Aarash Bordbar

7.7k total citations · 2 hit papers
32 papers, 3.9k citations indexed

About

Aarash Bordbar is a scholar working on Molecular Biology, Physiology and Hematology. According to data from OpenAlex, Aarash Bordbar has authored 32 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Physiology and 6 papers in Hematology. Recurrent topics in Aarash Bordbar's work include Microbial Metabolic Engineering and Bioproduction (17 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Erythrocyte Function and Pathophysiology (9 papers). Aarash Bordbar is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (17 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Erythrocyte Function and Pathophysiology (9 papers). Aarash Bordbar collaborates with scholars based in United States, Iceland and Denmark. Aarash Bordbar's co-authors include Bernhard Ø. Palsson, Jan Schellenberger, Nathan E. Lewis, Jonathan M. Monk, Zachary A. King, Daniel C. Zielinski, Adam M. Feist, Ronan M. T. Fleming, Ines Thiele and Daniel R. Hyduke and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Aarash Bordbar

32 papers receiving 3.9k 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.

Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0

2011 1.3k citations Jan Schellenberger, Richard Que et al. profile →
Constraint-based models predict metabolic and associated cellular functions

2014 586 citations Aarash Bordbar, Bernhard Ø. Palsson et al. profile →

Peers

Aarash Bordbar

PHYSI

GENET

Jamey D. Young United States

Daniel C. Zielinski United States

Defang Li China

Moinuddin Moinuddin India

Daniël J. Vis Netherlands

Zhigang Hu China

Ning Xie China

Xiangyü Li China

Mengchen Lu China

Zhen Liu China

Jamey D. Young United States

Aarash Bordbar

3.3k ×1.0

360 ×0.4

483 ×0.9

PHYSI

156 ×0.6

GENET

537 ×2.5

Citations per year, relative to Aarash Bordbar Aarash Bordbar (= 1×) peers Jamey D. Young

Countries citing papers authored by Aarash Bordbar

Since Specialization

Citations

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

Fields of papers citing papers by Aarash Bordbar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aarash Bordbar

This figure shows the co-authorship network connecting the top 25 collaborators of Aarash Bordbar. A scholar is included among the top collaborators of Aarash Bordbar 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 Aarash Bordbar. Aarash Bordbar 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

Nemkov, Travis, Davide Stefanoni, Aarash Bordbar, et al.. (2020). Blood donor exposome and impact of common drugs on red blood cell metabolism. JCI Insight. 6(3). 58 indexed citations

Nemkov, Travis, Davide Stefanoni, Aarash Bordbar, et al.. (2020). Blood Donor Exposome and Impact of Common Drugs on Red Blood Cell Metabolism. SSRN Electronic Journal. 3 indexed citations

Yurkovich, James T., Aarash Bordbar, Ólafur E. Sigurjónsson, & Bernhard Ø. Palsson. (2018). Systems biology as an emerging paradigm in transfusion medicine. BMC Systems Biology. 12(1). 31–31. 10 indexed citations

Guo, Yuelong, Michael P. Busch, Mark Seielstad, et al.. (2018). Development and evaluation of a transfusion medicine genome wide genotyping array. Transfusion. 59(1). 101–111. 26 indexed citations

Yurkovich, James T., Daniel C. Zielinski, Laurence Yang, et al.. (2017). Quantitative time-course metabolomics in human red blood cells reveal the temperature dependence of human metabolic networks. Journal of Biological Chemistry. 292(48). 19556–19564. 45 indexed citations

Zielinski, Daniel C., et al.. (2017). Systems biology analysis of drivers underlying hallmarks of cancer cell metabolism. Scientific Reports. 7(1). 41241–41241. 76 indexed citations

Bordbar, Aarash, James T. Yurkovich, Giuseppe Paglia, et al.. (2017). Elucidating dynamic metabolic physiology through network integration of quantitative time-course metabolomics. Scientific Reports. 7(1). 46249–46249. 94 indexed citations

Mih, Nathan, Elizabeth Brunk, Aarash Bordbar, & Bernhard Ø. Palsson. (2016). A Multi-scale Computational Platform to Mechanistically Assess the Effect of Genetic Variation on Drug Responses in Human Erythrocyte Metabolism. PLoS Computational Biology. 12(7). e1005039–e1005039. 11 indexed citations

Ebrahim, Ali, Elizabeth Brunk, Justin Tan, et al.. (2016). Multi-omic data integration enables discovery of hidden biological regularities. Nature Communications. 7(1). 13091–13091. 119 indexed citations

10.

Zielinski, Daniel C., Fabian V. Filipp, Aarash Bordbar, et al.. (2015). Pharmacogenomic and clinical data link non-pharmacokinetic metabolic dysregulation to drug side effect pathogenesis. Nature Communications. 6(1). 7101–7101. 32 indexed citations

11.

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

12.

Thomas, Alex, Sorena Rahmanian, Aarash Bordbar, Bernhard Ø. Palsson, & Neema Jamshidi. (2014). Network reconstruction of platelet metabolism identifies metabolic signature for aspirin resistance. Scientific Reports. 4(1). 3925–3925. 36 indexed citations

13.

Nam, Hojung, Miguel A. Campodonico, Aarash Bordbar, et al.. (2014). A Systems Approach to Predict Oncometabolites via Context-Specific Genome-Scale Metabolic Networks. PLoS Computational Biology. 10(9). e1003837–e1003837. 55 indexed citations

14.

Bordbar, Aarash, Harish Nagarajan, Nathan E. Lewis, et al.. (2014). Minimal metabolic pathway structure is consistent with associated biomolecular interactions. Molecular Systems Biology. 10(7). 737–737. 33 indexed citations

15.

Thiele, Ines, Ronan M. T. Fleming, Richard Que, et al.. (2012). Multiscale Modeling of Metabolism and Macromolecular Synthesis in E. coli and Its Application to the Evolution of Codon Usage. PLoS ONE. 7(9). e45635–e45635. 87 indexed citations

16.

Bordbar, Aarash & Bernhard Ø. Palsson. (2011). Using the reconstructed genome‐scale human metabolic network to study physiology and pathology. Journal of Internal Medicine. 271(2). 131–141. 86 indexed citations

17.

Bordbar, Aarash, Neema Jamshidi, & Bernhard Ø. Palsson. (2011). iAB-RBC-283: A proteomically derived knowledge-base of erythrocyte metabolism that can be used to simulate its physiological and patho-physiological states. BMC Systems Biology. 5(1). 110–110. 89 indexed citations

18.

Bordbar, Aarash, et al.. (2011). A multi-tissue type genome-scale metabolic network for analysis of whole-body systems physiology. BMC Systems Biology. 5(1). 180–180. 136 indexed citations

19.

Lewis, Nathan E., Gunnar Schramm, Aarash Bordbar, et al.. (2010). Large-scale in silico modeling of metabolic interactions between cell types in the human brain. Nature Biotechnology. 28(12). 1279–1285. 197 indexed citations

20.

Bordbar, Aarash, Nathan E. Lewis, Jan Schellenberger, Bernhard Ø. Palsson, & Neema Jamshidi. (2010). Insight into human alveolar macrophage and M. tuberculosis interactions via metabolic reconstructions. Molecular Systems Biology. 6(1). 422–422. 202 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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