Claudia Gerhartz

11 total papers · 1.0k total citations
11 papers, 883 citations indexed

About

Claudia Gerhartz is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Claudia Gerhartz has authored 11 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Immunology. Recurrent topics in Claudia Gerhartz's work include Cytokine Signaling Pathways and Interactions (10 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and HER2/EGFR in Cancer Research (4 papers). Claudia Gerhartz is often cited by papers focused on Cytokine Signaling Pathways and Interactions (10 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and HER2/EGFR in Cancer Research (4 papers). Claudia Gerhartz collaborates with scholars based in Germany, Japan and United States. Claudia Gerhartz's co-authors include Peter C. Heinrich, Lutz Graeve, Friedemann Horn, Ulrike Hemmann, Jürgen Sasse, Jens Schneider‐Mergener, Elke Dittrich, Stefan Rose‐John, Christiane Landgraf and Axel Wollmer and has published in prestigious journals such as Journal of Biological Chemistry, FEBS Letters and Annals of the New York Academy of Sciences.

In The Last Decade

Claudia Gerhartz

11 papers receiving 862 citations

Author Peers

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

Author						Papers	Cites
Claudia Gerhartz	662	413	340	122	117	11	883
Trevor Blake	597 0.9×	549 1.3×	338 1.0×	141 1.2×	103 0.9×	16	1.0k
Elke Dittrich	498 0.8×	441 1.1×	276 0.8×	75 0.6×	128 1.1×	13	870
K Yamamoto	534 0.8×	429 1.0×	318 0.9×	117 1.0×	91 0.8×	14	1.0k
Nicole Voltz	529 0.8×	478 1.2×	236 0.7×	41 0.3×	110 0.9×	11	962
Mette Nielsen	374 0.6×	372 0.9×	254 0.7×	69 0.6×	85 0.7×	16	755
Steve Enkemann	516 0.8×	211 0.5×	473 1.4×	63 0.5×	146 1.2×	8	895
Phyllis Harbor	402 0.6×	362 0.9×	402 1.2×	41 0.3×	183 1.6×	8	866
Shi We	637 1.0×	368 0.9×	370 1.1×	99 0.8×	169 1.4×	15	888
Yuichi Yakata	465 0.7×	194 0.5×	267 0.8×	56 0.5×	114 1.0×	14	725
John F. MacMaster	297 0.4×	378 0.9×	411 1.2×	32 0.3×	290 2.5×	13	991

Countries citing papers authored by Claudia Gerhartz

Since Specialization

Citations

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

Fields of papers citing papers by Claudia Gerhartz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Gerhartz

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Gerhartz. A scholar is included among the top collaborators of Claudia Gerhartz 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 Claudia Gerhartz. Claudia Gerhartz 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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