Rachel Howard

39 total papers · 944 total citations
19 papers, 546 citations indexed

About

Rachel Howard is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rachel Howard has authored 19 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rachel Howard's work include Adipose Tissue and Metabolism (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). Rachel Howard is often cited by papers focused on Adipose Tissue and Metabolism (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). Rachel Howard collaborates with scholars based in United States, United Kingdom and Canada. Rachel Howard's co-authors include Peter A. Kanetsky, Kathleen M. Egan, M C Sugden, M J Holness, Mary C. Sugden, Gideon P. Smith, Mark J. Holness, Michael R. Munday, Dana E. Rollison and Paul Allen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Scientific Reports.

In The Last Decade

Rachel Howard

19 papers receiving 542 citations

Author Peers

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

Author						Papers	Cites
Rachel Howard	186	76	76	67	61	19	546
Sujata Narayanan	162 0.9×	81 1.1×	82 1.1×	73 1.1×	156 2.6×	23	468
Lixia Zhu	233 1.3×	84 1.1×	40 0.5×	72 1.1×	58 1.0×	21	597
T.K. Wheeler	135 0.7×	57 0.8×	22 0.3×	54 0.8×	70 1.1×	19	459
Aline Maillard	259 1.4×	47 0.6×	53 0.7×	80 1.2×	121 2.0×	26	565
James Howard	145 0.8×	85 1.1×	64 0.8×	243 3.6×	94 1.5×	14	551
Fu Gui	117 0.6×	216 2.8×	79 1.0×	56 0.8×	77 1.3×	25	582
Denise Lowe	133 0.7×	100 1.3×	29 0.4×	58 0.9×	35 0.6×	26	478
Luopei Wei	265 1.4×	110 1.4×	51 0.7×	90 1.3×	162 2.7×	18	594
Jürgen Ordemann	151 0.8×	162 2.1×	97 1.3×	214 3.2×	88 1.4×	19	585
Barbara Grün	227 1.2×	154 2.0×	52 0.7×	53 0.8×	48 0.8×	33	531

Countries citing papers authored by Rachel Howard

Since Specialization

Citations

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

Fields of papers citing papers by Rachel Howard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Howard

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