Hooman Hefzi

1.6k total citations
18 papers, 569 citations indexed

About

Hooman Hefzi is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hooman Hefzi has authored 18 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hooman Hefzi's work include Viral Infectious Diseases and Gene Expression in Insects (13 papers), CRISPR and Genetic Engineering (11 papers) and Microbial Metabolic Engineering and Bioproduction (8 papers). Hooman Hefzi is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (13 papers), CRISPR and Genetic Engineering (11 papers) and Microbial Metabolic Engineering and Bioproduction (8 papers). Hooman Hefzi collaborates with scholars based in United States, Denmark and South Korea. Hooman Hefzi's co-authors include Nathan E. Lewis, Sulagna Ghosh, Kristin K. Baldwin, Tyler Cutforth, Stephen Larson, Helene Faustrup Kildegaard, Gyun Min Lee, Shangzhong Li, Bernhard Ø. Palsson and Lise Marie Grav and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Hooman Hefzi

17 papers receiving 565 citations

Peers

Hooman Hefzi

CMN

GENET

Neeliyath A. Ramakrishnan United States

Fabian E. Ortega United States

Ilaria Zamparo Italy

Takaaki Hirotsu Japan

Stephan Schenck Switzerland

Adriana F. Mercadante Brazil

Joyce W. Margolis United States

Luciana Gonçalves de Oliveira Brazil

Grigory Maksaev United States

Rahul Mahajan United States

Neeliyath A. Ramakrishnan United States

Hooman Hefzi

390 ×1.1

176 ×1.2

121 ×0.9

CMN

28 ×0.3

25 ×0.3

GENET

Citations per year, relative to Hooman Hefzi Hooman Hefzi (= 1×) peers Neeliyath A. Ramakrishnan

Countries citing papers authored by Hooman Hefzi

Since Specialization

Citations

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

Fields of papers citing papers by Hooman Hefzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hooman Hefzi

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

All Works

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18 of 18 papers shown

Hefzi, Hooman, Lise Marie Grav, Lasse Ebdrup Pedersen, et al.. (2024). Unraveling productivity-enhancing genes in Chinese hamster ovary cells via CRISPR activation screening using recombinase-mediated cassette exchange system. Metabolic Engineering. 87. 11–20.

Hefzi, Hooman, et al.. (2023). From observational to actionable: rethinking omics in biologics production. Trends in biotechnology. 41(9). 1127–1138. 5 indexed citations

Xiong, Kai, Hooman Hefzi, Lise Marie Grav, et al.. (2023). Identification of hyperosmotic stress-responsive genes in Chinese hamster ovary cells via genome-wide virus-free CRISPR/Cas9 screening. Metabolic Engineering. 80. 66–77. 7 indexed citations

Ha, Tae Kwang, Hooman Hefzi, Gyun Min Lee, et al.. (2022). Enhancing CHO cell productivity through a dual selection system using Aspg and Gs in glutamine free medium. Biotechnology and Bioengineering. 120(4). 1159–1166. 9 indexed citations

Shamie, Isaac, Sascha H. Duttke, Claudia Z. Han, et al.. (2021). A Chinese hamster transcription start site atlas that enables targeted editing of CHO cells. NAR Genomics and Bioinformatics. 3(3). lqab061–lqab061. 11 indexed citations

Hefzi, Hooman, Songyuan Li, Lasse Ebdrup Pedersen, et al.. (2021). A metabolic CRISPR-Cas9 screen in Chinese hamster ovary cells identifies glutamine-sensitive genes. Metabolic Engineering. 66. 114–122. 25 indexed citations

Xiong, Kai, Hooman Hefzi, Songyuan Li, et al.. (2021). An optimized genome-wide, virus-free CRISPR screen for mammalian cells. Cell Reports Methods. 1(4). 100062–100062. 20 indexed citations

Spahn, Philipp N., Xiaolin Zhang, Qing Hu, et al.. (2021). Restoration of DNA repair mitigates genome instability and increases productivity of Chinese hamster ovary cells. Biotechnology and Bioengineering. 119(3). 963–982. 14 indexed citations

Gutierrez, Jahir M., Amir Feizi, Shangzhong Li, et al.. (2020). Genome-scale reconstructions of the mammalian secretory pathway predict metabolic costs and limitations of protein secretion. Nature Communications. 11(1). 68–68. 81 indexed citations

10.

Hefzi, Hooman, Kai Xiong, Isaac Shamie, et al.. (2019). Awakening dormant glycosyltransferases in CHO cells with CRISPRa. Biotechnology and Bioengineering. 117(2). 593–598. 29 indexed citations

11.

Ley, Daniel, Lasse Ebdrup Pedersen, Johnny Arnsdorf, et al.. (2019). Reprogramming AA catabolism in CHO cells with CRISPR/Cas9 genome editing improves cell growth and reduces byproduct secretion. Metabolic Engineering. 56. 120–129. 26 indexed citations

12.

Pristovšek, Nuša, Lise Marie Grav, Hooman Hefzi, et al.. (2019). Systematic Evaluation of Site-Specific Recombinant Gene Expression for Programmable Mammalian Cell Engineering. ACS Synthetic Biology. 8(4). 758–774. 39 indexed citations

13.

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

14.

Brunk, Elizabeth, Roger L. Chang, Jing Xia, et al.. (2018). Characterizing posttranslational modifications in prokaryotic metabolism using a multiscale workflow. Proceedings of the National Academy of Sciences. 115(43). 11096–11101. 36 indexed citations

15.

Brunk, Elizabeth, Roger L. Chang, Jing Xia, et al.. (2018). Systemic Post-Translational Control of Bacterial Metabolism Regulates Adaptation in Dynamic Environments. SSRN Electronic Journal. 1 indexed citations

16.

Gutierrez, Jahir M., Hooman Hefzi, Shangzhong Li, et al.. (2016). Quantitative feature extraction from the Chinese hamster ovary bioprocess bibliome using a novel meta-analysis workflow. Biotechnology Advances. 34(5). 621–633. 33 indexed citations

17.

Hefzi, Hooman & Nathan E. Lewis. (2014). From random mutagenesis to systems biology in metabolic engineering of mammalian cells. 2(5). 355–358. 9 indexed citations

18.

Ghosh, Sulagna, et al.. (2011). Sensory maps in the olfactory cortex defined by long-range viral tracing of single neurons. Nature. 472(7342). 217–220. 198 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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