Bertil Kågedal

3.6k citations
141 papers · 2.8k · h-index 30

Impact in

Papers in

Bertil Kågedal

137 papers receiving 2.6k citations

Peers

Bertil Kågedal
Comparison fields: 5 of 134
  • Endocrinology, Diabetes and Metabolism 433
  • Toxicology 74
  • Neurology 324
  • Biochemistry 143
  • Cell Biology 311
Replace Liberato Berrino with:
Liberato Berrino Italy
Mitsuyoshi Nakashima Japan
Judy B. de Haan Australia
Toshihiko Uematsu Japan
Karin Fehsel Germany
Roberto Fantozzi Italy
Allison B. Reiss United States
John Anthony Bauer United States
Toshiaki Tamaki Japan
Giovanni G. Camici Switzerland
Bertil Kågedal relative to Liberato Berrino Italy Liberato Berrino's profile →
Citations per field
00.5×2.9×
Liberato Berrino · 1×
Citations per year

Countries citing papers authored by Bertil Kågedal

Since Specialization
Citations

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

Fields of papers citing papers by Bertil Kågedal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007140
2 1986138
3 2015103
4 198990
5 199990
6 198368
7 200366
8 200861
9 198560
10 199055
11 199753
12 199851
13 200647
14 200347
15 198545
16 198543
17 201040
18
Nutritional assessment and clinical course in 112 elective surgical patients.
198339
19 200636
20 199635

About Bertil Kågedal

Bertil Kågedal is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cell Biology, Oncology and Physiology, having authored 141 papers that have together received 2.8k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (18 papers), melanin and skin pigmentation (17 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Sulfur Compounds in Biology (10 papers), Cutaneous Melanoma Detection and Management (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Drug Transport and Resistance Mechanisms (7 papers) and Neuroblastoma Research and Treatments (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (433 citations), Toxicology (74 citations), Neurology (324 citations), Biochemistry (143 citations) and Cell Biology (311 citations). Bertil Kågedal has collaborated with scholars based in Sweden, Norway and Czechia. Frequent co-authors include Magnus Källberg, Per Kogner, Lennart Tegler, Anders Gamstedt, Gunnar Järnerot, Lennart Nilsson, Robert Kronstrand, Lars Borgström, Ulrika Stierner and A Augustsson. Their work appears in journals such as Clinical Chemistry, Melanoma Research, Scandinavian Journal of Clinical and Laboratory Investigation, European Journal of Endocrinology and Analytical Biochemistry.

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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