K. Matyka

1.6k citations
37 papers · 1.2k · h-index 19

Impact in

Papers in

K. Matyka

37 papers receiving 1.1k citations

Peers

K. Matyka
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 613
  • Pharmacy 47
  • Genetics 213
  • Surgery 245
  • Physiology 135
Replace Frank Petrak with:
Frank Petrak Germany
Angela Galler Germany
Edna Roche Ireland
Craig Hirte Australia
Rodrigo O. Moreira Brazil
David Ralph United Kingdom
Rubina A. Heptulla United States
Annette Barnie Canada
Melanie Schorr United States
H. Hämäläinen Finland
K. Matyka relative to Frank Petrak Germany Frank Petrak's profile →
Citations per field
00.5×1.7×
Frank Petrak · 1×
Citations per year

Countries citing papers authored by K. Matyka

Since Specialization
Citations

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

Fields of papers citing papers by K. Matyka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997134
2 201291
3 199872
4 201068
5 200066
6 199962
7 199962
8 199959
9 201258
10 199854
11 199848
12 201042
13 201242
14 201134
15 201233
16 200332
17 200830
18 199827
19 201323
20 201015

About K. Matyka

K. Matyka is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Public Health, Environmental and Occupational Health, Pharmacy and Physiology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes Management and Research (15 papers), Obesity, Physical Activity, Diet (5 papers), Obesity and Health Practices (5 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers), Pancreatic function and diabetes (4 papers), Diet and metabolism studies (4 papers), Diabetes and associated disorders (3 papers) and Pharmacology and Obesity Treatment (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (613 citations), Pharmacy (47 citations), Genetics (213 citations), Surgery (245 citations) and Physiology (135 citations). K. Matyka has collaborated with scholars based in United Kingdom, Saudi Arabia and Sudan. Frequent co-authors include David B. Dunger, Ian Macdonald, J. Lomas, Iain Cranston, Mark L. Evans, Gregory Stores, Sudhesh Kumar, Stephanie A. Amiel, George Osei-Assibey and Ioannis Kyrou. Their work appears in journals such as Archives of Disease in Childhood, Diabetic Medicine, Diabetes Care, Diabetes Obesity and Metabolism and Pediatric Diabetes.

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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