Samuli Eldfors
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in ⓘ
- Hematology 19
- Acute Myeloid Leukemia Research 11
- Chronic Myeloid Leukemia Treatments 8
- Multiple Myeloma Research and Treatments 6
- Genetics 9
- Chronic Lymphocytic Leukemia Research 8
- Co-authors
- Caroline A. Heckman (25 shared papers)Kimmo Porkka (23 shared papers)Pekka Ellonen (13 shared papers)Olli Kallioniemi (19 shared papers)Krister Wennerberg (13 shared papers)Satu Mustjoki (11 shared papers)Janna Saarela (5 shared papers)Hanna Rajala (6 shared papers)
- Journals
- Blood (11 papers)Leukemia (5 papers)Cancer Research (4 papers)Oncotarget (3 papers)Blood Advances (2 papers)
- Partner nations
- FinlandUnited StatesSweden
In The Last Decade
Samuli Eldfors
38 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 79
- Hematology 286
- Genetics 252
- Pathology and Forensic Medicine 273
- Cancer Research 219
- Immunology 255
Countries citing papers authored by Samuli Eldfors
This map shows the geographic impact of Samuli Eldfors'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 Samuli Eldfors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuli Eldfors more than expected).
Fields of papers citing papers by Samuli Eldfors
This network shows the impact of papers produced by Samuli Eldfors. 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 Samuli Eldfors. The network helps show where Samuli Eldfors may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuli Eldfors, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 195 | |
| 2 | 2011 | 188 | |
| 3 | 2017 | 78 | |
| 4 | 2016 | 72 | |
| 5 | 2016 | 66 | |
| 6 | 2016 | 44 | |
| 7 | 2013 | 44 | |
| 8 | 2016 | 41 | |
| 9 | 2018 | 41 | |
| 10 | 2020 | 38 | |
| 11 | 2018 | 33 | |
| 12 | 2017 | 30 | |
| 13 | 2018 | 28 | |
| 14 | 2018 | 26 | |
| 15 | 2019 | 19 | |
| 16 | 2017 | 19 | |
| 17 | 2016 | 10 | |
| 18 | 2020 | 10 | |
| 19 | 2020 | 8 | |
| 20 | 2016 | 7 |
About Samuli Eldfors
Samuli Eldfors is a scholar working on Hematology, Genetics, Cancer Research, Pathology and Forensic Medicine and Immunology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Cancer Genomics and Diagnostics (10 papers), Chronic Lymphocytic Leukemia Research (8 papers), Chronic Myeloid Leukemia Treatments (8 papers), Protein Degradation and Inhibitors (7 papers), Multiple Myeloma Research and Treatments (6 papers), Genetic factors in colorectal cancer (5 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). The work is most often cited by research in Hematology (286 citations), Genetics (252 citations), Pathology and Forensic Medicine (273 citations), Cancer Research (219 citations) and Immunology (255 citations). Samuli Eldfors has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Caroline A. Heckman, Kimmo Porkka, Pekka Ellonen, Olli Kallioniemi, Krister Wennerberg, Satu Mustjoki, Janna Saarela, Hanna Rajala, Maija Lepistö and Bhagwan Yadav. Their work appears in journals such as Blood, Leukemia, Cancer Research, Oncotarget and Blood Advances.
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.