T Witte
- Immunology top 10%
- T-cell and B-cell Immunology 10
- Immune Cell Function and Interaction 8
- Immunodeficiency and Autoimmune Disorders 5
- IL-33, ST2, and ILC Pathways 2
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research 3
- Immunology and Allergy top 10%
- Dermatology top 10%
-
- Monoclonal and Polyclonal Antibodies Research 4
-
- Chronic Lymphocytic Leukemia Research 2
- Blood disorders and treatments 2
- Co-authors
- Marta E. Alarcón‐RiquelmeSandra D’AlfonsoBernardo A. Pons‐EstelLennart TruedssonJörg T. EpplenBernard LauwerysSergey V. KozyrevReinhold Schmidt
- Journals
- Clinical & Experimental Immunology (4 papers)Annals of the Rheumatic Diseases (3 papers)Genes and Immunity (3 papers)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
T Witte
21 papers receiving 678 citations
Peers
Comparison fields: 5 of 77
- Immunology 354
- Rheumatology 185
- Immunology and Allergy 44
- Cancer Research 99
- Dermatology 42
Countries citing papers authored by T Witte
This map shows the geographic impact of T Witte'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 T Witte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Witte more than expected).
Fields of papers citing papers by T Witte
This network shows the impact of papers produced by T Witte. 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 T Witte. The network helps show where T Witte may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T Witte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2015 | 44 | |
| 4 | 2014 | 12 | |
| 5 | 2012 | 67 | |
| 6 | 2012 | 117 | |
| 7 | 2012 | 2 | |
| 8 | 2010 | 68 | |
| 9 | 2010 | 12 | |
| 10 | 2009 | 40 | |
| 11 | 2009 | 73 | |
| 12 | 2008 | 4 | |
| 13 | 2007 | 40 | |
| 14 | 2007 | 5 | |
| 15 | 2005 | 41 | |
| 16 | 2003 | 17 | |
| 17 | IgA and IgG autoantibodies against alpha-fodrin as markers for Sjögren's syndrome. Systemic lupus erythematosus. | 2000 | 44 |
| 18 | 1997 | 36 | |
| 19 | 1997 | 8 | |
| 20 | 1996 | 0 |
About T Witte
T Witte is a scholar working on Immunology, Genetics and Rheumatology, having authored 23 papers that have together received 687 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (8 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Systemic Lupus Erythematosus Research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Blood disorders and treatments (2 papers). The work is most often cited by research in Immunology (354 citations), Rheumatology (185 citations) and Immunology and Allergy (44 citations). T Witte has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Marta E. Alarcón‐Riquelme, Sandra D’Alfonso, Bernardo A. Pons‐Estel, Lennart Truedsson, Jörg T. Epplen, Bernard Lauwerys, Sergey V. Kozyrev, Reinhold Schmidt, Berta Martins da Silva and Sara Emelie Löfgren. Their work appears in journals such as Clinical & Experimental Immunology, Annals of the Rheumatic Diseases, Genes and Immunity, Scandinavian Journal of Immunology and British 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.