Gina Pete

8 total papers · 417 total citations
7 papers, 354 citations indexed

About

Gina Pete is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Endocrine and Autonomic Systems. According to data from OpenAlex, Gina Pete has authored 7 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Physiology and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Gina Pete's work include Nitric Oxide and Endothelin Effects (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Sleep and Wakefulness Research (2 papers). Gina Pete is often cited by papers focused on Nitric Oxide and Endothelin Effects (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Sleep and Wakefulness Research (2 papers). Gina Pete collaborates with scholars based in United States and New Zealand. Gina Pete's co-authors include James R. Sowers, Joseph C. Dunbar, Ranganath Muniyappa, Mary F. Walsh, Musa A. Haxhiu, Serdia O. Mack, Prabha Kc, Yang Hu, Jenny M. Oldham and Michael P. Walsh and has published in prestigious journals such as Endocrinology, Experimental Biology and Medicine and Hormone and Metabolic Research.

In The Last Decade

Gina Pete

7 papers receiving 348 citations

Author Peers

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

Author						Papers	Cites
Gina Pete	144	121	98	89	75	7	354
Jenny Penschow	66 0.5×	111 0.9×	113 1.2×	59 0.7×	57 0.8×	4	366
N Aiyar	92 0.6×	128 1.1×	45 0.5×	51 0.6×	59 0.8×	10	372
Judith A. Kaye	54 0.4×	57 0.5×	100 1.0×	97 1.1×	28 0.4×	5	386
Fengxia Ge	52 0.4×	93 0.8×	105 1.1×	117 1.3×	61 0.8×	8	372
Lisa L. Koorneef	121 0.8×	59 0.5×	43 0.4×	104 1.2×	23 0.3×	15	356
Judy J. Pang	37 0.3×	56 0.5×	178 1.8×	87 1.0×	39 0.5×	9	386
Ana Quênia Gomes da Silva	52 0.4×	40 0.3×	232 2.4×	180 2.0×	162 2.2×	12	381
Jiajing Yin	43 0.3×	113 0.9×	92 0.9×	104 1.2×	24 0.3×	7	375
Kim A. Roberts	79 0.5×	151 1.2×	36 0.4×	44 0.5×	199 2.7×	13	374
Albert F. Debons	91 0.6×	55 0.5×	75 0.8×	109 1.2×	16 0.2×	12	309

Countries citing papers authored by Gina Pete

Since Specialization

Citations

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

Fields of papers citing papers by Gina Pete

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gina Pete

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