William M. Hewitt

23 total papers · 957 total citations
12 papers, 750 citations indexed

About

William M. Hewitt is a scholar working on Molecular Biology, Organic Chemistry and Epidemiology. According to data from OpenAlex, William M. Hewitt has authored 12 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Epidemiology. Recurrent topics in William M. Hewitt's work include Advanced biosensing and bioanalysis techniques (4 papers), Ubiquitin and proteasome pathways (3 papers) and Chemical Synthesis and Analysis (3 papers). William M. Hewitt is often cited by papers focused on Advanced biosensing and bioanalysis techniques (4 papers), Ubiquitin and proteasome pathways (3 papers) and Chemical Synthesis and Analysis (3 papers). William M. Hewitt collaborates with scholars based in United States, China and Israel. William M. Hewitt's co-authors include Cameron R. Pye, R. Scott Lokey, Matthew P. Jacobson, Joshua Schwochert, Maria A. Bednarek, Siegfried S. F. Leung, Chad E. Townsend, Akihiro Furukawa, David A. Price and John S. Schneekloth and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

William M. Hewitt

12 papers receiving 733 citations

Author Peers

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

Author						Papers	Cites
William M. Hewitt	625	188	106	97	91	12	750
Chad E. Townsend	580 0.9×	176 0.9×	128 1.2×	111 1.1×	116 1.3×	11	690
Jonathan Bock	486 0.8×	242 1.3×	104 1.0×	85 0.9×	67 0.7×	10	647
Joshua Schwochert	695 1.1×	250 1.3×	162 1.5×	136 1.4×	89 1.0×	17	823
Daniel S. Nielsen	642 1.0×	288 1.5×	166 1.6×	61 0.6×	76 0.8×	14	771
Milon Mondal	553 0.9×	297 1.6×	80 0.8×	79 0.8×	68 0.7×	23	795
Yujia Wang	617 1.0×	414 2.2×	53 0.5×	69 0.7×	91 1.0×	14	813
Marta Pelay‐Gimeno	727 1.2×	352 1.9×	84 0.8×	63 0.6×	128 1.4×	9	859
W. Mei Kok	445 0.7×	144 0.8×	35 0.3×	69 0.7×	61 0.7×	20	724
Timothy W. Craven	704 1.1×	289 1.5×	74 0.7×	48 0.5×	104 1.1×	21	821
Allister J. Maynard	616 1.0×	159 0.8×	56 0.5×	99 1.0×	47 0.5×	9	736

Countries citing papers authored by William M. Hewitt

Since Specialization

Citations

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

Fields of papers citing papers by William M. Hewitt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William M. Hewitt

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