Arvind K. Chavali

2.5k total citations
17 papers, 1.0k citations indexed

About

Arvind K. Chavali is a scholar working on Molecular Biology, Biomedical Engineering and Immunology. According to data from OpenAlex, Arvind K. Chavali has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Biomedical Engineering and 3 papers in Immunology. Recurrent topics in Arvind K. Chavali's work include Microbial Metabolic Engineering and Bioproduction (9 papers), Gene Regulatory Network Analysis (5 papers) and Biofuel production and bioconversion (4 papers). Arvind K. Chavali is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (9 papers), Gene Regulatory Network Analysis (5 papers) and Biofuel production and bioconversion (4 papers). Arvind K. Chavali collaborates with scholars based in United States, France and Mexico. Arvind K. Chavali's co-authors include Jason A. Papin, Seung Y. Rhee, Erwin P. Gianchandani, James A. Eddy, Tae Hyong Kim, Chuan Wang, Richard D. Pearson, Lee Chae, Michael Banf and Kate Dreher and has published in prestigious journals such as The Journal of Immunology, PLANT PHYSIOLOGY and Nature Methods.

In The Last Decade

Arvind K. Chavali

17 papers receiving 989 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arvind K. Chavali United States 14 721 162 130 103 94 17 1.0k
J. Brandão-Neto United Kingdom 18 729 1.0× 65 0.4× 135 1.0× 37 0.4× 54 0.6× 55 1.1k
Chia-I Liu Taiwan 11 622 0.9× 126 0.8× 47 0.4× 96 0.9× 34 0.4× 13 891
David Shiuan Taiwan 19 527 0.7× 60 0.4× 65 0.5× 51 0.5× 65 0.7× 55 921
Anne Morgat Switzerland 15 1.1k 1.5× 205 1.3× 156 1.2× 79 0.8× 17 0.2× 24 1.4k
Matthew Oberhardt United States 17 1.5k 2.1× 479 3.0× 87 0.7× 52 0.5× 100 1.1× 33 1.8k
Balázs Szappanos Hungary 15 824 1.1× 127 0.8× 56 0.4× 96 0.9× 42 0.4× 22 1.3k
Richard A. Notebaart Netherlands 21 1.0k 1.4× 214 1.3× 62 0.5× 16 0.2× 65 0.7× 43 1.3k
Iain A. Murray United Kingdom 16 808 1.1× 41 0.3× 114 0.9× 84 0.8× 79 0.8× 30 1.2k
Jennifer Geddes‐McAlister Canada 18 481 0.7× 52 0.3× 230 1.8× 97 0.9× 337 3.6× 76 1.2k

Countries citing papers authored by Arvind K. Chavali

Since Specialization
Citations

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

Fields of papers citing papers by Arvind K. Chavali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arvind K. Chavali. 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 Arvind K. Chavali. The network helps show where Arvind K. Chavali may publish in the future.

Co-authorship network of co-authors of Arvind K. Chavali

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

All Works

17 of 17 papers shown
1.
Chavali, Arvind K., et al.. (2018). NF-κB-Chromatin Interactions Drive Diverse Phenotypes by Modulating Transcriptional Noise. Cell Reports. 22(3). 585–599. 37 indexed citations
2.
Chavali, Arvind K., et al.. (2018). Frugal Innovation in Bioengineering for the Detection of Infectious Diseases. 5 indexed citations
3.
Schläpfer, Pascal, Peifen Zhang, Chuan Wang, et al.. (2017). Genome-Wide Prediction of Metabolic Enzymes, Pathways, and Gene Clusters in Plants. PLANT PHYSIOLOGY. 173(4). 2041–2059. 253 indexed citations
4.
Chavali, Arvind K. & Seung Y. Rhee. (2017). Bioinformatics tools for the identification of gene clusters that biosynthesize specialized metabolites. Briefings in Bioinformatics. 19(5). 1022–1034. 84 indexed citations
5.
Chavali, