Inge‐Bert Täljedal

3.7k citations
112 papers · 2.6k · h-index 28

Impact in

Papers in

Inge‐Bert Täljedal

109 papers receiving 2.3k citations

Peers

Inge‐Bert Täljedal
Comparison fields: 5 of 111
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Surgery 1.9k
  • Genetics 836
  • Physiology 84
  • Pharmacology 283
Replace Janove Sehlin with:
Janove Sehlin Sweden
W. J. Malaisse Belgium
Phuong Oanh T. Tran United States
Nicolai M. Doliba United States
Hans Kofod Denmark
Myriam Nenquin Belgium
Sakeneh Zraika United States
Masaya Hosokawa Japan
Y. Shigeta Japan
Raymond A. Pederson Canada
Inge‐Bert Täljedal relative to Janove Sehlin Sweden Janove Sehlin's profile →
Citations per field
00.5×1.5×
Janove Sehlin · 1×
Citations per year

Countries citing papers authored by Inge‐Bert Täljedal

Since Specialization
Citations

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

Fields of papers citing papers by Inge‐Bert Täljedal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inge‐Bert Täljedal. 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 Inge‐Bert Täljedal. The network helps show where Inge‐Bert Täljedal may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974151
2 1981147
3 1999138
4 1974128
5 1971120
6 1971101
7 1976100
8 197590
9 198484
10 197470
11 197260
12 197151
13 198950
14 197149
15 198448
16 196948
17 198844
18 196944
19 197843
20 198143

About Inge‐Bert Täljedal

Inge‐Bert Täljedal is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology and Physiology, having authored 112 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (86 papers), Diabetes and associated disorders (31 papers), Metabolism, Diabetes, and Cancer (26 papers), Diabetes Management and Research (23 papers), Diet, Metabolism, and Disease (22 papers), Adipose Tissue and Metabolism (14 papers), Cannabis and Cannabinoid Research (11 papers) and Diet and metabolism studies (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Surgery (1.9k citations), Genetics (836 citations), Physiology (84 citations) and Pharmacology (283 citations). Inge‐Bert Täljedal has collaborated with scholars based in Sweden, United States and Norway. Frequent co-authors include Janove Sehlin, Bo Hellman, Åke Lernmark, Kjell Grankvist, Lars‐Åke Idahl, Stefan L. Marklund, P. Rooth, Hans-Jürgen Hahn, Erik Gylfe and Gerhard Christofori. Their work appears in journals such as European Journal of Endocrinology, Endocrinology, Diabetes, The Journal of Physiology and Transplantation.

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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