Gene Burkett

48 total papers · 1.2k total citations
27 papers, 825 citations indexed

About

Gene Burkett is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Gene Burkett has authored 27 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Obstetrics and Gynecology, 11 papers in Pediatrics, Perinatology and Child Health and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Gene Burkett's work include Gestational Diabetes Research and Management (6 papers), Prenatal Substance Exposure Effects (6 papers) and Maternal and Perinatal Health Interventions (5 papers). Gene Burkett is often cited by papers focused on Gestational Diabetes Research and Management (6 papers), Prenatal Substance Exposure Effects (6 papers) and Maternal and Perinatal Health Interventions (5 papers). Gene Burkett collaborates with scholars based in United States. Gene Burkett's co-authors include Pinnita Prabhasawat, Scheffer C.G. Tseng, Keith Barton, Salih Yasin, Emmalee S. Bandstra, Mary Jo O’Sullivan, A. Vijaya Rao, John C. Morrison, W. Kenneth Poole and Luis B. Curet and has published in prestigious journals such as Diabetes Care, Ophthalmology and American Journal of Obstetrics and Gynecology.

In The Last Decade

Gene Burkett

25 papers receiving 752 citations

Author Peers

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

Author Last Decade Papers Cites
Gene Burkett 513 460 218 172 147 27 825
Niilo‐Pekka Huttunen 118 0.2× 42 0.1× 239 1.1× 140 0.8× 42 0.3× 31 1.0k
P Mastroiacovo 132 0.3× 21 0.0× 310 1.4× 174 1.0× 78 0.5× 37 793
F. Davis 84 0.2× 100 0.2× 152 0.7× 9 0.1× 55 0.4× 15 1.0k
Raija Seuri 150 0.3× 151 0.3× 166 0.8× 78 0.5× 21 0.1× 22 777
Magnar Ulstein 231 0.5× 22 0.0× 294 1.3× 62 0.4× 261 1.8× 48 877
Maria Papadimitriou 39 0.1× 39 0.1× 245 1.1× 21 0.1× 45 0.3× 35 735
Abqariyah Yahya 151 0.3× 253 0.6× 69 0.3× 45 0.3× 31 0.2× 41 1.0k
Thomas W. Lowe 106 0.2× 74 0.2× 431 2.0× 58 0.3× 169 1.1× 24 745
J Fabia 195 0.4× 79 0.2× 385 1.8× 39 0.2× 258 1.8× 29 941
Jill Lipsett 104 0.2× 85 0.2× 127 0.6× 57 0.3× 77 0.5× 40 946

Countries citing papers authored by Gene Burkett

Since Specialization
Citations

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

Fields of papers citing papers by Gene Burkett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gene Burkett

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