Debra Counts

2.6k citations
35 papers · 2.2k · h-index 15

Impact in

Papers in

Debra Counts

34 papers receiving 2.1k citations

Peers

Debra Counts
Comparison fields: 5 of 114
  • Gastroenterology 220
  • Endocrinology, Diabetes and Metabolism 529
  • Molecular Biology 621
  • Nephrology 90
  • Neurology 63
Replace Filippo De Luca with:
Filippo De Luca Italy
Peter Heinz‐Erian Austria
Cristina Meazza Italy
Toshihide Yamamoto Japan
Pandu R. Gangula United States
Malgorzata Gabriela Wasniewska Italy
Jocelyn D. Glazier United Kingdom
George I. Gorodeski United States
Keith James Lindley United Kingdom
Pietro Strisciuglio Italy
Debra Counts relative to Filippo De Luca Italy Filippo De Luca's profile →
Citations per field
00.5×2×3×4×4.7×
Filippo De Luca · 1×
Citations per year

Countries citing papers authored by Debra Counts

Since Specialization
Citations

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

Fields of papers citing papers by Debra Counts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Debra Counts, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Debra Counts Line = papers co-authored together Debra Counts links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006469
2 2006447
3 1992306
4 2016209
5 2001172
6 1992125
7 2000103
8 200156
9 198749
10 199540
11 199535
12 200928
13 199626
14 199624
15 201921
16 19958
17 20018
18 20048
19 20138
20 20157

About Debra Counts

Debra Counts is a scholar working on Endocrinology, Diabetes and Metabolism, Gastroenterology, Genetics, Nephrology and Molecular Biology, having authored 35 papers that have together received 2.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (14 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Celiac Disease Research and Management (4 papers), Sexual Differentiation and Disorders (4 papers), Diabetes and associated disorders (2 papers), Adrenal Hormones and Disorders (2 papers), Epigenetics and DNA Methylation (1 paper) and Hypothalamic control of reproductive hormones (1 paper). The work is most often cited by research in Gastroenterology (220 citations), Endocrinology, Diabetes and Metabolism (529 citations), Molecular Biology (621 citations), Nephrology (90 citations) and Neurology (63 citations). Debra Counts has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Gordon B. Cutler, Michael D. Lesem, Lena M. S. Carlsson, H E Gwirtsman, Alessio Fasano, Francesco De Luca, David G. Schlundt, Deborah Lee Young-Hyman, Francesco Prisco and Anna Sapone. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Pediatric Gastroenterology and Nutrition, The Journal of Pediatrics, Hormone Research in Paediatrics and Proceedings of the National Academy of Sciences.

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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