T Witte

1.3k total citations
23 papers, 687 citations indexed

About

T Witte is a scholar working on Immunology, Molecular Biology and Rheumatology. According to data from OpenAlex, T Witte has authored 23 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Rheumatology. Recurrent topics in T Witte's work include T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (8 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). T Witte is often cited by papers focused on T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (8 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). T Witte collaborates with scholars based in Germany, United States and Sweden. T Witte's co-authors include Marta E. Alarcón‐Riquelme, Sandra D’Alfonso, Bernardo A. Pons‐Estel, R. E. Schmidt, Reinhold Schmidt, Matthias Tenbusch, Sergey V. Kozyrev, Bernard Lauwerys, Lennart Truedsson and Johan Frostegård and has published in prestigious journals such as Journal of Molecular Biology, Annals of the Rheumatic Diseases and European Journal of Immunology.

In The Last Decade

T Witte

21 papers receiving 678 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
T Witte Germany 13 354 185 177 99 93 23 687
Fu-lin Tang China 15 385 1.1× 423 2.3× 161 0.9× 83 0.8× 71 0.8× 52 860
William A. Figgett Australia 11 442 1.2× 182 1.0× 135 0.8× 40 0.4× 61 0.7× 18 768
Susanna Brauner Sweden 14 505 1.4× 269 1.5× 253 1.4× 60 0.6× 169 1.8× 24 924
Yingni Li China 13 337 1.0× 199 1.1× 184 1.0× 112 1.1× 43 0.5× 34 637
Taiichiro Miyashita Japan 18 299 0.8× 310 1.7× 277 1.6× 58 0.6× 61 0.7× 50 845
Dres Damgaard Denmark 15 233 0.7× 217 1.2× 191 1.1× 91 0.9× 43 0.5× 25 586
Yasuo Nagafuchi Japan 18 391 1.1× 327 1.8× 173 1.0× 38 0.4× 43 0.5× 46 790
Jonas Carlsson Almlöf Sweden 12 195 0.6× 165 0.9× 329 1.9× 120 1.2× 108 1.2× 16 681
Amy M. Becker United States 15 488 1.4× 123 0.7× 296 1.7× 63 0.6× 32 0.3× 22 904
Erika Zilahi Hungary 13 130 0.4× 113 0.6× 184 1.0× 93 0.9× 71 0.8× 19 539

Countries citing papers authored by T Witte

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of T Witte

This figure shows the co-authorship network connecting the top 25 collaborators of T Witte. A scholar is included among the top collaborators of T Witte based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T Witte. T Witte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Hardenberg, Sandra von, et al.. (2025). A novel hemizygous nonsense variant in DOCK11 causes systemic inflammation and immunodeficiency. Clinical Immunology. 276. 110504–110504.
3.
Roesner, Lennart M., Stefan Floess, T Witte, et al.. (2015). Foxp3 + regulatory T cells are expanded in severe atopic dermatitis patients. Allergy. 70(12). 1656–1660. 44 indexed citations
4.
Tischer, Sabine, Constança Figueiredo, T Witte, et al.. (2014). Modulation of heme oxygenase-1 by metalloporphyrins increases anti-viral T cell responses. Clinical & Experimental Immunology. 179(2). 265–276. 12 indexed citations
5.
Baerlecken, N.T., Amelia K. Linnemann, Wolfgang L. Gross, et al.. (2012). Association of ferritin autoantibodies with giant cell arteritis/polymyalgia rheumatica. Annals of the Rheumatic Diseases. 71(6). 943–947. 67 indexed citations
6.
Löfgren, Sara Emelie, Johan Frostegård, Lennart Truedsson, et al.. (2012). Genetic association of miRNA-146a with systemic lupus erythematosus in Europeans through decreased expression of the gene. Genes and Immunity. 13(3). 268–274. 117 indexed citations
7.
Sánchez, Elena, Mercedes García-Bermúdez, J Jiménez-Alonso, et al.. (2012). Association study of IRAK-M and SIGIRR genes with SLE in a large European-descent population. Lupus. 21(11). 1166–1171. 11 indexed citations
8.
Delforge, Michel, Peter Späth, Srini V. Kaveri, et al.. (2012). Recommended indications for the administration of polyclonal immunoglobulin preparations.. PubMed. 66(5). 346–60. 2 indexed citations
9.
Plant, Darren, Edward Flynn, Hamdi Mbarek, et al.. (2010). Investigation of potential non-HLA rheumatoid arthritis susceptibility loci in a European cohort increases the evidence for nine markers. Annals of the Rheumatic Diseases. 69(8). 1548–1553. 68 indexed citations
10.
Tenbusch, Matthias, et al.. (2009). Association of immunoglobulin‐like transcript 6 deficiency with Sjögren's syndrome. Arthritis & Rheumatism. 60(10). 2923–2925. 40 indexed citations
11.
Yu, Xinhua, Stefan Wieczorek, André Franke, et al.. (2009). Association of UCP2 −866 G/A polymorphism with chronic inflammatory diseases. Genes and Immunity. 10(6). 601–605. 73 indexed citations
12.
Werwitzke, Sonja, Andreas Tiede, Reinhilde Jacobs, et al.. (2008). CD8α+βlow Effector T Cells in Systemic Lupus Erythematosus. Scandinavian Journal of Immunology. 67(5). 501–508. 4 indexed citations
13.
Werwitzke, Sonja, P. Sondermann, Kenji Kamino, et al.. (2007). Treatment of lupus-prone NZB/NZW F1 mice with recombinant soluble Fcγ receptor II (CD32). Annals of the Rheumatic Diseases. 67(2). 154–161. 40 indexed citations
14.
Ulbricht, Kai U., et al.. (2007). Association of common variable immunodeficiency with vitamin B6 deficiency. European Journal of Clinical Nutrition. 62(3). 332–335. 5 indexed citations
15.
Koch, Sandra, Jörg T. Epplen, Norbert Müller, et al.. (2005). Association of multiple sclerosis with ILT6 deficiency. Genes and Immunity. 6(5). 445–447. 41 indexed citations
16.
Werwitzke, Sonja, et al.. (2003). CD8β/CD28 expression defines functionally distinct populations of peripheral blood T lymphocytes. Clinical & Experimental Immunology. 133(3). 334–343. 17 indexed citations
17.
Witte, T, Matthias Tenbusch, H. H. Peter, et al.. (2000). IgA and IgG autoantibodies against alpha-fodrin as markers for Sjögren's syndrome. Systemic lupus erythematosus.. PubMed. 27(11). 2617–20. 44 indexed citations
18.
Witte, T, Alex Smolyar, R. Spoerl, et al.. (1997). Major histocompatibility complex recognition by immune receptors: Differences among T cell receptor versus antibody interactions with the VSV8/H‐2Kb complex. European Journal of Immunology. 27(1). 227–233. 8 indexed citations
19.
Smolyar, Alex, R. Spoerl, T Witte, et al.. (1997). Topology of T cell receptor-peptide/class I MHC interaction defined by charge reversal complementation and functional analysis. Journal of Molecular Biology. 271(2). 278–293. 36 indexed citations
20.
Witte, T, et al.. (1996). Autoantibody against a 58 kD molecule in a patient with neutropenia and NK cell deficiency. British Journal of Haematology. 92(3). 565–570.

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.

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