Klaus‐Dieter Preuss

1.7k total citations
50 papers, 954 citations indexed

About

Klaus‐Dieter Preuss is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Klaus‐Dieter Preuss has authored 50 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 18 papers in Molecular Biology and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Klaus‐Dieter Preuss's work include Monoclonal and Polyclonal Antibodies Research (18 papers), Lymphoma Diagnosis and Treatment (15 papers) and Chronic Lymphocytic Leukemia Research (12 papers). Klaus‐Dieter Preuss is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (18 papers), Lymphoma Diagnosis and Treatment (15 papers) and Chronic Lymphocytic Leukemia Research (12 papers). Klaus‐Dieter Preuss collaborates with scholars based in Germany, United States and France. Klaus‐Dieter Preuss's co-authors include Michael Pfreundschuh, Evi Regitz, Natalie Fadle, Frank Neumann, Carsten Zwick, Boris Kubuschok, Lorenz Thurner, Manfred Ahlgrimm, Bernd Romeike and Sandra Graß and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Klaus‐Dieter Preuss

47 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klaus‐Dieter Preuss Germany 20 414 401 173 167 161 50 954
H. Nida Sen United States 17 239 0.6× 429 1.1× 167 1.0× 122 0.7× 257 1.6× 40 1.3k
Beren H. Tomooka United States 15 410 1.0× 556 1.4× 454 2.6× 141 0.8× 139 0.9× 17 1.4k
Jodi L. Karnell United States 17 789 1.9× 279 0.7× 133 0.8× 158 0.9× 239 1.5× 22 1.4k
Shigenori Harada Japan 13 377 0.9× 301 0.8× 107 0.6× 172 1.0× 242 1.5× 26 1.1k
Remedios Nazareno United States 13 492 1.2× 428 1.1× 113 0.7× 87 0.5× 104 0.6× 14 1.3k
Brittany A. Goods United States 14 643 1.6× 416 1.0× 80 0.5× 138 0.8× 237 1.5× 27 1.4k
Purnima Sundar United States 14 668 1.6× 490 1.2× 471 2.7× 247 1.5× 221 1.4× 15 1.2k
Jianya Huan United States 16 904 2.2× 591 1.5× 71 0.4× 230 1.4× 202 1.3× 25 1.6k
Kunihiko Yamaki Japan 24 313 0.8× 541 1.3× 153 0.9× 72 0.4× 49 0.3× 57 1.6k
Iris Ferber United States 8 1.2k 2.9× 463 1.2× 109 0.6× 258 1.5× 380 2.4× 8 1.9k

Countries citing papers authored by Klaus‐Dieter Preuss

Since Specialization
Citations

This map shows the geographic impact of Klaus‐Dieter Preuss'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 Klaus‐Dieter Preuss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus‐Dieter Preuss more than expected).

Fields of papers citing papers by Klaus‐Dieter Preuss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Klaus‐Dieter Preuss. 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 Klaus‐Dieter Preuss. The network helps show where Klaus‐Dieter Preuss may publish in the future.

