Dan Grandér
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 2%
- interferon and immune responses
Papers in
-
- Cell death mechanisms and regulation 12
- Oncology 52
- Cytokine Signaling Pathways and Interactions 24
- Cancer-related Molecular Pathways 19
- Co-authors
- Stefan Einhorn (38 shared papers)Per Johnsson (11 shared papers)Kevin V. Morris (4 shared papers)Martin Corcoran (21 shared papers)Olle Sangfelt (24 shared papers)Theocharis Panaretakis (13 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)British Journal of Haematology (4 papers)Oncogene (4 papers)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Dan Grandér
124 papers receiving 6.7k citations
Dan Grandér's Hit Papers
Peers
Comparison fields: 5 of 132
- Cancer Research 1.8k
- Immunology 1.4k
- Genetics 656
- Oncology 1.6k
- Molecular Biology 3.7k
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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evolutionary conservation of long non-coding RNAs; sequence, structure, function Hit paper breakdown → | 2013 | 562 |
| 2 | 2013 | 371 | |
| 3 | 2006 | 239 | |
| 4 | 2002 | 198 | |
| 5 | 2009 | 183 | |
| 6 | 2007 | 159 | |
| 7 | 2012 | 156 | |
| 8 | 2001 | 145 | |
| 9 | 2009 | 138 | |
| 10 | 2002 | 136 | |
| 11 | 1999 | 127 | |
| 12 | 1995 | 116 | |
| 13 | Induction of apoptosis and inhibition of cell growth are independent responses to interferon-alpha in hematopoietic cell lines. | 1997 | 113 |
| 14 | 1997 | 107 | |
| 15 | 2004 | 100 | |
| 16 | 2007 | 97 | |
| 17 | 2007 | 96 | |
| 18 | 1996 | 96 | |
| 19 | 2011 | 96 | |
| 20 | 2005 | 93 |
About Dan Grandér
Dan Grandér is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Genetics, having authored 126 papers that have together received 6.8k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (24 papers), Chronic Lymphocytic Leukemia Research (22 papers), Cancer-related Molecular Pathways (19 papers), interferon and immune responses (16 papers), Cell death mechanisms and regulation (12 papers), Acute Lymphoblastic Leukemia research (11 papers), Multiple Myeloma Research and Treatments (9 papers) and Cancer-related molecular mechanisms research (9 papers). The work is most often cited by research in Cancer Research (1.8k citations), Immunology (1.4k citations), Genetics (656 citations), Oncology (1.6k citations) and Molecular Biology (3.7k 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 Heyman and Sven Erickson. Their work appears in journals such as Blood, Experimental Cell Research, European Journal Of Haematology, British Journal of Haematology and Oncogene.
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.