Diane Todd Pace

30 total papers · 615 total citations
13 papers, 396 citations indexed

About

Diane Todd Pace is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Diane Todd Pace has authored 13 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Genetics and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Diane Todd Pace's work include Menopause: Health Impacts and Treatments (12 papers), Estrogen and related hormone effects (10 papers) and Phytoestrogen effects and research (5 papers). Diane Todd Pace is often cited by papers focused on Menopause: Health Impacts and Treatments (12 papers), Estrogen and related hormone effects (10 papers) and Phytoestrogen effects and research (5 papers). Diane Todd Pace collaborates with scholars based in United States, Italy and Tonga. Diane Todd Pace's co-authors include Steven R. Goldstein, James H. Liu, Mark G. Martens, JoAnn V. Pinkerton, Rinaldo Guglielmi, Filomena Graziano, Raymond W. Ke, Alberto Signore, C Panunzi and Marco Chianelli and has published in prestigious journals such as Fertility and Sterility, European Journal of Endocrinology and Menopause The Journal of The North American Menopause Society.

In The Last Decade

Diane Todd Pace

11 papers receiving 363 citations

Author Peers

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

Author						Papers	Cites
Diane Todd Pace	300	118	89	84	66	13	396
Corrado Altomare	256 0.9×	162 1.4×	86 1.0×	111 1.3×	53 0.8×	13	362
Marlene Montesino	366 1.2×	197 1.7×	85 1.0×	121 1.4×	115 1.7×	9	442
Shih‐Cheng Hsu	95 0.3×	51 0.4×	185 2.1×	55 0.7×	34 0.5×	20	390
D.F. Archer	211 0.7×	187 1.6×	25 0.3×	82 1.0×	24 0.4×	21	383
Lambertina W. Freni-Titulaer	76 0.3×	79 0.7×	40 0.4×	85 1.0×	7 0.1×	11	343
F Bottiglioni	219 0.7×	172 1.5×	12 0.1×	72 0.9×	21 0.3×	24	372
Virginia Gargano	55 0.2×	34 0.3×	61 0.7×	51 0.6×	37 0.6×	14	378
Inmaculada Gavilán	165 0.6×	59 0.5×	31 0.3×	27 0.3×	7 0.1×	18	437
Juan J. Arce	146 0.5×	69 0.6×	17 0.2×	19 0.2×	8 0.1×	13	409
JH Barth	87 0.3×	30 0.3×	21 0.2×	36 0.4×	7 0.1×	19	333

Countries citing papers authored by Diane Todd Pace

Since Specialization

Citations

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

Fields of papers citing papers by Diane Todd Pace

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane Todd Pace

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