Faramarz Valafar

1.8k total citations
50 papers, 1.2k citations indexed

About

Faramarz Valafar is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Faramarz Valafar has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 24 papers in Infectious Diseases and 22 papers in Epidemiology. Recurrent topics in Faramarz Valafar's work include Tuberculosis Research and Epidemiology (24 papers), Mycobacterium research and diagnosis (20 papers) and Machine Learning in Bioinformatics (7 papers). Faramarz Valafar is often cited by papers focused on Tuberculosis Research and Epidemiology (24 papers), Mycobacterium research and diagnosis (20 papers) and Machine Learning in Bioinformatics (7 papers). Faramarz Valafar collaborates with scholars based in United States, South Africa and Sweden. Faramarz Valafar's co-authors include Homayoun Valafar, Laura Morris, Robert Cherniak, Timothy C. Rodwell, Donald G. Catanzaro, William E. Stumph, Andrew I. Su, Genaro Hernandez, Antonino Catanzaro and Camilla Rodrigues and has published in prestigious journals such as Nucleic Acids Research, Blood and Bioinformatics.

In The Last Decade

Faramarz Valafar

49 papers receiving 1.2k citations

Peers

Countries citing papers authored by Faramarz Valafar

Since Specialization

Citations

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

Fields of papers citing papers by Faramarz Valafar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faramarz Valafar

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Interred mechanisms of resistance and host immune evasion revealed through network-connectivity analysis of M. tuberculosis complex graph pangenome 2025 ·mSystems ·(unknown), (unknown), (unknown), (unknown), Faramarz Valafar	2
2	Widespread loss-of-function mutations implicating preexisting resistance to new or repurposed anti-tuberculosis drugs 2024 ·Drug Resistance Updates ·(unknown), (unknown), (unknown), (unknown), (unknown), Faramarz Valafar	2
3	Novel and reported compensatory mutations in rpoABC genes found in drug resistant tuberculosis outbreaks 2024 ·Frontiers in Microbiology ·(unknown), (unknown), (unknown), (unknown), Sven Hoffner, (unknown), Faramarz Valafar	3
4	Distribution of Common and Rare Genetic Markers of Second-Line-Injectable-Drug Resistance in Mycobacterium tuberculosis Revealed by a Genome-Wide Association Study 2022 ·Antimicrobial Agents and Chemotherapy ·(unknown), (unknown), (unknown), (unknown), Mikael Mansjö, Jim Werngren, Leen Rigouts, Sven Hoffner, Faramarz Valafar	8
5	Pyrazinamide Susceptibility Is Driven by Activation of the SigE-Dependent Cell Envelope Stress Response in Mycobacterium tuberculosis 2022 ·mBio ·Joshua M. Thiede, Nicholas Dillon, (unknown), (unknown), (unknown), Sven Hoffner, Faramarz Valafar, Yusuke Minato, Anthony D. Baughn	17
6	Exact mapping of Illumina blind spots in the Mycobacterium tuberculosis genome reveals platform-wide and workflow-specific biases 2021 ·Microbial Genomics ·(unknown), (unknown), Christopher A. Morrissey, (unknown), (unknown), Tal Shmaya, Faramarz Valafar	20
7	Structure-Aware Mycobacterium tuberculosis Functional Annotation Uncloaks Resistance, Metabolic, and Virulence Genes 2021 ·mSystems ·(unknown), (unknown), (unknown), (unknown), Nicholas Dillon, (unknown), (unknown), (unknown), (unknown), Anthony D. Baughn, Faramarz Valafar	10
8	Functional Connectivities Are More Informative Than Anatomical Variables in Diagnostic Classification of Autism 2019 ·Brain Connectivity ·(unknown), Afrooz Jahedi, (unknown), (unknown), Christopher Fong, (unknown), Ruth A. Carper, Faramarz Valafar, Barbara Bailey, Ralph‐Axel Müller	20
9	Genomic analysis of the emergence of drug-resistant strains of Mycobacterium tuberculosis in the Middle East 2019 ·Scientific Reports ·Essam J. Alyamani, Sarah A. Marcus, (unknown), (unknown), (unknown), Amani El‐Kholy, Daniel Spalink, Faramarz Valafar, Hussein A. Almehdar, Asif A. Jiman-Fatani, (unknown), Adel M. Talaat	12
10	SMRT genome assembly corrects reference errors, resolving the genetic basis of virulence in Mycobacterium tuberculosis 2017 ·BMC Genomics ·(unknown), (unknown), Faramarz Valafar	11
11	Modeling the structural origins of drug resistance to isoniazid via key mutations in Mycobacterium tuberculosis catalase-peroxidase, KatG 2017 ·Tuberculosis ·(unknown), Robert P. Metzger, David Hecht, Faramarz Valafar	5
12	Structure-based analysis of Bacilli and plasmid dihydrofolate reductase evolution 2016 ·Journal of Molecular Graphics and Modelling ·(unknown), (unknown), (unknown), Phuong Luong, Faramarz Valafar, Robert P. Metzger, Gary B. Fogel, David Hecht	3
13	Detection of Low-Level Mixed-Population Drug Resistance in Mycobacterium tuberculosis Using High Fidelity Amplicon Sequencing 2015 ·PLoS ONE ·Rebecca E. Colman, James M. Schupp, Nathan Hicks, (unknown), (unknown), Faramarz Valafar, Valeriu Crudu, Elena Romancenco, Ecaterina Noroc, (unknown), Donald G. Catanzaro, Timothy C. Rodwell, Antonino Catanzaro, Paul Keim, David M. Engelthaler	70
14	Bioinformatic analyses of mammalian 5'-UTR sequence properties of mRNAs predicts alternative translation initiation sites 2008 ·BMC Bioinformatics ·Jill Wegrzyn, (unknown), Faramarz Valafar, Vivian Hook	35
15	Prediction of Sickle Cell Anemia Patient's Response to Hydroxyurea Treatment Using ARTMAP Network. 2003 ·(unknown), Faramarz Valafar, Marko Vuskovic	1
16	Comparison of Three Nonparametric Density Estimation Techniques Using Bayes' Classifiers Applied to Microarray Data Analysis. 2003 ·Christopher A. Peters, Faramarz Valafar	5
17	Techniques in bioinformatics and medical informatics 2002 ·New York Academy of Sciences eBooks ·Faramarz Valafar	3
18	Datamining Protein Structure Databanks for Crystallization Patterns of Proteins 2002 ·Annals of the New York Academy of Sciences ·Homayoun Valafar, James H. Prestegard, Faramarz Valafar	4
19	Predicting the effectiveness of hydroxyurea in individual sickle cell anemia patients 2000 ·Artificial Intelligence in Medicine ·Homayoun Valafar, Faramarz Valafar, Alan Darvill, Peter Albersheim, (unknown), Kristy F. Woods, John Hardin	21
20	A PARALLEL IMPLEMENTATION OF BACKPROPAGATION NEURAL NETWORK ON MASPAR MP-1 1993 ·Purdue e-Pubs (Purdue University System) ·Faramarz Valafar, Okan K. Ersoy	5

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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