William W. Metcalf

15.8k total citations · 3 hit papers
150 papers, 10.6k citations indexed

About

William W. Metcalf is a scholar working on Molecular Biology, Pharmacology and Building and Construction. According to data from OpenAlex, William W. Metcalf has authored 150 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Molecular Biology, 26 papers in Pharmacology and 26 papers in Building and Construction. Recurrent topics in William W. Metcalf's work include Microbial Natural Products and Biosynthesis (26 papers), Anaerobic Digestion and Biogas Production (26 papers) and Biochemical and Molecular Research (22 papers). William W. Metcalf is often cited by papers focused on Microbial Natural Products and Biosynthesis (26 papers), Anaerobic Digestion and Biogas Production (26 papers) and Biochemical and Molecular Research (22 papers). William W. Metcalf collaborates with scholars based in United States, Germany and Italy. William W. Metcalf's co-authors include Barry L. Wanner, Wilfred A. van der Donk, Jun Kai Zhang, Andrea K. White, James R. Doroghazi, Neil L. Kelleher, Michael Rother, R. S. Wolfe, Kou‐San Ju and Weihong Jiang and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

William W. Metcalf

149 papers receiving 10.5k citations

Hit Papers

align trajectories sort by overperformance

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.

antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation

2023 1.1k citations William W. Metcalf, Marnix H. Medema et al. profile →
A computational framework to explore large-scale biosynthetic diversity

2019 590 citations Jorge C. Navarro-Muñoz, Nelly Sélem‐Mójica et al. Nature Chemical Biology profile →
A roadmap for natural product discovery based on large-scale genomics and metabolomics

2014 364 citations James R. Doroghazi, Anthony W. Goering et al. Nature Chemical Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William W. Metcalf United States	57	6.4k	2.0k	1.8k	1.4k	1.2k	150	10.6k
Tadayuki Imanaka Japan	58	8.4k 1.3×	341 0.2×	1.7k 0.9×	1.3k 0.9×	328 0.3×	382	12.1k
Gregory M. Cook New Zealand	52	5.7k 0.9×	308 0.2×	1.5k 0.8×	426 0.3×	370 0.3×	263	9.9k
Wolf‐Rainer Abraham Germany	44	3.3k 0.5×	858 0.4×	2.1k 1.1×	983 0.7×	122 0.1×	183	7.4k
Shigeaki Harayama Japan	72	8.1k 1.3×	494 0.2×	4.5k 2.4×	1.7k 1.2×	448 0.4×	263	17.0k
Johannes F. Imhoff Germany	55	4.4k 0.7×	2.4k 1.2×	4.0k 2.2×	723 0.5×	118 0.1×	248	9.1k
Godfried D. Vogels Netherlands	47	4.6k 0.7×	315 0.2×	1.2k 0.7×	1.2k 0.8×	1.3k 1.1×	238	8.1k
Milton S. da Costa Portugal	48	6.8k 1.1×	487 0.2×	4.2k 2.3×	1.4k 1.0×	123 0.1×	197	9.9k
Robert P. Hausinger United States	61	7.1k 1.1×	319 0.2×	578 0.3×	1.1k 0.8×	197 0.2×	212	15.5k
Alan T. Bull United Kingdom	55	5.3k 0.8×	3.1k 1.6×	1.8k 1.0×	1.6k 1.1×	72 0.1×	213	10.0k
Wolfgang Buckel Germany	56	8.0k 1.3×	182 0.1×	1.2k 0.7×	409 0.3×	1.6k 1.4×	236	12.5k

Countries citing papers authored by William W. Metcalf

Since Specialization

Citations

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

Fields of papers citing papers by William W. Metcalf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William W. Metcalf

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

All Works

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20 of 20 papers shown

Buan, Nicole R. & William W. Metcalf. (2024). Transcriptional response of Methanosarcina acetivorans to repression of the energy-conserving methanophenazine: CoM-CoB heterodisulfide reductase enzyme HdrED. Microbiology Spectrum. 12(12). e0095724–e0095724. 1 indexed citations

Zhu, Lingyang, et al.. (2023). Complete Biochemical Characterization of Pantaphos Biosynthesis Highlights an Unusual Role for a SAM‐Dependent Methyltransferase. Angewandte Chemie International Edition. 63(7). e202317262–e202317262. 3 indexed citations

Wen, Po‐Chao, et al.. (2022). Role of internal loop dynamics in antibiotic permeability of outer membrane porins. Proceedings of the National Academy of Sciences. 119(8). 28 indexed citations

