Douglas McCloskey

3.0k total citations · 1 hit paper
33 papers, 1.9k citations indexed

About

Douglas McCloskey is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Douglas McCloskey has authored 33 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 9 papers in Genetics and 5 papers in Biomedical Engineering. Recurrent topics in Douglas McCloskey's work include Microbial Metabolic Engineering and Bioproduction (21 papers), Metabolomics and Mass Spectrometry Studies (12 papers) and Gene Regulatory Network Analysis (7 papers). Douglas McCloskey is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (21 papers), Metabolomics and Mass Spectrometry Studies (12 papers) and Gene Regulatory Network Analysis (7 papers). Douglas McCloskey collaborates with scholars based in Denmark, United States and United Kingdom. Douglas McCloskey's co-authors include Bernhard Ø. Palsson, Adam M. Feist, Jason H. Yang, James J. Collins, Natalie I. Vokes, Seth J. Parker, Matthew G. Vander Heiden, Brian P. Fiske, Courtney R. Green and Christian M. Metallo and has published in prestigious journals such as Cell, Nature Communications and Molecular Cell.

In The Last Decade

Douglas McCloskey

32 papers receiving 1.9k citations

Hit Papers

align trajectories

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.

Tracing Compartmentalized NADPH Metabolism in the Cytosol and Mitochondria of Mammalian Cells

2014 438 citations Caroline A. Lewis, Seth J. Parker et al. Molecular Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Douglas McCloskey Denmark	22	1.5k	304	258	197	99	33	1.9k
Mattia Zampieri Switzerland	21	1.2k 0.8×	173 0.6×	258 1.0×	110 0.6×	110 1.1×	36	1.6k
Karl Kochanowski Switzerland	18	2.0k 1.3×	218 0.7×	659 2.6×	82 0.4×	223 2.3×	25	2.4k
Andris Jankevics United Kingdom	20	1.6k 1.0×	210 0.7×	93 0.4×	413 2.1×	426 4.3×	39	2.3k
Victor Chubukov United States	17	1.3k 0.8×	262 0.9×	307 1.2×	34 0.2×	38 0.4×	20	1.7k
James T. Yurkovich United States	22	1.0k 0.7×	219 0.7×	190 0.7×	40 0.2×	26 0.3×	43	1.3k
Christopher P. Landowski United States	29	1.1k 0.7×	275 0.9×	102 0.4×	78 0.4×	87 0.9×	44	2.6k
Kaj Albermann Germany	9	1.5k 1.0×	77 0.3×	152 0.6×	311 1.6×	23 0.2×	12	2.5k
Michael Mülleder United Kingdom	23	1.6k 1.0×	164 0.5×	130 0.5×	132 0.7×	433 4.4×	51	2.2k

Countries citing papers authored by Douglas McCloskey

Since Specialization

Citations

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

Fields of papers citing papers by Douglas McCloskey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Douglas McCloskey

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Srivastava, Shivani, Majid B. Shaikh, Eric Chiles, et al.. (2025). Bioenergetic stress potentiates antimicrobial resistance and persistence. Nature Communications. 16(1). 5111–5111. 2 indexed citations

Hermjakob, Henning, Tung V. N. Nguyen, Thomas Rückle, et al.. (2025). Talk2Biomodels: AI agent-based open-source LLM initiative for kinetic biological models. BMC Bioinformatics. 26(1). 276–276.

Donati, Stefano, Simo Abdessamad Baallal Jacobsen, Jérôme Maury, et al.. (2023). An automated workflow for multi-omics screening of microbial model organisms. npj Systems Biology and Applications. 9(1). 4 indexed citations

Volke, Daniel C., et al.. (2023). Automating the design-build-test-learn cycle towards next-generation bacterial cell factories. New Biotechnology. 74. 1–15. 51 indexed citations

McCloskey, Douglas, et al.. (2023). In Search of Disentanglement in Tandem Mass Spectrometry Datasets. Biomolecules. 13(9). 1343–1343. 1 indexed citations

Al‐Sari, Naba, Svetlana Kutuzova, Tommi Suvitaival, et al.. (2022). Precision diagnostic approach to predict 5-year risk for microvascular complications in type 1 diabetes. EBioMedicine. 80. 104032–104032. 9 indexed citations

