Mary Korytkowski

990 citations
13 papers · 631 · h-index 11

Impact in

Papers in

Mary Korytkowski

13 papers receiving 589 citations

Peers

Mary Korytkowski
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 430
  • Experimental and Cognitive Psychology 91
  • Genetics 148
  • Endocrine and Autonomic Systems 33
  • Surgery 168
Replace Mark D. Wheeler with:
Mark D. Wheeler United States
Vincent McAulay United Kingdom
Hana Zamrazilová Czechia
Hélène Sapin United States
N. Adner Sweden
Nienke van Leeuwen Netherlands
C. Sachon France
Chihiro Morita Japan
Agnieszka Bratek Poland
Lotta Lindh‐Åstrand Sweden
Mary Korytkowski relative to Mark D. Wheeler United States Mark D. Wheeler's profile →
Citations per field
00.5×3.6×
Mark D. Wheeler · 1×
Citations per year

Countries citing papers authored by Mary Korytkowski

Since Specialization
Citations

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

Fields of papers citing papers by Mary Korytkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mary Korytkowski, 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 Mary Korytkowski Line = papers co-authored together Mary Korytkowski links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1991144
2 201290
3
Pancreatic beta-cell dysfunction as the primary genetic lesion in NIDDM. Evidence from studies in normal glucose-tolerant individuals with a first-degree NIDDM relative.
199588
4 199484
5 201061
6 200060
7 201232
8 201620
9 201515
10 200314
11 199712
12
Insulin-Therapy Resistance
20039
13 19922

About Mary Korytkowski

Mary Korytkowski is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine and Physiology, having authored 13 papers that have together received 631 indexed citations. Recurring topics across this work include Diabetes Management and Research (6 papers), Diabetes Management and Education (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Pancreatic function and diabetes (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes Treatment and Management (2 papers), Sleep and related disorders (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (430 citations), Experimental and Cognitive Psychology (91 citations), Genetics (148 citations), Endocrine and Autonomic Systems (33 citations) and Surgery (168 citations). Mary Korytkowski has collaborated with scholars based in United States, Greece and Netherlands. Frequent co-authors include Asimina Mitrakou, John E. Gerich, Thiemo Veneman, Marián Mokáň, Susan M. Sereika, Lora E. Burke, Eileen R. Chasens, Trond Jenssen, Hannele Yki‐Järvinen and Philip Cryer. Their work appears in journals such as The Diabetes Educator, Health Psychology, Thyroid, Diabetes Care and Journal of the Academy of Nutrition and Dietetics.

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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