Andrea C. Eitelhuber

15 total papers · 1.1k total citations
12 papers, 850 citations indexed

About

Andrea C. Eitelhuber is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Andrea C. Eitelhuber has authored 12 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Immunology. Recurrent topics in Andrea C. Eitelhuber's work include NF-κB Signaling Pathways (5 papers), Lymphoma Diagnosis and Treatment (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Andrea C. Eitelhuber is often cited by papers focused on NF-κB Signaling Pathways (5 papers), Lymphoma Diagnosis and Treatment (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Andrea C. Eitelhuber collaborates with scholars based in Germany, Japan and United States. Andrea C. Eitelhuber's co-authors include Daniel Krappmann, Michael A. Rieger, Philipp S. Hoppe, Timm Schroeder, Daniel Nagel, Michelle Vincendeau, Ralf Marienfeld, Cornelia Brunner, Jürgen Ruland and Vigo Heissmeyer and has published in prestigious journals such as Science, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Andrea C. Eitelhuber

12 papers receiving 839 citations

Author Peers

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

Author Last Decade Papers Cites
Andrea C. Eitelhuber 459 393 247 184 110 12 850
Sandrine Guérin 467 1.0× 257 0.7× 102 0.4× 185 1.0× 93 0.8× 16 817
Nader Omidvar 487 1.1× 290 0.7× 118 0.5× 219 1.2× 190 1.7× 18 944
John F. MacMaster 411 0.9× 378 1.0× 290 1.2× 297 1.6× 58 0.5× 13 991
Hans‐Ingo Trompeter 529 1.2× 343 0.9× 299 1.2× 130 0.7× 70 0.6× 18 946
Jason Walker 466 1.0× 301 0.8× 145 0.6× 167 0.9× 86 0.8× 21 930
Ami Tamir 406 0.9× 291 0.7× 132 0.5× 184 1.0× 45 0.4× 19 799
Marta Sánchez-Martín 552 1.2× 162 0.4× 177 0.7× 222 1.2× 238 2.2× 15 953
Federica Falà 505 1.1× 231 0.6× 82 0.3× 259 1.4× 99 0.9× 18 829
Tetsuharu Shinjyo 453 1.0× 157 0.4× 88 0.4× 181 1.0× 131 1.2× 13 703
R Yabkowitz 574 1.3× 246 0.6× 352 1.4× 152 0.8× 64 0.6× 12 880

Countries citing papers authored by Andrea C. Eitelhuber

Since Specialization
Citations

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

Fields of papers citing papers by Andrea C. Eitelhuber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrea C. Eitelhuber. 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 Andrea C. Eitelhuber. The network helps show where Andrea C. Eitelhuber may publish in the future.

Co-authorship network of co-authors of Andrea C. Eitelhuber

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea C. Eitelhuber. A scholar is included among the top collaborators of Andrea C. Eitelhuber 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 Andrea C. Eitelhuber. Andrea C. Eitelhuber 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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