Co-authorship network of co-authors of Klaus‐Dieter Preuss

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus‐Dieter Preuss. A scholar is included among the top collaborators of Klaus‐Dieter Preuss 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 Klaus‐Dieter Preuss. Klaus‐Dieter Preuss 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.
Fadle, Natalie, Evi Regitz, Igor Age Kos, et al.. (2024). Autoantibody mediated deficiency of IL-36-receptor antagonist in a subset of patients with psoriasis and psoriatic arthritis. Immunology Letters. 270. 106926–106926. 2 indexed citations
2.
Thurner, Lorenz, Natalie Fadle, Joerg Thomas Bittenbring, et al.. (2021). LRPAP1 autoantibodies in mantle cell lymphoma are associated with superior outcome. Blood. 137(23). 3251–3258. 7 indexed citations
3.
Bewarder, Moritz, Stephan Stilgenbauer, Konstantinos Christofyllakis, et al.. (2020). Integration of the B-Cell Receptor Antigen Neurabin-I/SAMD14 Into an Antibody Format as New Therapeutic Approach for the Treatment of Primary CNS Lymphoma. Frontiers in Oncology. 10. 580364–580364. 5 indexed citations
4.
Bewarder, Moritz, Gerhard Held, Lorenz Thurner, et al.. (2020). Characterization of an HLA-restricted and human cytomegalovirus-specific antibody repertoire with therapeutic potential. Cancer Immunology Immunotherapy. 69(8). 1535–1548. 4 indexed citations
5.
Klemm, Philipp, G. Aßmann, Klaus‐Dieter Preuss, et al.. (2019). Progranulin autoantibodies in systemic sclerosis and autoimmune connective tissue disorders: A preliminary study. Immunity Inflammation and Disease. 7(4). 271–275. 7 indexed citations
6.
Thurner, Lorenz, Sylvia Hartmann, Natalie Fadle, et al.. (2018). LRPAP1 is a frequent proliferation-inducing antigen of BCRs of mantle cell lymphomas and can be used for specific therapeutic targeting. Leukemia. 33(1). 148–158. 17 indexed citations
7.
Thurner, Lorenz, Natalie Fadle, Evi Regitz, et al.. (2015). The molecular basis for development of proinflammatory autoantibodies to progranulin. Journal of Autoimmunity. 61. 17–28. 16 indexed citations
8.
Thurner, Lorenz, Natalie Fadle, Philipp Klemm, et al.. (2014). Proinflammatory Progranulin Antibodies in Inflammatory Bowel Diseases. Digestive Diseases and Sciences. 59(8). 1733–1742. 37 indexed citations
9.
Zwick, Carsten, Natalie Fadle, Evi Regitz, et al.. (2013). Autoantigenic targets of B-cell receptors derived from chronic lymphocytic leukemias bind to and induce proliferation of leukemic cells. Blood. 121(23). 4708–4717. 31 indexed citations
10.
Thurner, Lorenz, Klaus‐Dieter Preuss, Natalie Fadle, et al.. (2012). Progranulin antibodies in autoimmune diseases. Journal of Autoimmunity. 42. 29–38. 55 indexed citations
11.
Ahlgrimm, Manfred, Michael Pfreundschuh, Markus Kreuz, et al.. (2011). The impact of Fc-γ receptor polymorphisms in elderly patients with diffuse large B-cell lymphoma treated with CHOP with or without rituximab. Blood. 118(17). 4657–4662. 48 indexed citations
12.
13.
Neumann, Frank, Boris Kubuschok, Kubilay Ertan, et al.. (2011). A peptide epitope derived from the cancer testis antigen HOM-MEL-40/SSX2 capable of inducing CD4+ and CD8+ T-cell as well as B-cell responses. Cancer Immunology Immunotherapy. 60(9). 1333–1346. 12 indexed citations
14.
15.
Preuss, Klaus‐Dieter, Joachim Schenk, Wolfgang Füreder, et al.. (2010). Desmoplakin and KIF20B as target antigens in patients with paroxysmal nocturnal haemoglobinuria. British Journal of Haematology. 151(3). 273–280. 6 indexed citations
16.
Zwick, Carsten, Gerhard Held, Boris Kubuschok, et al.. (2009). Spontaneous high-titered IgG antibody responses against BCL-2 in patients with aggressive lymphomas. Journal of Cancer Research and Clinical Oncology. 135(9). 1207–1213. 2 indexed citations
17.
18.
Pföhler, Claudia, Klaus‐Dieter Preuss, Wolfgang Tilgen, et al.. (2006). Mitofilin and titin as target antigens in melanoma‐associated retinopathy. International Journal of Cancer. 120(4). 788–795. 22 indexed citations
19.
Mischo, Axel, Boris Kubuschok, Kubilay Ertan, et al.. (2005). Prospective study on the expression of cancer testis genes and antibody responses in 100 consecutive patients with primary breast cancer. International Journal of Cancer. 118(3). 696–703. 71 indexed citations
20.
Preuss, Klaus‐Dieter, et al.. (2002). Analysis of the antibody repertoire of lymphoma patients. Cancer Immunology Immunotherapy. 51(11-12). 655–662. 33 indexed citations

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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