Neema Jamshidi

6.8k total citations · 1 hit paper
71 papers, 4.0k citations indexed

About

Neema Jamshidi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Neema Jamshidi has authored 71 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 17 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Physiology. Recurrent topics in Neema Jamshidi's work include Microbial Metabolic Engineering and Bioproduction (27 papers), Metabolomics and Mass Spectrometry Studies (15 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Neema Jamshidi is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (27 papers), Metabolomics and Mass Spectrometry Studies (15 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Neema Jamshidi collaborates with scholars based in United States, India and South Korea. Neema Jamshidi's co-authors include Bernhard Ø. Palsson, Ines Thiele, Monica L. Mo, Thuy D. Vo, Scott A. Becker, Rohith Srivas, Aarash Bordbar, Michael Kuo, Nathan E. Lewis and Jan Schellenberger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Neema Jamshidi

70 papers receiving 3.9k citations

Hit Papers

Global reconstruction of the human metabolic network base... 2007 2026 2013 2019 2007 250 500 750 1000

Peers

Neema Jamshidi
Ying Zhou China
Lukas Reiter United States
Hannes Röst United States
Christian Ludwig United Kingdom
Russell Weiner United States
Neema Jamshidi
Citations per year, relative to Neema Jamshidi Neema Jamshidi (= 1×) peers Mattias Rantalainen

Countries citing papers authored by Neema Jamshidi

Since Specialization
Citations

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

Fields of papers citing papers by Neema Jamshidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neema Jamshidi

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

All Works

20 of 20 papers shown
1.
Jamshidi, Neema, Łukasz Salwiński, Raju Pillai, et al.. (2024). Dysfunctional β-cell longevity in diabetes relies on energy conservation and positive epistasis. Life Science Alliance. 7(12). e202402743–e202402743.
2.
Jamshidi, Neema, et al.. (2023). Construction of a radiogenomic association map of pancreatic ductal adenocarcinoma. BMC Cancer. 23(1). 189–189. 3 indexed citations
3.
Jamshidi, Neema, et al.. (2023). Loss of the Kidney Urate Transporter, Urat1, Leads to Disrupted Redox Homeostasis in Mice. Antioxidants. 12(3). 780–780. 5 indexed citations
4.
Granados, Jeffry C., Imhoi Koo, Gary H. Perdew, et al.. (2022). AHR is a master regulator of diverse pathways in endogenous metabolism. Scientific Reports. 12(1). 16625–16625. 39 indexed citations
5.
Granados, Jeffry C., et al.. (2021). A key role for the transporter OAT1 in systemic lipid metabolism. Journal of Biological Chemistry. 296. 100603–100603. 24 indexed citations
6.
Jamshidi, Neema, Xiuling Xu, Katharina von Löhneysen, et al.. (2020). Metabolome Changes during In Vivo Red Cell Aging Reveal Disruption of Key Metabolic Pathways. iScience. 23(10). 101630–101630. 13 indexed citations
7.
Abdel‐Haleem, Alyaa M., Hooman Hefzi, Katsuhiko Mineta, et al.. (2018). Functional interrogation of Plasmodium genus metabolism identifies species- and stage-specific differences in nutrient essentiality and drug targeting. PLoS Computational Biology. 14(1). e1005895–e1005895. 26 indexed citations
8.
Raghunathan, Anu & Neema Jamshidi. (2017). Integrated Host-Pathogen Metabolic Reconstructions. Methods in molecular biology. 1716. 197–217. 2 indexed citations
9.
Yamamoto, Shota, Danshan Huang, Liutao Du, et al.. (2016). Radiogenomic Analysis Demonstrates Associations between18F-Fluoro-2-Deoxyglucose PET, Prognosis, and Epithelial-Mesenchymal Transition in Non–Small Cell Lung Cancer. Radiology. 280(1). 261–270. 31 indexed citations
10.
Jamshidi, Neema & Anu Raghunathan. (2015). Cell scale host-pathogen modeling: another branch in the evolution of constraint-based methods. Frontiers in Microbiology. 6. 1032–1032. 10 indexed citations
11.
Jamshidi, Neema, Eric Jonasch, Matthew A. Zapala, et al.. (2015). The Radiogenomic Risk Score: Construction of a Prognostic Quantitative, Noninvasive Image-based Molecular Assay for Renal Cell Carcinoma. Radiology. 277(1). 114–123. 57 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.
Jamshidi, Neema, Maximilian Diehn, Markus Bredel, & Michael Kuo. (2013). Illuminating Radiogenomic Characteristics of Glioblastoma Multiforme through Integration of MR Imaging, Messenger RNA Expression, and DNA Copy Number Variation. Radiology. 270(1). 1–2. 103 indexed citations
14.
Ahn, Sun-Young, Neema Jamshidi, Monica L. Mo, et al.. (2011). Linkage of Organic Anion Transporter-1 to Metabolic Pathways through Integrated “Omics”-driven Network and Functional Analysis. Journal of Biological Chemistry. 286(36). 31522–31531. 55 indexed citations
15.
Jamshidi, Neema & Bernhard Ø. Palsson. (2010). Mass Action Stoichiometric Simulation Models: Incorporating Kinetics and Regulation into Stoichiometric Models. Biophysical Journal. 98(2). 175–185. 93 indexed citations
16.
Jamshidi, Neema & Bernhard Ø. Palsson. (2009). Using in silico models to simulate dual perturbation experiments: procedure development and interpretation of outcomes. BMC Systems Biology. 3(1). 44–44. 10 indexed citations
17.
Mo, Monica L., Neema Jamshidi, & Bernhard Ø. Palsson. (2007). A genome-scale, constraint-based approach to systems biology of human metabolism. Molecular BioSystems. 3(9). 598–603. 47 indexed citations
18.
Kauffman, Kenneth J., J. David Pajerowski, Neema Jamshidi, Bernhard Ø. Palsson, & Jeremy S. Edwards. (2002). Description and Analysis of Metabolic Connectivity and Dynamics in the Human Red Blood Cell. Biophysical Journal. 83(2). 646–662. 45 indexed citations
19.
Jamshidi, Neema, et al.. (2001). Dynamic simulation of the human red blood cell metabolic network. Bioinformatics. 17(3). 286–287. 72 indexed citations
20.
Djordjevic, Julianne T., et al.. (1995). Expression and disulfide‐bond connectivity of the second ligand‐binding repeat of the human LDL receptor. FEBS Letters. 371(3). 341–344. 17 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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