Heidi L. Rupnow

16 total papers · 830 total citations
13 papers, 710 citations indexed

About

Heidi L. Rupnow is a scholar working on Physiology, Biochemistry and Obstetrics and Gynecology. According to data from OpenAlex, Heidi L. Rupnow has authored 13 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 4 papers in Biochemistry and 3 papers in Obstetrics and Gynecology. Recurrent topics in Heidi L. Rupnow's work include Nitric Oxide and Endothelin Effects (8 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Pregnancy and preeclampsia studies (3 papers). Heidi L. Rupnow is often cited by papers focused on Nitric Oxide and Endothelin Effects (8 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Pregnancy and preeclampsia studies (3 papers). Heidi L. Rupnow collaborates with scholars based in United States, Australia and China. Heidi L. Rupnow's co-authors include C. Michael Hart, John A. Polikandriotis, Roy L. Sutliff, Ronald R. Magness, Dean J. Kleinhenz, Terrance M. Phernetton, Ian M. Bird, Mary L. Modrick, Cynthia E. Shaw and Rachel E. Nisbet and has published in prestigious journals such as The Journal of Physiology, Arteriosclerosis Thrombosis and Vascular Biology and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Heidi L. Rupnow

13 papers receiving 697 citations

Author Peers

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

Author						Papers	Cites
Heidi L. Rupnow	280	251	146	138	96	13	710
Mary L. Modrick	316 1.1×	266 1.1×	54 0.4×	167 1.2×	201 2.1×	19	805
Carol A. Gunnett	310 1.1×	164 0.7×	44 0.3×	70 0.5×	166 1.7×	19	731
Timothy S. Brannon	470 1.7×	97 0.4×	339 2.3×	104 0.8×	123 1.3×	10	741
Yvonne Essers	454 1.6×	195 0.8×	35 0.2×	73 0.5×	180 1.9×	20	770
Margarida Mendonca	269 1.0×	150 0.6×	74 0.5×	144 1.0×	218 2.3×	15	643
Naziba Islam	116 0.4×	167 0.7×	63 0.4×	87 0.6×	181 1.9×	16	889
Alvaro A. Reyes	348 1.2×	190 0.8×	151 1.0×	103 0.7×	195 2.0×	16	840
Anna Ollerstam	273 1.0×	356 1.4×	119 0.8×	59 0.4×	278 2.9×	25	823
G. P. Brown	123 0.4×	322 1.3×	116 0.8×	37 0.3×	198 2.1×	19	669
Rita C. Cavaglieri	103 0.4×	224 0.9×	69 0.5×	94 0.7×	54 0.6×	11	702

Countries citing papers authored by Heidi L. Rupnow

Since Specialization

Citations

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

Fields of papers citing papers by Heidi L. Rupnow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heidi L. Rupnow. 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 Heidi L. Rupnow. The network helps show where Heidi L. Rupnow may publish in the future.

Co-authorship network of co-authors of Heidi L. Rupnow

This figure shows the co-authorship network connecting the top 25 collaborators of Heidi L. Rupnow. A scholar is included among the top collaborators of Heidi L. Rupnow 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 Heidi L. Rupnow. Heidi L. Rupnow 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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