Nancy G. Greger

25 total papers · 650 total citations
18 papers, 485 citations indexed

About

Nancy G. Greger is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Nancy G. Greger has authored 18 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Surgery and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Nancy G. Greger's work include Hormonal and reproductive studies (3 papers), Hypothalamic control of reproductive hormones (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Nancy G. Greger is often cited by papers focused on Hormonal and reproductive studies (3 papers), Hypothalamic control of reproductive hormones (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Nancy G. Greger collaborates with scholars based in United States. Nancy G. Greger's co-authors include Benita S. Katzenellenbogen, Carol A. Huseman, Deborah A. Ellis, Maureen A. Frey, Seth Himelhoch, Daniel C. Postellon, Bruce S. Keenan, K. Michael Davies, Robert R. Recker and Sylvie Naar‐King and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, PEDIATRICS and Bone.

In The Last Decade

Nancy G. Greger

18 papers receiving 450 citations

Author Peers

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

Author						Papers	Cites
Nancy G. Greger	203	105	79	71	71	18	485
C. Foster	184 0.9×	87 0.8×	25 0.3×	50 0.7×	69 1.0×	24	528
Viviana Mesch	254 1.3×	74 0.7×	41 0.5×	53 0.7×	17 0.2×	25	500
Michael Schulster	116 0.6×	56 0.5×	87 1.1×	19 0.3×	46 0.6×	23	524
Salam Ranabir	213 1.0×	69 0.7×	17 0.2×	25 0.4×	42 0.6×	26	470
Angelika Stabrey	118 0.6×	101 1.0×	20 0.3×	31 0.4×	130 1.8×	23	476
Ilaria Mancini	183 0.9×	53 0.5×	34 0.4×	32 0.5×	12 0.2×	21	418
Preneet Cheema Brar	192 0.9×	75 0.7×	35 0.4×	44 0.6×	81 1.1×	39	510
Vânia Vieira Borba	85 0.4×	36 0.3×	23 0.3×	45 0.6×	22 0.3×	12	512
Hyo‐Kyoung Nam	103 0.5×	90 0.9×	32 0.4×	54 0.8×	64 0.9×	39	415
Laura Krabbe	208 1.0×	77 0.7×	40 0.5×	8 0.1×	51 0.7×	25	408

Countries citing papers authored by Nancy G. Greger

Since Specialization

Citations

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

Fields of papers citing papers by Nancy G. Greger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nancy G. Greger

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