Daniel Weaver

6.3k total citations · 2 hit papers
12 papers, 3.2k citations indexed

About

Daniel Weaver is a scholar working on Molecular Biology, Biomedical Engineering and Nephrology. According to data from OpenAlex, Daniel Weaver has authored 12 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Biomedical Engineering and 1 paper in Nephrology. Recurrent topics in Daniel Weaver's work include Microbial Metabolic Engineering and Bioproduction (11 papers), Biofuel production and bioconversion (7 papers) and Bioinformatics and Genomic Networks (6 papers). Daniel Weaver is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (11 papers), Biofuel production and bioconversion (7 papers) and Bioinformatics and Genomic Networks (6 papers). Daniel Weaver collaborates with scholars based in United States, Australia and India. Daniel Weaver's co-authors include Peter D. Karp, Mario Latendresse, Ingrid M. Keseler, Suzanne Paley, Markus Krummenacker, Richard Billington, Anamika Kothari, Pallavi Subhraveti, Carol A. Fulcher and Ron Caspi and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Daniel Weaver

12 papers receiving 3.2k citations

Hit Papers

The MetaCyc database of metabolic pathways and enzymes an... 2013 2026 2017 2021 2015 2013 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Weaver United States 11 2.5k 468 434 288 241 12 3.2k
Wai Kit Ong United States 12 1.9k 0.7× 353 0.8× 304 0.7× 166 0.6× 268 1.1× 15 2.5k
Tomer Altman United States 10 2.0k 0.8× 442 0.9× 365 0.8× 391 1.4× 205 0.9× 12 2.7k
Quang Ong United States 8 3.5k 1.4× 676 1.4× 564 1.3× 420 1.5× 380 1.6× 10 4.6k
Jeremy Zucker United States 20 2.1k 0.8× 722 1.5× 295 0.7× 284 1.0× 203 0.8× 36 3.0k
Carol A. Fulcher United States 12 3.6k 1.4× 692 1.5× 582 1.3× 409 1.4× 417 1.7× 17 4.8k
Alexander A. Aksenov United States 25 1.6k 0.7× 243 0.5× 658 1.5× 341 1.2× 87 0.4× 67 3.1k
María Suárez‐Diez Netherlands 27 1.6k 0.6× 330 0.7× 474 1.1× 132 0.5× 198 0.8× 96 2.6k
Daniel Spakowicz United States 19 1.4k 0.5× 287 0.6× 177 0.4× 359 1.2× 140 0.6× 75 2.7k
Hartmut Foerster United States 7 3.5k 1.4× 508 1.1× 448 1.0× 1.2k 4.3× 396 1.6× 10 4.7k
Xiangmin Lin China 35 1.3k 0.5× 466 1.0× 168 0.4× 237 0.8× 392 1.6× 88 2.9k

Countries citing papers authored by Daniel Weaver

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Weaver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Weaver

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

All Works

12 of 12 papers shown
1.
Karp, Peter D., Daniel Weaver, & Mario Latendresse. (2018). How accurate is automated gap filling of metabolic models?. BMC Systems Biology. 12(1). 73–73. 35 indexed citations
2.
Ghosh, Amit, Vinay Kumar, Daniel Weaver, et al.. (2017). The JBEI quantitative metabolic modeling library (jQMM): a python library for modeling microbial metabolism. BMC Bioinformatics. 18(1). 205–205. 16 indexed citations
3.
Paley, Suzanne, Paul E. O’Maille, Daniel Weaver, & Peter D. Karp. (2016). Pathway collages: personalized multi-pathway diagrams. BMC Bioinformatics. 17(1). 529–529. 18 indexed citations
4.
Tanaka, Hisae, Tammy L. Sirich, Natalie S. Plummer, Daniel Weaver, & Timothy W. Meyer. (2015). An Enlarged Profile of Uremic Solutes. PLoS ONE. 10(8). e0135657–e0135657. 68 indexed citations
5.
Caspi, Ron, Richard Billington, Luciana Ferrer, et al.. (2015). The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases. Nucleic Acids Research. 44(D1). D471–D480. 1906 indexed citations breakdown →
6.
Karp, Peter D., Richard Billington, Timothy A. Holland, et al.. (2015). Computational Metabolomics Operations at BioCyc.org. Metabolites. 5(2). 291–310. 21 indexed citations
7.
Martín, Héctor García, Vinay Kumar, Daniel Weaver, et al.. (2015). A Method to Constrain Genome-Scale Models with 13C Labeling Data. PLoS Computational Biology. 11(9). e1004363–e1004363. 52 indexed citations
8.
Karp, Peter D., Mario Latendresse, Suzanne Paley, et al.. (2015). Pathway Tools version 19.0 update: software for pathway/genome informatics and systems biology. Briefings in Bioinformatics. 17(5). 877–890. 179 indexed citations
9.
Ghosh, Amit, Jerome P. Nilmeier, Daniel Weaver, et al.. (2014). A Peptide-Based Method for 13C Metabolic Flux Analysis in Microbial Communities. PLoS Computational Biology. 10(9). e1003827–e1003827. 47 indexed citations
10.
Dingerdissen, Hayley, Daniel Weaver, Peter D. Karp, et al.. (2014). A framework for application of metabolic modeling in yeast to predict the effects of nsSNV in human orthologs. Biology Direct. 9(1). 9–9. 1 indexed citations
11.
Weaver, Daniel, Ingrid M. Keseler, Amanda Mackie, Ian T. Paulsen, & Peter D. Karp. (2014). A genome-scale metabolic flux model of Escherichia coli K–12 derived from the EcoCyc database. BMC Systems Biology. 8(1). 79–79. 36 indexed citations
12.
Caspi, Ron, Tomer Altman, Richard Billington, et al.. (2013). The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases. Nucleic Acids Research. 42(D1). D459–D471. 867 indexed citations breakdown →

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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