Diane C. Green

17 total papers · 938 total citations
14 papers, 688 citations indexed

About

Diane C. Green is a scholar working on General Health Professions, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Diane C. Green has authored 14 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Obstetrics and Gynecology. Recurrent topics in Diane C. Green's work include Health Policy Implementation Science (4 papers), Public Health Policies and Education (3 papers) and Community Health and Development (3 papers). Diane C. Green is often cited by papers focused on Health Policy Implementation Science (4 papers), Public Health Policies and Education (3 papers) and Community Health and Development (3 papers). Diane C. Green collaborates with scholars based in United States, Uganda and Kenya. Diane C. Green's co-authors include Audiey Kao, Paul D. Cleary, Jeffrey P. Koplan, Nancy Davis, Julie A. Gazmararian, Nancy L. Keating, Vivian Y. Wu, Catherine A. Lesesne, Jonathan M. Moore and Brian J. McCarthy and has published in prestigious journals such as JAMA, American Journal of Epidemiology and American Journal of Preventive Medicine.

In The Last Decade

Diane C. Green

13 papers receiving 637 citations

Author Peers

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

Author						Papers	Cites
Diane C. Green	460	137	124	75	59	14	688
Gail Bellamy	297 0.6×	137 1.0×	108 0.9×	24 0.3×	77 1.3×	14	632
Mary Jane Jacobsen	474 1.0×	293 2.1×	79 0.6×	89 1.2×	22 0.4×	13	674
Marieke A. Hartman	496 1.1×	175 1.3×	46 0.4×	41 0.5×	36 0.6×	18	771
Javkhlanbayar Dorjdagva	584 1.3×	91 0.7×	134 1.1×	141 1.9×	21 0.4×	10	771
Michelle Beattie	435 0.9×	111 0.8×	75 0.6×	43 0.6×	22 0.4×	32	727
Martha E. Gaines	368 0.8×	262 1.9×	81 0.7×	68 0.9×	31 0.5×	19	677
Tamala Carter	517 1.1×	93 0.7×	214 1.7×	47 0.6×	102 1.7×	14	771
Laura A. Rowe	275 0.6×	165 1.2×	98 0.8×	117 1.6×	25 0.4×	17	774
Helen Margellos-Anast	332 0.7×	106 0.8×	58 0.5×	100 1.3×	88 1.5×	24	699
Andrea Kabcenell	398 0.9×	257 1.9×	100 0.8×	89 1.2×	21 0.4×	21	759

Countries citing papers authored by Diane C. Green

Since Specialization

Citations

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

Fields of papers citing papers by Diane C. Green

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane C. Green. 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 Diane C. Green. The network helps show where Diane C. Green may publish in the future.

Co-authorship network of co-authors of Diane C. Green

This figure shows the co-authorship network connecting the top 25 collaborators of Diane C. Green. A scholar is included among the top collaborators of Diane C. Green 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 Diane C. Green. Diane C. Green 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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