Eva Kimby
Impact in
- Genetics top 0.05%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 0.05%
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 143
- Genetics 111
- Chronic Lymphocytic Leukemia Research 110
- Co-authors
- Birger Christensson (22 shared papers)Birgitta Sander (29 shared papers)Håkan Mellstedt (20 shared papers)Björn E. Wahlin (22 shared papers)Anders Österborg (12 shared papers)Steven P. Treon (17 shared papers)Harald Holte (16 shared papers)Jeanette Lundin (11 shared papers)
- Journals
- Blood (37 papers)British Journal of Haematology (12 papers)Journal of Clinical Oncology (11 papers)European Journal Of Haematology (9 papers)Acta Oncologica (8 papers)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Eva Kimby
198 papers receiving 7.6k citations
Peers
Comparison fields: 5 of 113
- Genetics 3.7k
- Pathology and Forensic Medicine 4.4k
- Immunology 2.2k
- Hematology 1.0k
- Oncology 2.2k
Countries citing papers authored by Eva Kimby
This map shows the geographic impact of Eva Kimby'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 Eva Kimby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Kimby more than expected).
Fields of papers citing papers by Eva Kimby
This network shows the impact of papers produced by Eva Kimby. 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 Eva Kimby. The network helps show where Eva Kimby may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Kimby, 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 203 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 432 | |
| 2 | 2002 | 377 | |
| 3 | 2005 | 376 | |
| 4 | 2006 | 240 | |
| 5 | 2010 | 226 | |
| 6 | 2005 | 185 | |
| 7 | 2004 | 139 | |
| 8 | 2010 | 132 | |
| 9 | 2004 | 131 | |
| 10 | 2008 | 129 | |
| 11 | 2014 | 127 | |
| 12 | 2009 | 122 | |
| 13 | 2016 | 122 | |
| 14 | 2007 | 118 | |
| 15 | 2012 | 114 | |
| 16 | 2001 | 113 | |
| 17 | 2008 | 103 | |
| 18 | 2004 | 99 | |
| 19 | 2014 | 97 | |
| 20 | 2015 | 94 |
About Eva Kimby
Eva Kimby is a scholar working on Pathology and Forensic Medicine, Genetics, Immunology, Oncology and Hematology, having authored 203 papers that have together received 7.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (143 papers), Chronic Lymphocytic Leukemia Research (110 papers), Immunodeficiency and Autoimmune Disorders (42 papers), Viral-associated cancers and disorders (30 papers), Immune Cell Function and Interaction (16 papers), CNS Lymphoma Diagnosis and Treatment (13 papers), CAR-T cell therapy research (11 papers) and Chronic Myeloid Leukemia Treatments (10 papers). The work is most often cited by research in Genetics (3.7k citations), Pathology and Forensic Medicine (4.4k citations), Immunology (2.2k citations), Hematology (1.0k citations) and Oncology (2.2k citations). Eva Kimby has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Birger Christensson, Birgitta Sander, Håkan Mellstedt, Björn E. Wahlin, Anders Österborg, Steven P. Treon, Harald Holte, Jeanette Lundin, Magnus Björkholm and Robert Marcus. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, European Journal Of Haematology and Acta Oncologica.
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.