Iman Famili

4.7k citations
15 papers · 2.5k indexed · 1 hit paper · h-index 15
Topics
Microbial Metabolic Engineering and Bioproduction (12 papers)Bioinformatics and Genomic Networks (6 papers)Biofuel production and bioconversion (5 papers)

In The Last Decade

Iman Famili

15 papers receiving 2.4k citations

Hit Papers

Genome-Scale Reconstruction of the Saccharomyces cerevisi...20032026201020182003250500750

Peers

Iman Famili
Comparison fields: 5 of 106
  • Molecular Biology 2.3k
  • Biomedical Engineering 780
  • Genetics 129
  • Computational Theory and Mathematics 86
  • Control and Systems Engineering 72
Replace Jan Schellenberger with:
Jan Schellenberger United States
Daniel C. Zielinski United States
Monica L. Mo United States
Brett G. Olivier Netherlands
Katja Bettenbrock Germany
Sorena Rahmanian United States
Stephan Noack Germany
Nikolaus Sonnenschein Denmark
Aristos Aristidou United States
Wouter A. van Winden Netherlands
Iman Famili relative to Jan Schellenberger United States Jan Schellenberger's profile →
Citations per field
00.5×1.5×
Jan Schellenberger · 1×
Citations per year

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
#WorkIndexed citations
1 136
2 57
3 269
4 29
5 55
6 96
7 60
8 47
9 63
10 30
11
Genome-Scale Reconstruction of the Saccharomyces cerevisiae Metabolic Networkbreakdown →
788
12 111
13 269
14 254
15 231

About Iman Famili

Iman Famili is a scholar working on Molecular Biology, Biomedical Engineering and Building and Construction, having authored 15 papers that have together received 2.5k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (12 papers), Bioinformatics and Genomic Networks (6 papers) and Biofuel production and bioconversion (5 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Biomedical Engineering (780 citations) and Biochemistry (44 citations). Iman Famili has collaborated with scholars based in United States, Denmark and Canada. Frequent 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 E Selkov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Reviews Genetics and Trends in Biochemical Sciences.

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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