Iman Famili

4.7k total citations · 1 hit paper
15 papers, 2.5k citations indexed

About

Iman Famili is a scholar working on Molecular Biology, Biomedical Engineering and Environmental Engineering. According to data from OpenAlex, Iman Famili has authored 15 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Biomedical Engineering and 1 paper in Environmental Engineering. Recurrent topics in Iman Famili's work include Microbial Metabolic Engineering and Bioproduction (12 papers), Bioinformatics and Genomic Networks (6 papers) and Biofuel production and bioconversion (5 papers). Iman Famili is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (12 papers), Bioinformatics and Genomic Networks (6 papers) and Biofuel production and bioconversion (5 papers). Iman Famili collaborates with scholars based in United States, Denmark and Canada. Iman Famili's co-authors include Bernhard Ø. Palsson, Jochen Förster, Jens Nielsen, Markus W. Covert, Christophe H. Schilling, Jennifer L. Reed, Jeremy S. Edwards, Ines Thiele, George M. Church and Igor Goryanin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Reviews Genetics and Trends in Biochemical Sciences.

In The Last Decade

Iman Famili

15 papers receiving 2.4k citations

Hit Papers

Genome-Scale Reconstruction of the Saccharomyces cerevisi... 2003 2026 2010 2018 2003 250 500 750
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.

  1. Genome-Scale Reconstruction of the Saccharomyces cerevisiae Metabolic Network
    2003 788 citations Jochen Förster, Iman Famili et al. Genome Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iman Famili United States 15 2.3k 780 129 86 72 15 2.5k
Jan Schellenberger United States 13 2.7k 1.2× 986 1.3× 208 1.6× 106 1.2× 135 1.9× 16 2.9k
Monica L. Mo United States 8 2.1k 0.9× 588 0.8× 120 0.9× 138 1.6× 67 0.9× 8 2.3k
Daniel C. Zielinski United States 18 2.3k 1.0× 817 1.0× 180 1.4× 93 1.1× 108 1.5× 45 2.6k
Brett G. Olivier Netherlands 22 1.6k 0.7× 418 0.5× 100 0.8× 55 0.6× 59 0.8× 46 1.8k
Sorena Rahmanian United States 5 1.4k 0.6× 559 0.7× 104 0.8× 36 0.4× 63 0.9× 7 1.5k
Stephan Noack Germany 30 2.4k 1.0× 1.2k 1.5× 282 2.2× 40 0.5× 94 1.3× 115 3.0k
Katharina Nöh Germany 26 1.9k 0.8× 438 0.6× 117 0.9× 43 0.5× 66 0.9× 83 2.2k
Nikolaus Sonnenschein Denmark 20 1.3k 0.6× 503 0.6× 119 0.9× 28 0.3× 36 0.5× 39 1.5k
Aristos Aristidou United States 18 1.9k 0.8× 1.1k 1.4× 175 1.4× 17 0.2× 97 1.3× 23 2.2k
Ali R. Zomorrodi United States 16 1.2k 0.5× 457 0.6× 146 1.1× 20 0.2× 71 1.0× 23 1.4k

Countries citing papers authored by Iman Famili

Since Specialization
Citations

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

Fields of papers citing papers by Iman Famili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iman Famili

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

All Works

15 of 15 papers shown
1.
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
2.
Sun, Jun, Jessica Butler, Priti Pharkya, et al.. (2009). Genome-scale constraint-based modeling of Geobacter metallireducens. BMC Systems Biology. 3(1). 15–15. 57 indexed citations
3.
Reed, Jennifer L., Iman Famili, Ines Thiele, & Bernhard Ø. Palsson. (2006). Towards multidimensional genome annotation. Nature Reviews Genetics. 7(2). 130–141. 269 indexed citations
4.
Mahadevan, Radhakrishnan, et al.. (2005). Applications of metabolic modeling to drive bioprocess development for the production of value-added chemicals. Biotechnology and Bioprocess Engineering. 10(5). 408–417. 29 indexed citations
5.
Famili, Iman, Radhakrishnan Mahadevan, & Bernhard Ø. Palsson. (2004). k-Cone Analysis: Determining All Candidate Values for Kinetic Parameters on a Network Scale. Biophysical Journal. 88(3). 1616–1625. 55 indexed citations
6.
Famili, Iman, et al.. (2004). Monte Carlo sampling can be used to determine the size and shape of the steady-state flux space. Journal of Theoretical Biology. 228(4). 437–447. 96 indexed citations
7.
Famili, Iman & Bernhard Ø. Palsson. (2003). The Convex Basis of the Left Null Space of the Stoichiometric Matrix Leads to the Definition of Metabolically Meaningful Pools. Biophysical Journal. 85(1). 16–26. 60 indexed citations
8.
Price, Nathan D., Jennifer L. Reed, Jason A. Papin, Iman Famili, & Bernhard Ø. Palsson. (2003). Analysis of Metabolic Capabilities Using Singular Value Decomposition of Extreme Pathway Matrices. Biophysical Journal. 84(2). 794–804. 47 indexed citations
9.
Famili, Iman & Bernhard Ø. Palsson. (2003). Systemic metabolic reactions are obtained by singular value decomposition of genome-scale stoichiometric matrices. Journal of Theoretical Biology. 224(1). 87–96. 30 indexed citations
10.
Covert, Markus W., Iman Famili, & Bernhard Ø. Palsson. (2003). Identifying constraints that govern cell behavior: a key to converting conceptual to computational models in biology?. Biotechnology and Bioengineering. 84(7). 763–772. 63 indexed citations
11.
Förster, Jochen, Iman Famili, Bernhard Ø. Palsson, & Jens Nielsen. (2003). Large-Scale Evaluation of In Silico Gene Deletions in Saccharomyces cerevisiae. OMICS A Journal of Integrative Biology. 7(2). 193–202. 111 indexed citations
12.
Förster, Jochen, et al.. (2003). Genome-Scale Reconstruction of the Saccharomyces cerevisiae Metabolic Network. Genome Research. 13(2). 244–253. 788 indexed citations breakdown →
13.
Famili, Iman, Jochen Förster, Jens Nielsen, & Bernhard Ø. Palsson. (2003). Saccharomyces cerevisiae phenotypes can be predicted by using constraint-based analysis of a genome-scale reconstructed metabolic network. Proceedings of the National Academy of Sciences. 100(23). 13134–13139. 269 indexed citations
14.
Schilling, Christophe H., Markus W. Covert, Iman Famili, et al.. (2002). Genome-Scale Metabolic Model of Helicobacter pylori 26695. Journal of Bacteriology. 184(16). 4582–4593. 254 indexed citations
15.
Covert, Markus W., Christophe H. Schilling, Iman Famili, et al.. (2001). Metabolic modeling of microbial strains in silico. Trends in Biochemical Sciences. 26(3). 179–186. 231 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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