Diana Marver

39 total papers · 1.4k total citations
33 papers, 1.0k citations indexed

About

Diana Marver is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Diana Marver has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, Diabetes and Metabolism, 21 papers in Molecular Biology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Diana Marver's work include Hormonal Regulation and Hypertension (20 papers), Ion Transport and Channel Regulation (18 papers) and Electrolyte and hormonal disorders (10 papers). Diana Marver is often cited by papers focused on Hormonal Regulation and Hypertension (20 papers), Ion Transport and Channel Regulation (18 papers) and Electrolyte and hormonal disorders (10 papers). Diana Marver collaborates with scholars based in United States, Germany and Australia. Diana Marver's co-authors include Juha P. Kokko, Isidore S. Edelman, Kevin J. Petty, Daniel B. Goodman, David Feldman, John W. Funder, I. S. Edelman, J. Schnermann, Michael J. Schwartz and Michael J. Baum and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Diana Marver

33 papers receiving 926 citations

Author Peers

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

Author						Papers	Cites
Diana Marver	610	515	207	156	94	33	1.0k
Philip G. Baer	367 0.6×	229 0.4×	179 0.9×	248 1.6×	166 1.8×	47	1.2k
Duke A. Vaughn	720 1.2×	171 0.3×	210 1.0×	123 0.8×	47 0.5×	40	1.1k
Paula Maloberti	716 1.2×	185 0.4×	113 0.5×	149 1.0×	128 1.4×	45	1.1k
Lucia Torielli	597 1.0×	505 1.0×	104 0.5×	118 0.8×	233 2.5×	37	1.1k
G Boccuzzi	352 0.6×	431 0.8×	67 0.3×	255 1.6×	233 2.5×	36	1.2k
Denis Ikkos	610 1.0×	334 0.6×	78 0.4×	95 0.6×	247 2.6×	27	1.2k
John H. MacIndoe	366 0.6×	591 1.1×	156 0.8×	322 2.1×	47 0.5×	30	1.2k
Vladislav Bugaj	875 1.4×	291 0.6×	374 1.8×	74 0.5×	158 1.7×	24	1.2k
Mykola Mamenko	753 1.2×	274 0.5×	199 1.0×	116 0.7×	131 1.4×	44	1.2k
Richard H. Underwood	288 0.5×	594 1.2×	196 0.9×	59 0.4×	133 1.4×	42	1.1k

Countries citing papers authored by Diana Marver

Since Specialization

Citations

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

Fields of papers citing papers by Diana Marver

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Marver

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