers) and Ion channel regulation and function (5 papers). Marion Schoenl collaborates with scholars based in United States, United Kingdom and Hungary. Marion Schoenl's co-authors include Paul J. Davis, Faith B. Davis, Susan D. Blas, W. Dwayne Lawrence, Vivian Cody, Rocco C. Venuto, György Losonczy, Mark R. Deziel, Kumiko Yoshida and Harshad R. Thacore and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Marion Schoenl

21 papers receiving 322 citations

Author Peers

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

Author						Papers	Cites
Marion Schoenl	177	108	77	46	31	21	331
L Kazdová	156 0.9×	75 0.7×	111 1.4×	27 0.6×	51 1.6×	18	352
Ashok Mandala	128 0.7×	39 0.4×	67 0.9×	29 0.6×	13 0.4×	16	359
Beate Jeßnitzer	118 0.7×	66 0.6×	157 2.0×	45 1.0×	46 1.5×	18	362
Ankit Gilani	122 0.7×	96 0.9×	71 0.9×	13 0.3×	43 1.4×	19	343
C Queirolo	124 0.7×	76 0.7×	48 0.6×	16 0.3×	17 0.5×	28	356
Hirotake Sawada	115 0.6×	58 0.5×	59 0.8×	20 0.4×	14 0.5×	18	329
Kurt Gleich	166 0.9×	49 0.5×	62 0.8×	21 0.5×	20 0.6×	16	334
Daisuke Yamanaka	191 1.1×	80 0.7×	87 1.1×	12 0.3×	17 0.5×	24	366
Mayu Kyohara	160 0.9×	137 1.3×	67 0.9×	13 0.3×	17 0.5×	25	363
V Sathiyapriya	77 0.4×	126 1.2×	62 0.8×	18 0.4×	65 2.1×	24	357

Countries citing papers authored by Marion Schoenl

Since Specialization

Citations

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

Fields of papers citing papers by Marion Schoenl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marion Schoenl

This figure shows the co-authorship network connecting the top 25 collaborators of Marion Schoenl. A scholar is included among the top collaborators of Marion Schoenl 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 Marion Schoenl. Marion Schoenl 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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