Johan Richter
Impact in
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
- Virus-based gene therapy research
Papers in
- Hematology 62
- Chronic Myeloid Leukemia Treatments 55
-
- Bone Metabolism and Diseases 18
- RNA Interference and Gene Delivery 10
- Co-authors
- Stefan Karlsson (13 shared papers)Tommy Andersson (3 shared papers)Susanne Saußele (10 shared papers)Andreas Hochhaus (9 shared papers)Inge Olsson (5 shared papers)Henrik Hjorth‐Hansen (27 shared papers)Thoas Fioretos (17 shared papers)Mats Ehinger (11 shared papers)
In The Last Decade
Johan Richter
135 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 128
- Hematology 1.7k
- Genetics 969
- Immunology and Allergy 233
- Rheumatology 562
- Immunology 710
Countries citing papers authored by Johan Richter
This map shows the geographic impact of Johan Richter'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 Richter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Richter more than expected).
Fields of papers citing papers by Johan Richter
This network shows the impact of papers produced by Johan Richter. 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 Richter. The network helps show where Johan Richter may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan Richter, 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 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 239 | |
| 2 | 2016 | 176 | |
| 3 | 1990 | 151 | |
| 4 | 2007 | 149 | |
| 5 | 2011 | 148 | |
| 6 | 2010 | 136 | |
| 7 | 1989 | 113 | |
| 8 | 2011 | 108 | |
| 9 | 2004 | 105 | |
| 10 | 2017 | 96 | |
| 11 | 2013 | 95 | |
| 12 | 2006 | 95 | |
| 13 | 2015 | 89 | |
| 14 | 2013 | 83 | |
| 15 | 2016 | 70 | |
| 16 | 2002 | 70 | |
| 17 | 2016 | 70 | |
| 18 | 2011 | 68 | |
| 19 | 2016 | 68 | |
| 20 | 2015 | 57 |
About Johan Richter
Johan Richter is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Rheumatology, having authored 143 papers that have together received 4.2k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (55 papers), Chronic Lymphocytic Leukemia Research (34 papers), Eosinophilic Disorders and Syndromes (22 papers), Bone Metabolism and Diseases (18 papers), Virus-based gene therapy research (15 papers), RNA Interference and Gene Delivery (10 papers), Cell Adhesion Molecules Research (8 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers). The work is most often cited by research in Hematology (1.7k citations), Genetics (969 citations), Immunology and Allergy (233 citations), Rheumatology (562 citations) and Immunology (710 citations). Johan Richter has collaborated with scholars based in Sweden, Germany and Finland. Frequent co-authors include Stefan Karlsson, Tommy Andersson, Susanne Saußele, Andreas Hochhaus, Inge Olsson, Henrik Hjorth‐Hansen, Thoas Fioretos, Mats Ehinger, Maria Askmyr and Leif Stenke. Their work appears in journals such as Blood, European Journal Of Haematology, Leukemia, Experimental Hematology and Proceedings of the National Academy of Sciences.
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.