Andrew Warren

1.8k total citations
18 papers, 802 citations indexed

About

Andrew Warren is a scholar working on Molecular Biology, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Andrew Warren has authored 18 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Biomedical Engineering and 3 papers in Epidemiology. Recurrent topics in Andrew Warren's work include Advanced biosensing and bioanalysis techniques (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Biosensors and Analytical Detection (3 papers). Andrew Warren is often cited by papers focused on Advanced biosensing and bioanalysis techniques (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Biosensors and Analytical Detection (3 papers). Andrew Warren collaborates with scholars based in United States and Germany. Andrew Warren's co-authors include Sangeeta N. Bhatia, Gabriel A. Kwong, David K. Wood, Kevin Lin, Jaideep S. Dudani, Jesse D. Kirkpatrick, Ioannis A. Papayannopoulos, Steven Mo, Geoffrey von Maltzahn and Gayathree Murugappan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and ACS Nano.

In The Last Decade

Andrew Warren

17 papers receiving 787 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Warren United States	13	406	358	99	98	74	18	802
Gayatri Gowrishankar United States	19	420 1.0×	313 0.9×	126 1.3×	123 1.3×	129 1.7×	30	1.1k
Damian Marshall United Kingdom	16	545 1.3×	449 1.3×	130 1.3×	62 0.6×	30 0.4×	34	1.3k
Ed Lim United States	12	254 0.6×	208 0.6×	41 0.4×	31 0.3×	45 0.6×	14	654
Anton Bunschoten Netherlands	19	353 0.9×	307 0.9×	153 1.5×	25 0.3×	98 1.3×	45	1.1k
Laurie J. Rich United States	12	178 0.4×	536 1.5×	68 0.7×	64 0.7×	197 2.7×	25	963
Annalisa Nicastri United Kingdom	19	478 1.2×	204 0.6×	156 1.6×	65 0.7×	50 0.7×	34	901
Guoqiu Wu China	18	812 2.0×	292 0.8×	110 1.1×	311 3.2×	64 0.9×	62	1.1k
Hao Cai China	16	313 0.8×	220 0.6×	164 1.7×	106 1.1×	29 0.4×	34	761
Luke J. Kubiatowicz United States	11	370 0.9×	196 0.5×	104 1.1×	57 0.6×	22 0.3×	17	623
Wouter H. P. Driessen United States	18	337 0.8×	509 1.4×	71 0.7×	34 0.3×	54 0.7×	35	1.1k

Countries citing papers authored by Andrew Warren

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Warren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Warren

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Warren. A scholar is included among the top collaborators of Andrew Warren 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 Andrew Warren. Andrew Warren 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:

18 of 18 papers shown

Slepčev, Dejan & Andrew Warren. (2023). Nonlocal Wasserstein distance: metric and asymptotic properties. Calculus of Variations and Partial Differential Equations. 62(9). 3 indexed citations

Subudhi, Sonu, Hannah K. Drescher, Laura E. Dichtel, et al.. (2021). Distinct Hepatic Gene‐Expression Patterns of NAFLD in Patients With Obesity. Hepatology Communications. 6(1). 77–89. 35 indexed citations

Kirkpatrick, Jesse D., Andrew Warren, Ava P. Soleimany, et al.. (2020). Urinary detection of lung cancer in mice via noninvasive pulmonary protease profiling. Science Translational Medicine. 12(537). 59 indexed citations

Cazanave, Sophie C., Andrew Warren, Eric Yi‐Hsiu Huang, et al.. (2019). SAT-281-Protease activity sensors for non-invasive monitoring of NASH. Journal of Hepatology. 70(1). e760–e760. 1 indexed citations

Luther, Jay, Manish Gala, Nienke Z. Borren, et al.. (2018). Hepatic connexin 32 associates with nonalcoholic fatty liver disease severity. Hepatology Communications. 2(7). 786–797. 12 indexed citations

Dudani, Jaideep S., et al.. (2018). Classification of prostate cancer using a protease activity nanosensor library. Proceedings of the National Academy of Sciences. 115(36). 8954–8959. 41 indexed citations

Dudani, Jaideep S., Andrew Warren, & Sangeeta N. Bhatia. (2017). Harnessing Protease Activity to Improve Cancer Care. DSpace@MIT (Massachusetts Institute of Technology). 2(1). 353–376. 68 indexed citations

Jena, Umakanta, Andrew Warren, Rhesa N. Ledbetter, et al.. (2015). Oleaginous yeast platform for producing biofuels via co-solvent hydrothermal liquefaction. Biotechnology for Biofuels. 8(1). 167–167. 50 indexed citations

Warren, Andrew, Gabriel A. Kwong, David K. Wood, Kevin Lin, & Sangeeta N. Bhatia. (2014). Point-of-care diagnostics for noncommunicable diseases using synthetic urinary biomarkers and paper microfluidics. Proceedings of the National Academy of Sciences. 111(10). 3671–3676. 141 indexed citations

10.

Hoekman, S. Kent, et al.. (2014). Laboratory pelletization of hydrochar from woody biomass. Biofuels. 5(6). 651–666. 31 indexed citations

11.

Warren, Andrew, et al.. (2014). Disease Detection by Ultrasensitive Quantification of Microdosed Synthetic Urinary Biomarkers. Journal of the American Chemical Society. 136(39). 13709–13714. 44 indexed citations

12.

Lin, Kevin, Gabriel A. Kwong, Andrew Warren, David K. Wood, & Sangeeta N. Bhatia. (2013). Nanoparticles That Sense Thrombin Activity As Synthetic Urinary Biomarkers of Thrombosis. ACS Nano. 7(10). 9001–9009. 91 indexed citations

13.

Kwong, Gabriel A., Geoffrey von Maltzahn, Gayathree Murugappan, et al.. (2012). Mass-encoded synthetic biomarkers for multiplexed urinary monitoring of disease. Nature Biotechnology. 31(1). 63–70. 12 indexed citations

14.

Maltzahn, Geoffrey von, Gayathree Murugappan, Steven Mo, et al.. (2011). Mass-encoded synthetic biomarkers for multiplexed urinary monitoring of disease. DSpace@MIT (Massachusetts Institute of Technology). 151 indexed citations

15.

Fuhrman, Christopher A., Andrew Warren, Alan J. Waring, et al.. (2007). Retrocyclin RC‐101 overcomes cationic mutations on the heptad repeat 2 region of HIV‐1 gp41. FEBS Journal. 274(24). 6477–6487. 17 indexed citations

16.

Cole, Amy L., Otto O. Yang, Andrew Warren, et al.. (2006). HIV-1 Adapts to a Retrocyclin with Cationic Amino Acid Substitutions That Reduce Fusion Efficiency of gp41. The Journal of Immunology. 176(11). 6900–6905. 41 indexed citations

17.

Warren, Andrew. (1990). A Scanning Electron Microscopic Study of the Morphology of Scyphidia physarum Lachmann, 1856 (Ciliophora: Peritrichida). Scanning microscopy. 5(1). 281–286. 4 indexed citations

18.

Warren, Andrew. (1990). Alberta's Small Gas Pool Reserves. Journal of Canadian Petroleum Technology. 29(4). 1 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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