Martin O. Bergö

9.3k citations
106 papers · 6.8k indexed · 3 hit papers · h-index 41
    • RNA Research and Splicing 20
    • Protein Kinase Regulation and GTPase Signaling 16
    • Nuclear Structure and Function 15
    • Retinoids in leukemia and cellular processes 11
    • Ubiquitin and proteasome pathways 10
    • Cancer, Lipids, and Metabolism 9
    • Cellular transport and secretion 9
  • Aging top 5%
  • Oncology top 5%
    • Cancer-related Molecular Pathways 10

Martin O. Bergö

104 papers receiving 6.7k citations

Hit Papers

BACH1 Stabilization by Antioxidants Stimulates Lun...4272014202620182022200400600

Peers

Martin O. Bergö
Comparison fields: 5 of 127
  • Molecular Biology 5.0k
  • Cancer Research 927
  • Cell Biology 889
  • Aging 68
  • Oncology 947
Replace Hideaki Kamata with:
Hideaki Kamata Japan
Deepak Nijhawan United States
Frédéric Bost France
Hideki Nishitoh Japan
Dennis J. Templeton United States
Dae‐Yeul Yu South Korea
Ching-Shih Chen United States
Nicholas H. Heintz United States
John P. Vaillancourt Canada
Hidetoshi Hayashi Japan
Martin O. Bergö relative to Hideaki Kamata Japan Hideaki Kamata's profile →
Citations per field
00.5×
Hideaki Kamata · 1×
Citations per year

Countries citing papers authored by Martin O. Bergö

Since Specialization
Citations

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

Fields of papers citing papers by Martin O. Bergö

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin O. Bergö. 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 Martin O. Bergö. The network helps show where Martin O. Bergö may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202326
4 20238
5 202222
6 202235
7 20213
8 202117
9 201385
10 201244
11 201086
12 200785
13 200649
14 2005240
15 2005154
16 2004135
17 200220
18 200267
19 19982
20 199744

About Martin O. Bergö

Martin O. Bergö is a scholar working on Cancer Research, Molecular Biology and Cell Biology, having authored 106 papers that have together received 6.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (20 papers), Protein Kinase Regulation and GTPase Signaling (16 papers), Nuclear Structure and Function (15 papers), Retinoids in leukemia and cellular processes (11 papers), Ubiquitin and proteasome pathways (10 papers), Cancer-related Molecular Pathways (10 papers), Cancer, Lipids, and Metabolism (9 papers) and Cellular transport and secretion (9 papers). The work is most often cited by research in Molecular Biology (5.0k citations), Cancer Research (927 citations) and Cell Biology (889 citations). Martin O. Bergö has collaborated with scholars based in Sweden, United States and China. Frequent co-authors include Stephen G. Young, Mohamed X. Ibrahim, Volkan I. Sayin, Per Lindahl, Jonas A. Nilsson, Patrick J. Casey, Clotilde Wiel, Erik Larsson, Thomas Olivecrona and Christin Karlsson. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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