Bengt Widegren

2.7k citations
69 papers · 2.2k · h-index 27

Impact in

Papers in

Bengt Widegren

66 papers receiving 2.1k citations

Peers

Bengt Widegren
Comparison fields: 5 of 122
  • Genetics 255
  • Chemical Health and Safety 14
  • Immunology 418
  • Genetics 542
  • Cancer Research 240
Replace M. Seabright with:
M. Seabright United Kingdom
Tokiharu Takahashi Japan
Raman Sood United States
E. Viégas-Pèquignot France
Shin‐ichi Aota Japan
Karin Gaudenz United States
B. Dutrillaux France
Katja Seipel Switzerland
Albert J. Poustka Germany
Michihiro C. Yoshida Japan
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Citations per field
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M. Seabright · 1×
Citations per year

Countries citing papers authored by Bengt Widegren

Since Specialization
Citations

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

Fields of papers citing papers by Bengt Widegren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991240
2 2000176
3 1993129
4 2004105
5 200885
6 198675
7 200669
8 198665
9 199259
10 199957
11 199953
12 198251
13 201043
14 199542
15
Glial progenitor-like phenotype in low-grade glioma and enhanced CD133-expression and neuronal lineage differentiation potential in high-grade glioma.
200841
16 200141
17 198139
18 198436
19 199634
20 200031

About Bengt Widegren

Bengt Widegren is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Plant Science, having authored 69 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (11 papers), Immunotherapy and Immune Responses (9 papers), Glioma Diagnosis and Treatment (9 papers), Virus-based gene therapy research (8 papers), Marine animal studies overview (8 papers), CAR-T cell therapy research (8 papers), Genomics and Phylogenetic Studies (6 papers) and Genetic diversity and population structure (6 papers). The work is most often cited by research in Genetics (255 citations), Chemical Health and Safety (14 citations), Immunology (418 citations), Genetics (542 citations) and Cancer Research (240 citations). Bengt Widegren has collaborated with scholars based in Sweden, China and United States. Frequent co-authors include Úlfur Árnason, Anette Gullberg, Leif G. Salford, Hans‐Olov Sjögren, Xiaolong Fan, Christian Kjellman, Torbjörn von Schantz, Elisabet Englund, Peter Siesjö and Edward Visse. Their work appears in journals such as Hereditas, Molecular Biology and Evolution, Journal of Molecular Evolution, Journal of Neuro-Oncology and Journal of General Virology.

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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