G. Wittmann

3.5k total citations · 1 hit paper
134 papers, 2.5k citations indexed

About

G. Wittmann is a scholar working on Agronomy and Crop Science, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, G. Wittmann has authored 134 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Agronomy and Crop Science, 29 papers in Epidemiology and 26 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in G. Wittmann's work include Animal Disease Management and Epidemiology (44 papers), Viral Infections and Immunology Research (26 papers) and Herpesvirus Infections and Treatments (25 papers). G. Wittmann is often cited by papers focused on Animal Disease Management and Epidemiology (44 papers), Viral Infections and Immunology Research (26 papers) and Herpesvirus Infections and Treatments (25 papers). G. Wittmann collaborates with scholars based in Germany, United States and France. G. Wittmann's co-authors include H.‐J. Rziha, R. M. Macfarlane, K. Bauer, Marion Subklewe, Florian Hoß, Raymund Buhmann, Francesca Pinci, Jonathan L. Schmid‐Burgk, Dhruv Chauhan and Eicke Latz and has published in prestigious journals such as Science, Cell and Physical Review Letters.

In The Last Decade

G. Wittmann

108 papers receiving 2.3k citations

Hit Papers

The DNA Inflammasome in Human Myeloid Cells Is Initiated ... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Wittmann Germany 26 720 640 602 347 266 134 2.5k
Christopher Krause United States 22 563 0.8× 1.2k 1.9× 2.3k 3.9× 128 0.4× 86 0.3× 43 4.3k
Ángel Zaballos Spain 37 496 0.7× 2.1k 3.2× 1.6k 2.6× 153 0.4× 53 0.2× 79 5.0k
Tomomasa Watanabe Japan 28 299 0.4× 1.2k 1.8× 587 1.0× 88 0.3× 258 1.0× 129 2.7k
Andreas Gebert Germany 32 326 0.5× 836 1.3× 1.1k 1.8× 42 0.1× 48 0.2× 86 3.3k
Ivan M. Roitt United Kingdom 26 474 0.7× 870 1.4× 1.2k 1.9× 69 0.2× 49 0.2× 76 3.2k
Søren Hansen Denmark 32 378 0.5× 672 1.1× 2.0k 3.4× 275 0.8× 18 0.1× 94 3.7k
Georg Wolf Germany 26 179 0.2× 664 1.0× 145 0.2× 105 0.3× 305 1.1× 85 2.0k
Yutong Song China 19 254 0.4× 1.1k 1.7× 328 0.5× 164 0.5× 51 0.2× 50 2.8k
Robert Binder United States 27 627 0.9× 3.2k 5.0× 3.0k 4.9× 187 0.5× 39 0.1× 68 5.4k
Tania H. Watts Canada 55 851 1.2× 2.2k 3.5× 6.9k 11.4× 128 0.4× 81 0.3× 146 9.6k

Countries citing papers authored by G. Wittmann

Since Specialization
Citations

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

Fields of papers citing papers by G. Wittmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Wittmann. 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 G. Wittmann. The network helps show where G. Wittmann may publish in the future.

