Bertil Kågedal

3.6k citations
146 papers · 3.1k · h-index 31

Impact in

Papers in

Bertil Kågedal

139 papers receiving 2.8k citations

Peers

Bertil Kågedal
Comparison fields: 5 of 132
  • Endocrinology, Diabetes and Metabolism 454
  • Neurology 330
  • Toxicology 76
  • Biochemistry 142
  • Cell Biology 306
Replace Liberato Berrino with:
Liberato Berrino Italy
Mitsuyoshi Nakashima Japan
Judy B. de Haan Australia
John Anthony Bauer United States
Richard C. M. Siow United Kingdom
Toshihiko Uematsu Japan
Giovanni Guido Camici Switzerland
Yoshinori Itoh Japan
Allison Bethanne Reiss United States
Karin Fehsel Germany
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Citations per field
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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 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986151
2 2007142
3 2015111
4 1999104
5 1989102
6 198375
7 200372
8 200866
9 198564
10 199056
11 199654
12 200654
13 199754
14 199852
15 198552
16 200349
17 198547
18 201044
19 198143
20
Nutritional assessment and clinical course in 112 elective surgical patients.
198339

About Bertil Kågedal

Bertil Kågedal is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry, Cell Biology, Oncology and Neurology, having authored 146 papers that have together received 3.1k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (18 papers), melanin and skin pigmentation (16 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Sulfur Compounds in Biology (10 papers), Neuroblastoma Research and Treatments (8 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Cutaneous Melanoma Detection and Management (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (454 citations), Neurology (330 citations), Toxicology (76 citations), Biochemistry (142 citations) and Cell Biology (306 citations). Bertil Kågedal has collaborated with scholars based in Sweden, Norway and Australia. Frequent co-authors include Magnus Källberg, Per Kogner, Lennart Tegler, Anders Gamstedt, Robert Kronstrand, Gunnar Järnerot, Lennart Jan Nilsson, Bengt E. Karlberg, Ulrika K. Stierner and Inger K. Rosdahl. Their work appears in journals such as Clinical Chemistry, Scandinavian Journal of Clinical and Laboratory Investigation, Melanoma Research, European Journal of Endocrinology and Clinical Chemistry and Laboratory Medicine (CCLM).

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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