Martin Söderberg
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Treatment and Pharmacology
- CAR-T cell therapy research
-
- Breast Cancer Treatment Studies
Papers in
- Oncology 12
- Cancer Treatment and Pharmacology 6
- HER2/EGFR in Cancer Research 6
- Peptidase Inhibition and Analysis 2
- Cancer survivorship and care 2
-
- Breast Cancer Treatment Studies 6
- Co-authors
- Kenneth Villman (4 shared papers)Mehmet Uzunel (1 shared paper)A. Thörne (1 shared paper)Peter J. Wersäll (1 shared paper)Juha Martola (1 shared paper)Lisbeth Barkholt (1 shared paper)Jonas Mattsson (1 shared paper)Annika Wernerson (1 shared paper)
In The Last Decade
Martin Söderberg
19 papers receiving 511 citations
Peers
Comparison fields: 5 of 71
- Oncology 270
- Cancer Research 128
- Hematology 84
- Transplantation 15
- Pulmonary and Respiratory Medicine 117
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 | 126 | |
| 2 | 2014 | 78 | |
| 3 | 2006 | 51 | |
| 4 | 2004 | 43 | |
| 5 | 2015 | 41 | |
| 6 | 1997 | 35 | |
| 7 | 2013 | 33 | |
| 8 | 2011 | 24 | |
| 9 | 2018 | 24 | |
| 10 | 2010 | 17 | |
| 11 | 1987 | 12 | |
| 12 | 2002 | 12 | |
| 13 | 2018 | 11 | |
| 14 | 1984 | 9 | |
| 15 | 1998 | 9 | |
| 16 | 2013 | 6 | |
| 17 | 1993 | 2 | |
| 18 | 2017 | 1 | |
| 19 | 2010 | 1 |
About Martin Söderberg
Martin Söderberg is a scholar working on Oncology, Cancer Research, Hematology, Transplantation and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 535 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Cancer Treatment and Pharmacology (6 papers), HER2/EGFR in Cancer Research (6 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Peptidase Inhibition and Analysis (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Cancer survivorship and care (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Oncology (270 citations), Cancer Research (128 citations), Hematology (84 citations), Transplantation (15 citations) and Pulmonary and Respiratory Medicine (117 citations). Martin Söderberg has collaborated with scholars based in Sweden, Norway and Uganda. Frequent co-authors include Kenneth Villman, Mehmet Uzunel, A. Thörne, Peter J. Wersäll, Juha Martola, Lisbeth Barkholt, Jonas Mattsson, Annika Wernerson, Olle T.H. Ringdén and Pavel Pisa. Their work appears in journals such as Acta Oncologica, European Journal of Cancer, Breast Cancer Research and Treatment, Bone Marrow Transplantation and BMC Health Services 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.