Tom Erkers
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Hematology 14
- Acute Myeloid Leukemia Research 9
- Hematopoietic Stem Cell Transplantation 8
- Genetics 12
- Mesenchymal stem cell research 9
- Co-authors
- Silvia Nava (11 shared papers)Olle Ringdén (12 shared papers)Helen Kaipe (11 shared papers)Magnus Westgren (5 shared papers)Jonas Mattsson (4 shared papers)Helén Karlsson (2 shared papers)Erik Iwarsson (2 shared papers)Mehmet Uzunel (2 shared papers)
- Journals
- Biology of Blood and Marrow Transplantation (4 papers)Frontiers in Immunology (3 papers)Stem Cells and Development (3 papers)Blood (3 papers)Scientific Reports (2 papers)
- Partner nations
- SwedenUnited StatesFinland
In The Last Decade
Tom Erkers
30 papers receiving 741 citations
Peers
Comparison fields: 5 of 70
- Genetics 293
- Hematology 216
- Immunology 296
- Transplantation 31
- Obstetrics and Gynecology 69
Countries citing papers authored by Tom Erkers
This map shows the geographic impact of Tom Erkers'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 Tom Erkers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Erkers more than expected).
Fields of papers citing papers by Tom Erkers
This network shows the impact of papers produced by Tom Erkers. 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 Tom Erkers. The network helps show where Tom Erkers may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Erkers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 80 | |
| 2 | 2013 | 80 | |
| 3 | 2011 | 79 | |
| 4 | 2013 | 72 | |
| 5 | 2013 | 51 | |
| 6 | 2014 | 45 | |
| 7 | 2017 | 41 | |
| 8 | 2013 | 35 | |
| 9 | 2014 | 34 | |
| 10 | 2022 | 30 | |
| 11 | 2014 | 30 | |
| 12 | 2013 | 29 | |
| 13 | 2023 | 22 | |
| 14 | 2017 | 21 | |
| 15 | 2015 | 17 | |
| 16 | 2017 | 16 | |
| 17 | 2013 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2016 | 9 | |
| 20 | 2022 | 8 |
About Tom Erkers
Tom Erkers is a scholar working on Hematology, Genetics, Immunology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 753 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), Acute Myeloid Leukemia Research (9 papers), Hematopoietic Stem Cell Transplantation (8 papers), Immune Cell Function and Interaction (6 papers), Neonatal Respiratory Health Research (6 papers), T-cell and B-cell Immunology (4 papers), Reproductive System and Pregnancy (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Genetics (293 citations), Hematology (216 citations), Immunology (296 citations), Transplantation (31 citations) and Obstetrics and Gynecology (69 citations). Tom Erkers has collaborated with scholars based in Sweden, United States and Finland. Frequent co-authors include Silvia Nava, Olle Ringdén, Helen Kaipe, Magnus Westgren, Jonas Mattsson, Helén Karlsson, Erik Iwarsson, Mehmet Uzunel, Behnam Sadeghi and Isabelle Magalhaes. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Frontiers in Immunology, Stem Cells and Development, Blood and Scientific Reports.
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.