Lone Schejbel
Impact in
- Immunology top 5%
- Complement system in diseases
- Immunodeficiency and Autoimmune Disorders
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Hematology top 5%
- Blood groups and transfusion
- Platelet Disorders and Treatments
Papers in
- Immunology 26
- Complement system in diseases 12
- Immunodeficiency and Autoimmune Disorders 7
- T-cell and B-cell Immunology 4
- Hematology 14
- Blood groups and transfusion 5
- Acute Myeloid Leukemia Research 3
- Co-authors
- Peter Garred (16 shared papers)Hanne Vibeke Marquart (9 shared papers)Henrik Permin (3 shared papers)Torben Barington (3 shared papers)Arne Svejgaard (3 shared papers)Carsten Heilmann (5 shared papers)Vagn Andersen (2 shared papers)Pernille Andersen (2 shared papers)
In The Last Decade
Lone Schejbel
40 papers receiving 596 citations
Peers
Comparison fields: 5 of 65
- Immunology 454
- Hematology 165
- Nephrology 84
- Microbiology 51
- Transplantation 16
Countries citing papers authored by Lone Schejbel
This map shows the geographic impact of Lone Schejbel'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 Lone Schejbel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lone Schejbel more than expected).
Fields of papers citing papers by Lone Schejbel
This network shows the impact of papers produced by Lone Schejbel. 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 Lone Schejbel. The network helps show where Lone Schejbel may publish in the future.
Co-authors
The 25 scholars most cited alongside Lone Schejbel, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 103 | |
| 2 | 2011 | 74 | |
| 3 | 2004 | 63 | |
| 4 | 2012 | 47 | |
| 5 | 2009 | 43 | |
| 6 | 2011 | 22 | |
| 7 | 2013 | 22 | |
| 8 | 2015 | 21 | |
| 9 | 2007 | 21 | |
| 10 | 2009 | 21 | |
| 11 | 2004 | 20 | |
| 12 | 2013 | 16 | |
| 13 | 2005 | 15 | |
| 14 | 2021 | 10 | |
| 15 | 2011 | 10 | |
| 16 | Homozygosity for a novel mutation in the C1q C chain gene in a Turkish family with hereditary C1q deficiency. | 2010 | 10 |
| 17 | 2015 | 9 | |
| 18 | 2013 | 8 | |
| 19 | 2021 | 6 | |
| 20 | 2012 | 6 |
About Lone Schejbel
Lone Schejbel is a scholar working on Immunology, Hematology, Pathology and Forensic Medicine, Genetics and Oncology, having authored 43 papers that have together received 604 indexed citations. Recurring topics across this work include Complement system in diseases (12 papers), Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (7 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Cancer Genomics and Diagnostics (5 papers), Blood groups and transfusion (5 papers), T-cell and B-cell Immunology (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Immunology (454 citations), Hematology (165 citations), Nephrology (84 citations), Microbiology (51 citations) and Transplantation (16 citations). Lone Schejbel has collaborated with scholars based in Denmark, Sweden and Türkiye. Frequent co-authors include Peter Garred, Hanne Vibeke Marquart, Henrik Permin, Torben Barington, Arne Svejgaard, Carsten Heilmann, Vagn Andersen, Pernille Andersen, Knut Tore Lappegård and Tom Eirik Mollnes. Their work appears in journals such as Blood, Clinical Immunology, Molecular Diagnosis & Therapy, Molecular Immunology and European Journal Of Haematology.
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.