Philip Beineke

27 total papers · 908 total citations
16 papers, 457 citations indexed

About

Philip Beineke is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Philip Beineke has authored 16 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in Philip Beineke's work include Molecular Biology Techniques and Applications (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Viral-associated cancers and disorders (3 papers). Philip Beineke is often cited by papers focused on Molecular Biology Techniques and Applications (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Viral-associated cancers and disorders (3 papers). Philip Beineke collaborates with scholars based in United States, Norway and Denmark. Philip Beineke's co-authors include Gary W. Witherell, Trevor Hastie, Shivakumar Vaithyanathan, Steven Rosenberg, James A. Wingrove, Michael Elashoff, William E. Kraus, Heng Tao, Christopher D. Manning and Susan E. Daniels and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Philip Beineke

15 papers receiving 430 citations

Author Peers

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

Author						Papers	Cites
Philip Beineke	121	101	75	73	67	16	457
Andrew Lesniak	91 0.8×	148 1.5×	63 0.8×	13 0.2×	82 1.2×	17	491
Sudhir Perincheri	255 2.1×	70 0.7×	15 0.2×	35 0.5×	35 0.5×	27	536
Masaru Koido	223 1.8×	18 0.2×	51 0.7×	16 0.2×	51 0.8×	30	512
Chiung‐Ru Lai	117 1.0×	25 0.2×	58 0.8×	28 0.4×	130 1.9×	24	500
Hesham Eldaly	185 1.5×	76 0.8×	14 0.2×	8 0.1×	22 0.3×	19	437
Nelly Alieldin	58 0.5×	40 0.4×	23 0.3×	19 0.3×	60 0.9×	25	404
Kathy Paizis	167 1.4×	20 0.2×	11 0.1×	21 0.3×	19 0.3×	26	464
Samuel Bieligk	53 0.4×	20 0.2×	15 0.2×	18 0.2×	120 1.8×	13	472
Sebastian Klein	118 1.0×	53 0.5×	17 0.2×	4 0.1×	37 0.6×	31	446
Patricia M. Alli	159 1.3×	32 0.3×	20 0.3×	22 0.3×	265 4.0×	13	542

Countries citing papers authored by Philip Beineke

Since Specialization

Citations

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

Fields of papers citing papers by Philip Beineke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Beineke

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