Rachel Raab

25 total papers · 563 total citations
14 papers, 171 citations indexed

About

Rachel Raab is a scholar working on Genetics, Oncology and Molecular Biology. According to data from OpenAlex, Rachel Raab has authored 14 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Rachel Raab's work include Pharmacogenetics and Drug Metabolism (4 papers), Cancer Treatment and Pharmacology (3 papers) and Estrogen and related hormone effects (3 papers). Rachel Raab is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Cancer Treatment and Pharmacology (3 papers) and Estrogen and related hormone effects (3 papers). Rachel Raab collaborates with scholars based in United States, Germany and India. Rachel Raab's co-authors include Jan H. Wong, Joseph J. Weber, Clay Wakano, Kevin Gardner, Cecilia Zvosec, Charles M. Perou, Jung S. Byun, Kent W. Hunter, Galina Khramtsova and Songjoon Baek and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Rachel Raab

13 papers receiving 169 citations

Author Peers

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

Author						Papers	Cites
Rachel Raab	105	55	40	35	12	14	171
Saiju Pyarajan	101 1.0×	80 1.5×	24 0.6×	34 1.0×	9 0.8×	23	240
Andrew Dervan	85 0.8×	32 0.6×	39 1.0×	34 1.0×	5 0.4×	12	212
Richard Khanyile	64 0.6×	80 1.5×	45 1.1×	18 0.5×	5 0.4×	12	199
Penny Coulson	89 0.8×	85 1.5×	37 0.9×	81 2.3×	9 0.8×	12	225
Katelijne De Nys	124 1.2×	26 0.5×	34 0.8×	11 0.3×	15 1.3×	13	253
Zahraa Rahal	119 1.1×	87 1.6×	74 1.9×	17 0.5×	4 0.3×	14	243
Elizabeth Schackmann	76 0.7×	101 1.8×	103 2.6×	106 3.0×	15 1.3×	10	229
N P Napalkov	70 0.7×	36 0.7×	58 1.4×	20 0.6×	3 0.3×	20	237
Hisani N. Horne	95 0.9×	91 1.7×	66 1.6×	23 0.7×	15 1.3×	11	221
A. Keith Stewart	123 1.2×	26 0.5×	28 0.7×	34 1.0×	2 0.2×	14	210

Countries citing papers authored by Rachel Raab

Since Specialization

Citations

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

Fields of papers citing papers by Rachel Raab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Raab

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