Co-authorship network of co-authors of G. Wittmann

This figure shows the co-authorship network connecting the top 25 collaborators of G. Wittmann. A scholar is included among the top collaborators of G. Wittmann 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 G. Wittmann. G. Wittmann 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.
Berger, Karin, et al.. (2022). Transparency on Platelet Transfusion in Routine Cancer Care: The Key for Optimal Blood Usage?. Oncology Research and Treatment. 45(6). 336–343.
2.
Schölz, Christian, Stephanie Schneider, Maximilian Münchhoff, et al.. (2020). SERINC5 Is an Unconventional HIV Restriction Factor That Is Upregulated during Myeloid Cell Differentiation. Journal of Innate Immunity. 12(5). 399–409. 18 indexed citations
3.
Mussack, Veronika, G. Wittmann, & Michael W. Pfaffl. (2019). Comparing small urinary extracellular vesicle purification methods with a view to RNA sequencing—Enabling robust and non-invasive biomarker research. SHILAP Revista de lepidopterología. 17. 100089–100089. 47 indexed citations
4.
Gaidt, Moritz M., Thomas S. Ebert, Dhruv Chauhan, et al.. (2017). The DNA Inflammasome in Human Myeloid Cells Is Initiated by a STING-Cell Death Program Upstream of NLRP3. Cell. 171(5). 1110–1124.e18. 475 indexed citations breakdown →
5.
Wittmann, G., et al.. (2017). Novelle der Hämotherapierichtlinien 2017. Der Anaesthesist. 67(1). 56–60. 4 indexed citations
6.
Wittmann, G., et al.. (2012). Coding of Tissue Preparations with Eurocode in Germany. Transfusion Medicine and Hemotherapy. 39(6). 409–415. 3 indexed citations
8.
Daebritz, Sabine, Michael Schmoeckel, Helmut Mair, et al.. (2007). Blood type incompatible cardiac transplantation in young infants☆. European Journal of Cardio-Thoracic Surgery. 31(3). 339–343. 21 indexed citations
9.
Schmoeckel, Michael, S Däbritz, Rainer Kozlik‐Feldmann, et al.. (2005). Successful ABO-incompatible heart transplantation in two infants. Transplant International. 18(10). 1210–1214. 21 indexed citations
10.
Zimmermann, R., G. Wittmann, J. Zingsem, et al.. (1999). Antibodies to private and public HLA class I epitopes in platelet recipients. Transfusion. 39(7). 772–780. 10 indexed citations
11.
Rick, Oliver, Hans‐Gert Heuft, G. Wittmann, et al.. (1997). Preparation of autologous bone marrow grafts for cryopreservation using the AS104 cell separator. Journal of Clinical Apheresis. 12(4). 179–182. 4 indexed citations
12.
Kroll, Hartmut, et al.. (1996). Diclofenac‐induced immune haemolytic anaemia: simultaneous occurrence of red blood cell autoantibodies and drug‐dependent antibodies. British Journal of Haematology. 95(4). 640–644. 40 indexed citations
13.
Wallwiener, D., G. Wittmann, B. Aydeniz, S. Rimbach, & G. Bastert. (1995). Komplikationen. Operative endoskopie versus MIC GYN. Archives of Gynecology and Obstetrics. 256(S1). S21–S31. 2 indexed citations
14.
Wittmann, G., et al.. (1994). Identification of Antibodies toward Private and Public Class I HLA Epitopes in Sensitized Patients. Transfusion Medicine and Hemotherapy. 21(5). 327–332. 3 indexed citations
16.
Wittmann, G., I. Gerhard, & B. Runnebaum. (1993). Wirksamkeit eines Arzneimittels auf Basis pfanzlicher Extrakte Mastodynon-NR bei weiblicher Infertilität. Archives of Gynecology and Obstetrics. 254(1-4). 158–160. 2 indexed citations
17.
Wittmann, G.. (1991). Spread and control of aujeszky's disease (AD). Comparative Immunology Microbiology and Infectious Diseases. 14(2). 165–173. 38 indexed citations
18.
Wittmann, G.. (1980). Separation of porcine blood cells by means of "Ficoll-paque".. Journal of Veterinary Medicine Series B. 253–256. 1 indexed citations
19.
Wittmann, G., Bernhard Dietzschold, & K. Bauer. (1975). Some investigations on the adjuvant mechanism of DEAE dextran. Archives of Virology. 47(3). 225–235. 15 indexed citations
20.
Wittmann, G.. (1972). Versuche zur Revakzinierung von Schweinen mit einer äthyläthylenimin (EEI)/DEAE‐Dextran‐Vakzine gegen Maul‐ und Klauenseuche (MKS) vom Subtyp 01*. Zentralblatt für Veterinärmedizin Reihe B. 19(1). 45–54. 5 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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