Kutuzova, Svetlana, Timo Sachsenberg, Oliver Alka, et al.. (2020). SmartPeak Automates Targeted and Quantitative Metabolomics Data Processing. Analytical Chemistry. 92(24). 15968–15974. 21 indexed citations

Dahlin, Jonathan, Carina Holkenbrink, Eko Roy Marella, et al.. (2019). Multi-Omics Analysis of Fatty Alcohol Production in Engineered Yeasts Saccharomyces cerevisiae and Yarrowia lipolytica. Frontiers in Genetics. 10. 637738–637738. 34 indexed citations

Yang, Jason H., Sarah N. Wright, Meagan Hamblin, et al.. (2019). A White-Box Machine Learning Approach for Revealing Antibiotic Mechanisms of Action. Cell. 177(6). 1649–1661.e9. 225 indexed citations

10.

Cheng, Chuankai, Edward J. O’Brien, Douglas McCloskey, et al.. (2019). Laboratory evolution reveals a two-dimensional rate-yield tradeoff in microbial metabolism. PLoS Computational Biology. 15(6). e1007066–e1007066. 29 indexed citations

11.

McCloskey, Douglas, Sibei Xu, Troy E. Sandberg, et al.. (2018). Multiple Optimal Phenotypes Overcome Redox and Glycolytic Intermediate Metabolite Imbalances in Escherichia coli pgi Knockout Evolutions. Applied and Environmental Microbiology. 84(19). 28 indexed citations

12.

McCloskey, Douglas, Sibei Xu, Troy E. Sandberg, et al.. (2018). Adaptation to the coupling of glycolysis to toxic methylglyoxal production in tpiA deletion strains of Escherichia coli requires synchronized and counterintuitive genetic changes. Metabolic Engineering. 48. 82–93. 34 indexed citations

13.

McCloskey, Douglas, Julia Xu, Lars Schrübbers, Hanne Bjerre Christensen, & Markus J. Herrgård. (2018). RapidRIP quantifies the intracellular metabolome of 7 industrial strains of E. coli. Metabolic Engineering. 47. 383–392. 24 indexed citations

14.

McCloskey, Douglas, Sibei Xu, Troy E. Sandberg, et al.. (2018). Growth Adaptation of gnd and sdhCB Escherichia coli Deletion Strains Diverges From a Similar Initial Perturbation of the Transcriptome. Frontiers in Microbiology. 9. 1793–1793. 21 indexed citations

15.

Kristensen, Mette, et al.. (2017). Quantifying the Metabolome of Pseudomonas taiwanensis VLB120: Evaluation of Hot and Cold Combined Quenching/Extraction Approaches. Analytical Chemistry. 89(17). 8738–8747. 10 indexed citations

16.

Utrilla, José, Edward J. O’Brien, Ke Chen, et al.. (2016). Global Rebalancing of Cellular Resources by Pleiotropic Point Mutations Illustrates a Multi-scale Mechanism of Adaptive Evolution. Cell Systems. 2(4). 260–271. 86 indexed citations

17.

Brunk, Elizabeth, Kevin W. George, Jorge Alonso-Gutiérrez, et al.. (2016). Characterizing Strain Variation in Engineered E. coli Using a Multi-Omics-Based Workflow. Cell Systems. 2(5). 335–346. 70 indexed citations

18.

Bordbar, Aarash, Douglas McCloskey, Daniel C. Zielinski, et al.. (2015). Personalized Whole-Cell Kinetic Models of Metabolism for Discovery in Genomics and Pharmacodynamics. Cell Systems. 1(4). 283–292. 73 indexed citations

19.

Lewis, Caroline A., Seth J. Parker, Brian P. Fiske, et al.. (2014). Tracing Compartmentalized NADPH Metabolism in the Cytosol and Mitochondria of Mammalian Cells. Molecular Cell. 55(2). 253–263. 438 indexed citations breakdown →

20.

McCloskey, Douglas, Bernhard Ø. Palsson, & Adam M. Feist. (2013). Basic and applied uses of genome‐scale metabolic network reconstructions of Escherichia coli. Molecular Systems Biology. 9(1). 661–661. 248 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.

Explore authors with similar magnitude of impact