Gottfried Raab

25 total papers · 433 total citations
22 papers, 365 citations indexed

About

Gottfried Raab is a scholar working on Pharmacology, Cancer Research and Molecular Biology. According to data from OpenAlex, Gottfried Raab has authored 22 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pharmacology, 8 papers in Cancer Research and 6 papers in Molecular Biology. Recurrent topics in Gottfried Raab's work include Pharmacogenetics and Drug Metabolism (16 papers), Carcinogens and Genotoxicity Assessment (8 papers) and Drug Transport and Resistance Mechanisms (6 papers). Gottfried Raab is often cited by papers focused on Pharmacogenetics and Drug Metabolism (16 papers), Carcinogens and Genotoxicity Assessment (8 papers) and Drug Transport and Resistance Mechanisms (6 papers). Gottfried Raab collaborates with scholars based in Germany and United States. Gottfried Raab's co-authors include G. Grimmer, Jürgen Jacob, Johannes Doehmer, A. Schmoldt, Albrecht Seidel, Helmut Greim, J. Jacob, Andreas Luch, Wolfgang Schöber and Wolfgang A. Schmalix and has published in prestigious journals such as Cancer Letters, Analytical and Bioanalytical Chemistry and Toxicology.

In The Last Decade

Gottfried Raab

21 papers receiving 351 citations

Author Peers

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

Author						Papers	Cites
Gottfried Raab	169	166	134	121	41	22	365
Mary Anne Campbell	74 0.4×	116 0.7×	221 1.6×	41 0.3×	19 0.5×	13	335
Richard V. Branchflower	195 1.2×	53 0.3×	42 0.3×	76 0.6×	60 1.5×	12	337
Elsa Ortiz	144 0.9×	100 0.6×	44 0.3×	103 0.9×	28 0.7×	17	359
D.B. Tuey	93 0.6×	113 0.7×	211 1.6×	33 0.3×	30 0.7×	8	342
Gelboin Hv	212 1.3×	96 0.6×	42 0.3×	145 1.2×	86 2.1×	11	378
Iveta Bartoňková	94 0.6×	35 0.2×	95 0.7×	84 0.7×	31 0.8×	14	311
Sven Yllner	91 0.5×	166 1.0×	112 0.8×	76 0.6×	32 0.8×	19	382
R. Fiorio	86 0.5×	133 0.8×	82 0.6×	107 0.9×	49 1.2×	29	351
Max G. Parkki	194 1.1×	108 0.7×	99 0.7×	105 0.9×	62 1.5×	20	378
Camilla Bernasconi	93 0.6×	54 0.3×	116 0.9×	54 0.4×	33 0.8×	14	336

Countries citing papers authored by Gottfried Raab

Since Specialization

Citations

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

Fields of papers citing papers by Gottfried Raab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gottfried Raab

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