Johan Flygare
Impact in
- Hematology top 5%
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 35
- Cancer-related gene regulation 16
- RNA Research and Splicing 8
- Epigenetics and DNA Methylation 5
- Physiology 14
- Erythrocyte Function and Pathophysiology 14
- Co-authors
- Harvey F. Lodish (9 shared papers)Lingbo Zhang (3 shared papers)Piu Wong (2 shared papers)Stefan Karlsson (20 shared papers)Shilpa M. Hattangadi (1 shared paper)Bingbing Yuan (1 shared paper)Wenqian Hu (1 shared paper)Karin Olsson (8 shared papers)
- Journals
- Blood (15 papers)Experimental Hematology (5 papers)Molecular Therapy (3 papers)Haematologica (3 papers)Genes & Development (2 papers)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Johan Flygare
48 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 100
- Hematology 285
- Cancer Research 353
- Genetics 229
- Physiology 458
- Molecular Biology 1.3k
Countries citing papers authored by Johan Flygare
This map shows the geographic impact of Johan Flygare'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 Johan Flygare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Flygare more than expected).
Fields of papers citing papers by Johan Flygare
This network shows the impact of papers produced by Johan Flygare. 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 Johan Flygare. The network helps show where Johan Flygare may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan Flygare, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 353 | |
| 2 | 2011 | 206 | |
| 3 | 2006 | 149 | |
| 4 | 2010 | 132 | |
| 5 | 2011 | 112 | |
| 6 | 2010 | 101 | |
| 7 | 2004 | 96 | |
| 8 | 2013 | 90 | |
| 9 | 2012 | 68 | |
| 10 | From stem cell to erythroblast: Regulation of red cell production at multiple levels by multiple hormones | 2010 | 66 |
| 11 | 2007 | 53 | |
| 12 | 2003 | 43 | |
| 13 | 2005 | 43 | |
| 14 | 2016 | 38 | |
| 15 | 2015 | 35 | |
| 16 | 2008 | 35 | |
| 17 | 2020 | 29 | |
| 18 | 2013 | 29 | |
| 19 | 2006 | 28 | |
| 20 | 2014 | 28 |
About Johan Flygare
Johan Flygare is a scholar working on Molecular Biology, Physiology, Surgery, Cancer Research and Hematology, having authored 50 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (35 papers), Cancer-related gene regulation (16 papers), Erythrocyte Function and Pathophysiology (14 papers), RNA Research and Splicing (8 papers), Cancer-related molecular mechanisms research (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Epigenetics and DNA Methylation (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Hematology (285 citations), Cancer Research (353 citations), Genetics (229 citations), Physiology (458 citations) and Molecular Biology (1.3k citations). Johan Flygare has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Harvey F. Lodish, Lingbo Zhang, Piu Wong, Stefan Karlsson, Shilpa M. Hattangadi, Bingbing Yuan, Wenqian Hu, Karin Olsson, Johan Richter and Song Chou. Their work appears in journals such as Blood, Experimental Hematology, Molecular Therapy, Haematologica and Genes & Development.
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.