Aviva G. Nathan

28 total papers · 656 total citations
21 papers, 451 citations indexed

About

Aviva G. Nathan is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions and Family Practice. According to data from OpenAlex, Aviva G. Nathan has authored 21 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 4 papers in General Health Professions and 4 papers in Family Practice. Recurrent topics in Aviva G. Nathan's work include Diabetes Treatment and Management (9 papers), Diabetes Management and Research (8 papers) and Diabetes Management and Education (7 papers). Aviva G. Nathan is often cited by papers focused on Diabetes Treatment and Management (9 papers), Diabetes Management and Research (8 papers) and Diabetes Management and Education (7 papers). Aviva G. Nathan collaborates with scholars based in United States, Vietnam and Israel. Aviva G. Nathan's co-authors include Elbert S. Huang, Marshall H. Chin, Scott C. Cook, Susanna Howard, Neda Laiteerapong, Jennifer Cooper, M. Reza Skandari, Wen Wan, Aaron N. Winn and Michael J. O’Grady and has published in prestigious journals such as Diabetes Care, Diabetes and Journal of General Internal Medicine.

In The Last Decade

Aviva G. Nathan

20 papers receiving 446 citations

Author Peers

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

Author						Papers	Cites
Aviva G. Nathan	150	135	129	63	58	21	451
Kay Miller	89 0.6×	138 1.0×	53 0.4×	72 1.1×	10 0.2×	29	502
Bryan A. Weber	43 0.3×	171 1.3×	47 0.4×	98 1.6×	13 0.2×	19	552
Michelle L. Johnson	41 0.3×	135 1.0×	32 0.2×	69 1.1×	42 0.7×	19	551
Katherine J. Roberts	44 0.3×	135 1.0×	70 0.5×	48 0.8×	17 0.3×	24	408
Raimundo Celestino Silva Neves	225 1.5×	61 0.5×	41 0.3×	52 0.8×	29 0.5×	13	517
Maureen Boughton	57 0.4×	165 1.2×	31 0.2×	194 3.1×	23 0.4×	20	545
Sonjia Kenya	88 0.6×	157 1.2×	33 0.3×	32 0.5×	13 0.2×	33	455
Maria Soto‐Greene	88 0.6×	93 0.7×	52 0.4×	258 4.1×	24 0.4×	31	542
Susan M. Campbell	21 0.1×	162 1.2×	55 0.4×	72 1.1×	12 0.2×	14	466
Ruben Pinkhasov	26 0.2×	150 1.1×	23 0.2×	94 1.5×	29 0.5×	16	456

Countries citing papers authored by Aviva G. Nathan

Since Specialization

Citations

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

Fields of papers citing papers by Aviva G. Nathan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aviva G. Nathan. 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 Aviva G. Nathan. The network helps show where Aviva G. Nathan may publish in the future.

Co-authorship network of co-authors of Aviva G. Nathan

This figure shows the co-authorship network connecting the top 25 collaborators of Aviva G. Nathan. A scholar is included among the top collaborators of Aviva G. Nathan 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 Aviva G. Nathan. Aviva G. Nathan 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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