U. Rehwald

21 total papers · 503 total citations
11 papers, 304 citations indexed

About

U. Rehwald is a scholar working on Genetics, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, U. Rehwald has authored 11 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 6 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in U. Rehwald's work include Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Viral-associated cancers and disorders (3 papers). U. Rehwald is often cited by papers focused on Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Viral-associated cancers and disorders (3 papers). U. Rehwald collaborates with scholars based in Germany and France. U. Rehwald's co-authors include Volker Diehl, Franck Morschhauser, Christoph Driessen, Thomas Rüdiger, H. Schulz, Andreas Engert, Marcel Reiser, Bernd Salzberger, Caspar Franzen and Pia Hartmann and has published in prestigious journals such as Blood, Annals of Oncology and Expert Review of Anticancer Therapy.

In The Last Decade

U. Rehwald

9 papers receiving 296 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
U. Rehwald 259 211 111 86 44 11 304
Gottfried Doelken 178 0.7× 174 0.8× 77 0.7× 67 0.8× 55 1.3× 15 295
Annalisa Gabriele 256 1.0× 113 0.5× 87 0.8× 88 1.0× 58 1.3× 12 315
Mohammed Al‐Hamadani 177 0.7× 170 0.8× 49 0.4× 77 0.9× 24 0.5× 10 300
Maya Hacini 282 1.1× 188 0.9× 80 0.7× 113 1.3× 31 0.7× 15 354
F. Fiedler 238 0.9× 188 0.9× 85 0.8× 118 1.4× 64 1.5× 11 339
Krishnaswamy Madhavan 189 0.7× 167 0.8× 110 1.0× 34 0.4× 32 0.7× 13 274
Gianpaolo Marcacci 192 0.7× 115 0.5× 71 0.6× 129 1.5× 32 0.7× 17 313
Lilj Uziel 248 1.0× 134 0.6× 130 1.2× 143 1.7× 34 0.8× 12 355
Soon-Thye Lim 236 0.9× 194 0.9× 59 0.5× 64 0.7× 15 0.3× 8 279
Michaela Rancea 234 0.9× 143 0.7× 91 0.8× 73 0.8× 78 1.8× 11 300

Countries citing papers authored by U. Rehwald

Since Specialization
Citations

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

Fields of papers citing papers by U. Rehwald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U. Rehwald

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

All Works

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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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