Dan Grandér
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
- Co-authors
- Stefan Einhorn (38 shared papers)Per Johnsson (11 shared papers)Kevin V. Morris (4 shared papers)Martin Corcoran (22 shared papers)Olle Sangfelt (24 shared papers)Theocharis Panaretakis (14 shared papers)Katja Pokrovskaja Tamm (24 shared papers)Leonard Lipovich (1 shared paper)
- Journals
- Blood (9 papers)Experimental Cell Research (7 papers)European Journal Of Haematology (5 papers)Oncogene (5 papers)Leukemia (4 papers)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Dan Grandér
135 papers receiving 7.9k citations
Peers
Comparison fields: 5 of 134
- Cancer Research 2.0k
- Genetics 836
- Oncology 2.0k
- Immunology 1.6k
- Molecular Biology 4.4k
Countries citing papers authored by Dan Grandér
This map shows the geographic impact of Dan Grandér'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 Dan Grandér with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Grandér more than expected).
Fields of papers citing papers by Dan Grandér
This network shows the impact of papers produced by Dan Grandér. 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 Dan Grandér. The network helps show where Dan Grandér may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Grandér, 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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 574 | |
| 2 | 2007 | 421 | |
| 3 | 2013 | 371 | |
| 4 | 2006 | 247 | |
| 5 | 2002 | 200 | |
| 6 | 2009 | 185 | |
| 7 | 1997 | 173 | |
| 8 | 2017 | 169 | |
| 9 | 2007 | 163 | |
| 10 | 2012 | 158 | |
| 11 | 2001 | 145 | |
| 12 | 2009 | 142 | |
| 13 | 2002 | 136 | |
| 14 | 1999 | 129 | |
| 15 | 1995 | 121 | |
| 16 | Induction of apoptosis and inhibition of cell growth are independent responses to interferon-alpha in hematopoietic cell lines. | 1997 | 114 |
| 17 | 2017 | 108 | |
| 18 | 1997 | 108 | |
| 19 | 2004 | 100 | |
| 20 | 2018 | 97 |
About Dan Grandér
Dan Grandér is a scholar working on Oncology, Genetics, Cancer Research, Immunology and Molecular Biology, having authored 135 papers that have together received 8.1k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (24 papers), Chronic Lymphocytic Leukemia Research (24 papers), Cancer-related Molecular Pathways (22 papers), interferon and immune responses (15 papers), Cell death mechanisms and regulation (12 papers), Acute Lymphoblastic Leukemia research (12 papers), Lymphoma Diagnosis and Treatment (11 papers) and Ubiquitin and proteasome pathways (10 papers). The work is most often cited by research in Cancer Research (2.0k citations), Genetics (836 citations), Oncology (2.0k citations), Immunology (1.6k citations) and Molecular Biology (4.4k citations). Dan Grandér has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Stefan Einhorn, Per Johnsson, Kevin V. Morris, Martin Corcoran, Olle Sangfelt, Theocharis Panaretakis, Katja Pokrovskaja Tamm, Leonard Lipovich, Mats Marshall Heyman and Sven Erickson. Their work appears in journals such as Blood, Experimental Cell Research, European Journal Of Haematology, Oncogene and Leukemia.
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.