W. M. Shaw

2.8k total citations · 1 hit paper
93 papers, 1.8k citations indexed

About

W. M. Shaw is a scholar working on Molecular Biology, Information Systems and Artificial Intelligence. According to data from OpenAlex, W. M. Shaw has authored 93 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in W. M. Shaw's work include Information Retrieval and Search Behavior (12 papers), Topic Modeling (5 papers) and CRISPR and Genetic Engineering (5 papers). W. M. Shaw is often cited by papers focused on Information Retrieval and Search Behavior (12 papers), Topic Modeling (5 papers) and CRISPR and Genetic Engineering (5 papers). W. M. Shaw collaborates with scholars based in United States, United Kingdom and China. W. M. Shaw's co-authors include Tom Ellis, Patrick Howell, James C. Swihart, George L. Sun, Charlie Gilbert, Tzu‐Chieh Tang, Timothy K. Lu, Wolfgang Ott, Rong Tang and Jack L. Vevea and has published in prestigious journals such as Science, Cell and Physical Review Letters.

In The Last Decade

W. M. Shaw

93 papers receiving 1.6k citations

Hit Papers

Living materials with programmable functionalities grown ... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Living materials with programmable functionalities grown from engineered microbial co-cultures
    2021 222 citations Charlie Gilbert, Tzu‐Chieh Tang et al. Nature Materials profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
W. M. Shaw United States 22 644 339 283 170 111 93 1.8k
Shigeki Yamada Japan 22 812 1.3× 80 0.2× 80 0.3× 179 1.1× 82 0.7× 266 2.8k
Michael Specht Germany 29 928 1.4× 116 0.3× 135 0.5× 393 2.3× 174 1.6× 93 3.2k
Xiujuan Wang China 21 337 0.5× 268 0.8× 500 1.8× 58 0.3× 53 0.5× 142 1.9k
Catherine Mooney Ireland 30 1.8k 2.9× 104 0.3× 407 1.4× 57 0.3× 61 0.5× 115 3.3k
Hyunju Lee South Korea 31 1.5k 2.4× 78 0.2× 355 1.3× 70 0.4× 105 0.9× 214 3.4k
William Harrison United States 35 460 0.7× 1.6k 4.8× 1.8k 6.5× 494 2.9× 124 1.1× 117 4.1k
Jong Cheol Park South Korea 29 1.2k 1.9× 89 0.3× 606 2.1× 200 1.2× 438 3.9× 200 2.9k
Honghuang Lin United States 35 2.0k 3.0× 85 0.3× 130 0.5× 51 0.3× 61 0.5× 195 4.1k
Shamim Ahmad Bangladesh 22 829 1.3× 45 0.1× 229 0.8× 115 0.7× 63 0.6× 122 2.0k

Countries citing papers authored by W. M. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by W. M. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. M. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of W. M. Shaw. A scholar is included among the top collaborators of W. M. Shaw 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 W. M. Shaw. W. M. Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Meng, Fankang, et al.. (2025). Engineering yeast multicellular behaviors via synthetic adhesion and contact signaling. Cell. 188(18). 4936–4949.e14. 2 indexed citations
2.
Gowers, Glen-Oliver F., et al.. (2025). Iterative SCRaMbLE for engineering synthetic genome modules and chromosomes. Nature Communications. 16(1). 7278–7278. 1 indexed citations
3.
Peng, Huadong, Ruiqi Chen, W. M. Shaw, et al.. (2023). Modular Metabolic Engineering and Synthetic Coculture Strategies for the Production of Aromatic Compounds in Yeast. ACS Synthetic Biology. 12(6). 1739–1749. 26 indexed citations
4.
Shaw, W. M., Ahmad S. Khalil, & Tom Ellis. (2023). A Multiplex MoClo Toolkit for Extensive and Flexible Engineering of Saccharomyces cerevisiae. ACS Synthetic Biology. 12(11). 3393–3405. 21 indexed citations
5.
Shaw, W. M., Yunfeng Zhang, Ahmad S. Khalil, et al.. (2022). Screening microbially produced Δ9-tetrahydrocannabinol using a yeast biosensor workflow. Nature Communications. 13(1). 5509–5509. 15 indexed citations
6.
Shaw, W. M., Lucie Studená, Piotr Hapeta, et al.. (2022). Inducible expression of large gRNA arrays for multiplexed CRISPRai applications. Nature Communications. 13(1). 4984–4984. 40 indexed citations
7.
Gilbert, Charlie, Tzu‐Chieh Tang, Wolfgang Ott, et al.. (2021). Living materials with programmable functionalities grown from engineered microbial co-cultures. Nature Materials. 20(5). 691–700. 222 indexed citations breakdown →
8.
Shaw, W. M., Hitoshi Yamauchi, Glen-Oliver F. Gowers, et al.. (2019). Engineering a Model Cell for Rational Tuning of GPCR Signaling. Cell. 177(3). 782–796.e27. 129 indexed citations
9.
McCarty, Nicholas S., W. M. Shaw, Tom Ellis, & Rodrigo Ledesma‐Amaro. (2019). Rapid Assembly of gRNA Arrays via Modular Cloning in Yeast. ACS Synthetic Biology. 8(4). 906–910. 36 indexed citations
10.
Öling, David, W. M. Shaw, Sonya Clark, et al.. (2018). Large Scale Synthetic Site Saturation GPCR Libraries Reveal Novel Mutations That Alter Glucose Signaling. ACS Synthetic Biology. 7(9). 2317–2321. 4 indexed citations
11.
Awan, Ali Raza, et al.. (2017). Biosynthesis of the antibiotic nonribosomal peptide penicillin in baker’s yeast. Nature Communications. 8(1). 15202–15202. 75 indexed citations
12.
Shaw, W. M.. (2017). Elevated Urinary Glyphosate and Clostridia Metabolites With Altered Dopamine Metabolism in Triplets With Autistic Spectrum Disorder or Suspected Seizure Disorder: A Case Study.. PubMed. 16(1). 50–57. 32 indexed citations
13.
Awan, Ali Raza, W. M. Shaw, & Tom Ellis. (2016). Biosynthesis of therapeutic natural products using synthetic biology. Advanced Drug Delivery Reviews. 105(Pt A). 96–106. 42 indexed citations
14.
15.
Shaw, W. M., et al.. (2010). Immunodeficiency, Gastrointestinal Candidiasis, Wheat and Dairy Sensitivity, Abnormal Urine Arabinose, and Autism: A Case Study. North American Journal of Medicine and Science. 3(1). 1–1. 4 indexed citations
16.
Yang, Kiduk, et al.. (1997). Interactive retrieval using IRIS : TREC-6 experiments. Text REtrieval Conference. 711–733. 10 indexed citations
17.
Shaw, W. M., et al.. (1996). An investigation of relevance feedback using adaptive linear and probabilistic models. Text REtrieval Conference. 555–570. 7 indexed citations
18.
Shaw, W. M., et al.. (1991). The Cystic Fibrosis Database: Content and Research Opportunities.. Library & Information Science Research. 13(4). 347–366. 65 indexed citations
19.
Shaw, W. M., et al.. (1960). Organic Matter Decomposition and Plant Nutrient Release from Incorporations of Soybean Hay and Wheat Straw in a Holston Sandy Loam in Outdoor Lysimeters. Soil Science Society of America Journal. 24(1). 54–57. 5 indexed citations
20.

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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