William Hawthorne

12 total papers · 502 total citations
6 papers, 333 citations indexed

About

William Hawthorne is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, William Hawthorne has authored 6 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Genetics. Recurrent topics in William Hawthorne's work include Bacterial Genetics and Biotechnology (3 papers), Alzheimer's disease research and treatments (3 papers) and Protein Structure and Dynamics (2 papers). William Hawthorne is often cited by papers focused on Bacterial Genetics and Biotechnology (3 papers), Alzheimer's disease research and treatments (3 papers) and Protein Structure and Dynamics (2 papers). William Hawthorne collaborates with scholars based in United Kingdom, Singapore and Denmark. William Hawthorne's co-authors include Kang Zhu, A. Ariza, David Neuhaus, Dragana Ahel, Marcin J. Suskiewicz, Ivan Ahel, Pietro Fontana, Ji‐Chun Yang, Stephen Matthews and Sarah L. Rouse and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

William Hawthorne

6 papers receiving 331 citations

Author Peers

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

Author						Papers	Cites
William Hawthorne	227	173	50	48	42	6	333
Chandrakant P. Giri	255 1.1×	153 0.9×	11 0.2×	51 1.1×	29 0.7×	11	363
Gerda Szakonyi	240 1.1×	102 0.6×	9 0.2×	12 0.3×	115 2.7×	7	370
J F Karr	120 0.5×	12 0.1×	16 0.3×	57 1.2×	40 1.0×	5	382
Tanya M Budiarto	203 0.9×	137 0.8×	27 0.5×	34 0.7×	65 1.5×	6	376
Angela Lord	108 0.5×	56 0.3×	12 0.2×	25 0.5×	37 0.9×	7	344
Simon Barkow‐Oesterreicher	215 0.9×	52 0.3×	11 0.2×	25 0.5×	25 0.6×	10	336
Akikazu Yoshikawa	326 1.4×	108 0.6×	6 0.1×	27 0.6×	71 1.7×	6	383
Bahne Stechmann	169 0.7×	15 0.1×	11 0.2×	111 2.3×	29 0.7×	8	332
Ferdinand Sedlmayer	276 1.2×	38 0.2×	6 0.1×	25 0.5×	33 0.8×	7	362
Christelle Villeneuve	184 0.8×	13 0.1×	13 0.3×	69 1.4×	14 0.3×	5	386

Countries citing papers authored by William Hawthorne

Since Specialization

Citations

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

Fields of papers citing papers by William Hawthorne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Hawthorne

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