Martin Söderberg
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Treatment and Pharmacology
- CAR-T cell therapy research
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
- Oncology 13
- Cancer Treatment and Pharmacology 6
- HER2/EGFR in Cancer Research 6
- Cancer Cells and Metastasis 2
- Cancer survivorship and care 2
-
- Breast Cancer Treatment Studies 5
- Co-authors
- Kenneth Villman (4 shared papers)Juha Martola (1 shared paper)Lisbeth Barkholt (1 shared paper)Annika Wernerson (1 shared paper)Mats Remberger (1 shared paper)Peter Wersäll (1 shared paper)Nils Albiin (1 shared paper)Mehmet Uzunel (1 shared paper)
In The Last Decade
Martin Söderberg
18 papers receiving 404 citations
Peers
Comparison fields: 5 of 72
- Oncology 282
- Hematology 95
- Transplantation 20
- Cancer Research 105
- Genetics 36
Countries citing papers authored by Martin Söderberg
This map shows the geographic impact of Martin Söderberg'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 Söderberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Söderberg more than expected).
Fields of papers citing papers by Martin Söderberg
This network shows the impact of papers produced by Martin Söderberg. 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 Söderberg. The network helps show where Martin Söderberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Söderberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 120 | |
| 2 | 2006 | 43 | |
| 3 | 2004 | 42 | |
| 4 | 2015 | 36 | |
| 5 | 1997 | 32 | |
| 6 | 2013 | 28 | |
| 7 | 2011 | 23 | |
| 8 | 2018 | 19 | |
| 9 | 2010 | 15 | |
| 10 | 1987 | 12 | |
| 11 | 2002 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 1998 | 9 | |
| 14 | 1984 | 9 | |
| 15 | 2013 | 6 | |
| 16 | 1993 | 2 | |
| 17 | 2017 | 1 | |
| 18 | 2010 | 1 |
About Martin Söderberg
Martin Söderberg is a scholar working on Oncology, Cancer Research, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 18 papers that have together received 419 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (6 papers), HER2/EGFR in Cancer Research (6 papers), Breast Cancer Treatment Studies (5 papers), Cancer therapeutics and mechanisms (2 papers), Cancer Cells and Metastasis (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Cancer survivorship and care (2 papers). The work is most often cited by research in Oncology (282 citations), Hematology (95 citations), Transplantation (20 citations), Cancer Research (105 citations) and Genetics (36 citations). Martin Söderberg has collaborated with scholars based in Sweden, Finland and Norway. Frequent co-authors include Kenneth Villman, Juha Martola, Lisbeth Barkholt, Annika Wernerson, Mats Remberger, Peter Wersäll, Nils Albiin, Mehmet Uzunel, Pavel Pisa and Jonas Mattsson. Their work appears in journals such as Acta Oncologica, European Journal of Cancer, Bone Marrow Transplantation, Breast Cancer Research and Treatment and Clinical Cancer Research.
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.