Georg Wittkowsky

543 total citations
4 papers, 400 citations indexed

About

Georg Wittkowsky is a scholar working on Hematology, Immunology and Transplantation. According to data from OpenAlex, Georg Wittkowsky has authored 4 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Immunology and 1 paper in Transplantation. Recurrent topics in Georg Wittkowsky's work include Hematopoietic Stem Cell Transplantation (4 papers), Multiple Myeloma Research and Treatments (4 papers) and Immunotherapy and Immune Responses (2 papers). Georg Wittkowsky is often cited by papers focused on Hematopoietic Stem Cell Transplantation (4 papers), Multiple Myeloma Research and Treatments (4 papers) and Immunotherapy and Immune Responses (2 papers). Georg Wittkowsky collaborates with scholars based in Germany and Israel. Georg Wittkowsky's co-authors include Tatjana Zabelina, Axel R. Zander, Nicolaus Kröger, Helmut Renges, Herbert G. Sayer, Boris Fehse, Michael Kiehl, Rainer Schwerdtfeger, R. Kuse and Florian Tögel and has published in prestigious journals such as Blood, British Journal of Haematology and Bone Marrow Transplantation.

In The Last Decade

Georg Wittkowsky

4 papers receiving 392 citations

Peers

Georg Wittkowsky
Todd Milliron United States
Laurence Pearce United Kingdom
Louis Williams United States
B. Dharan Canada
Todd Milliron United States
Georg Wittkowsky
Citations per year, relative to Georg Wittkowsky Georg Wittkowsky (= 1×) peers Todd Milliron

Countries citing papers authored by Georg Wittkowsky

Since Specialization
Citations

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

Fields of papers citing papers by Georg Wittkowsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Wittkowsky

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Wittkowsky. A scholar is included among the top collaborators of Georg Wittkowsky 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 Georg Wittkowsky. Georg Wittkowsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
2.
Kröger, Nicolaus, Rainer Schwerdtfeger, Michael Kiehl, et al.. (2002). Autologous stem cell transplantation followed by a dose-reduced allograft induces high complete remission rate in multiple myeloma. Blood. 100(3). 755–760. 188 indexed citations
4.
Kröger, Nicolaus, William Krüger, Helmut Renges, et al.. (2001). Donor lymphocyte infusion enhances remission status in patients with persistent disease after allografting for multiple myeloma. British Journal of Haematology. 112(2). 421–423. 30 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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