Zhao, Mei, Teresa A. Coutinho, William W. Metcalf, et al.. (2022). A Novel Biosynthetic Gene Cluster Across the Pantoea Species Complex Is Important for Pathogenicity in Onion. Molecular Plant-Microbe Interactions. 36(3). 176–188. 6 indexed citations

Geddes, Emily J., et al.. (2021). Rationalizing the generation of broad spectrum antibiotics with the addition of a positive charge. Chemical Science. 12(45). 15028–15044. 19 indexed citations

Navarro-Muñoz, Jorge C., Nelly Sélem‐Mójica, Michael W. Mullowney, et al.. (2019). A computational framework to explore large-scale biosynthetic diversity. Nature Chemical Biology. 16(1). 60–68. 590 indexed citations breakdown →

Mand, Thomas D., Gargi Kulkarni, & William W. Metcalf. (2018). Genetic, Biochemical, and Molecular Characterization of Methanosarcina barkeri Mutants Lacking Three Distinct Classes of Hydrogenase. Journal of Bacteriology. 200(20). 37 indexed citations

Kulkarni, Gargi, Thomas D. Mand, & William W. Metcalf. (2018). Energy Conservation via Hydrogen Cycling in the Methanogenic Archaeon Methanosarcina barkeri. mBio. 9(4). 69 indexed citations

Navarro-Muñoz, Jorge C., Nelly Sélem‐Mójica, Michael W. Mullowney, et al.. (2018). Genomic data for "A computational framework to explore large-scale biosynthetic diversity". Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

10.

Ju, Kou‐San, Jiangtao Gao, James R. Doroghazi, et al.. (2015). Discovery of phosphonic acid natural products by mining the genomes of 10,000 actinomycetes. Proceedings of the National Academy of Sciences. 112(39). 12175–12180. 150 indexed citations

11.

Youngblut, Nicholas D., Joseph S. Wirth, James R. Henriksen, et al.. (2015). Genomic and phenotypic differentiation among Methanosarcina mazei populations from Columbia River sediment. The ISME Journal. 9(10). 2191–2205. 28 indexed citations

12.

Gao, Jiangtao, Kou‐San Ju, Xiaomin Yu, et al.. (2013). Use of a Phosphonate Methyltransferase in the Identification of the Fosfazinomycin Biosynthetic Gene Cluster. Angewandte Chemie International Edition. 53(5). 1334–1337. 41 indexed citations

13.

Metcalf, William W., Benjamin M. Griffin, Robert M. Cicchillo, et al.. (2012). Synthesis of Methylphosphonic Acid by Marine Microbes: A Source for Methane in the Aerobic Ocean. Science. 337(6098). 1104–1107. 222 indexed citations

14.

Johannes, Tyler W., Benjamin M. Griffin, Paul M. Thomas, et al.. (2010). Deciphering the Late Biosynthetic Steps of Antimalarial Compound FR-900098. Chemistry & Biology. 17(1). 57–64. 31 indexed citations

15.

Woodyer, Ryan D., Zengyi Shao, Paul M. Thomas, et al.. (2006). Heterologous Production of Fosfomycin and Identification of the Minimal Biosynthetic Gene Cluster. Chemistry & Biology. 13(11). 1171–1182. 89 indexed citations

16.

Guss, Adam M., Biswarup Mukhopadhyay, Jun Kai Zhang, & William W. Metcalf. (2005). Genetic analysis of mch mutants in two Methanosarcina species demonstrates multiple roles for the methanopterin‐dependent C‐1 oxidation/reduction pathway and differences in H ₂ metabolism between closely related species. Molecular Microbiology. 55(6). 1671–1680. 56 indexed citations

17.

White, Andrea K. & William W. Metcalf. (2004). The htx and ptx Operons of Pseudomonas stutzeri WM88 Are New Members of the Pho Regulon. Journal of Bacteriology. 186(17). 5876–5882. 47 indexed citations

18.

Metcalf, William W., et al.. (2004). A new activity for an old enzyme: Escherichia coli bacterial alkaline phosphatase is a phosphite-dependent hydrogenase. Proceedings of the National Academy of Sciences. 101(21). 7919–7924. 107 indexed citations

19.

Zhang, Jun Kai, et al.. (2002). Genetic analysis of the archaeon Methanosarcina barkeri Fusaro reveals a central role for Ech hydrogenase and ferredoxin in methanogenesis and carbon fixation. Proceedings of the National Academy of Sciences. 99(8). 5632–5637. 138 indexed citations

20.

White, Andrea K. & William W. Metcalf. (2002). Isolation and Biochemical Characterization of Hypophosphite/ 2-Oxoglutarate Dioxygenase. Journal of Biological Chemistry. 277(41). 38262–38271. 25 indexed citations

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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