Martin Augsten

3.2k citations
30 papers · 2.6k · h-index 23

Impact in

  • Oncology top 2%
    • Cancer Cells and Metastasis
    • Chemokine receptors and signaling
    • Cancer Immunotherapy and Biomarkers
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Epigenetics and DNA Methylation 3
    • Cancer Cells and Metastasis 7
    • Chemokine receptors and signaling 5
    • Cancer-related Molecular Pathways 3

Martin Augsten

29 papers receiving 2.6k citations

Peers

Martin Augsten
Comparison fields: 5 of 107
  • Oncology 1.2k
  • Cancer Research 594
  • Immunology 559
  • Molecular Biology 1.1k
  • Cell Biology 215
Replace Aya Kobayashi with:
Aya Kobayashi Japan
Pallavi Chaturvedi United States
Theresa LaVallee United States
Alicia S. Chung United States
Kaustubh Datta United States
Julien Wicinski France
Giuseppina Comito Italy
Verena Tischler Switzerland
Zhenhe Suo Norway
Anushka Dongre United States
Martin Augsten relative to Aya Kobayashi Japan Aya Kobayashi's profile →
Citations per field
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Aya Kobayashi · 1×
Citations per year

Countries citing papers authored by Martin Augsten

Since Specialization
Citations

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

Fields of papers citing papers by Martin Augsten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009444
2 2014357
3 2009202
4 2018176
5 2012148
6 2014119
7 2014109
8 2017100
9 201391
10 201089
11 201987
12 201386
13 202081
14 201674
15 200573
16 201658
17 201351
18 201250
19 201449
20 201937

About Martin Augsten

Martin Augsten is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Genetics, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Chemokine receptors and signaling (5 papers), Immune cells in cancer (4 papers), Cancer-related Molecular Pathways (3 papers), Epigenetics and DNA Methylation (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Oncology (1.2k citations), Cancer Research (594 citations), Immunology (559 citations), Molecular Biology (1.1k citations) and Cell Biology (215 citations). Martin Augsten has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Arne Östman, Lars Egevad, Elin Sjöberg, Eleonor Olsson, Christina Hägglöf, Arne Östman, Helene Rundqvist, Åke Borg, Jeroen Frijhoff and Panagiotis Tsagozis. Their work appears in journals such as Cancer Research, Proceedings of the National Academy of Sciences, Cell Death and Disease, Cell Death Discovery and Infection and Immunity.

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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