Gina Deiter

27 total papers · 494 total citations
19 papers, 428 citations indexed

About

Gina Deiter is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cell Biology. According to data from OpenAlex, Gina Deiter has authored 19 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Cell Biology. Recurrent topics in Gina Deiter's work include Muscle metabolism and nutrition (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Exercise and Physiological Responses (3 papers). Gina Deiter is often cited by papers focused on Muscle metabolism and nutrition (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Exercise and Physiological Responses (3 papers). Gina Deiter collaborates with scholars based in United States and Switzerland. Gina Deiter's co-authors include Thomas C. Vary, Charles H. Lang, Joanna Floros, Anne M. Karinch, Philip L. Ballard, Scot R. Kimball, Christopher J. Lynch, Heber C. Nielsen, Roger G. Spragg and Susan DiAngelo and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and The FASEB Journal.

In The Last Decade

Gina Deiter

19 papers receiving 412 citations

Author Peers

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

Author						Papers	Cites
Gina Deiter	184	138	79	76	64	19	428
Mary Ellen Parks	152 0.8×	85 0.6×	72 0.9×	50 0.7×	31 0.5×	20	492
Arnold Johnson	118 0.6×	108 0.8×	45 0.6×	32 0.4×	19 0.3×	19	489
Bettina Stahl	92 0.5×	87 0.6×	17 0.2×	48 0.6×	96 1.5×	20	469
Govind Singh	73 0.4×	44 0.3×	120 1.5×	30 0.4×	49 0.8×	26	446
Asma Yaghi	89 0.5×	209 1.5×	14 0.2×	40 0.5×	34 0.5×	21	441
Michiko Kubo	145 0.8×	56 0.4×	39 0.5×	40 0.5×	11 0.2×	29	459
C. L. Bell	212 1.2×	128 0.9×	65 0.8×	23 0.3×	28 0.4×	17	427
Jianhua Fu	121 0.7×	282 2.0×	17 0.2×	82 1.1×	49 0.8×	26	460
Peter Harris	145 0.8×	114 0.8×	19 0.2×	40 0.5×	21 0.3×	17	461
James Woods	141 0.8×	43 0.3×	40 0.5×	31 0.4×	14 0.2×	26	472

Countries citing papers authored by Gina Deiter

Since Specialization

Citations

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

Fields of papers citing papers by Gina Deiter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gina Deiter

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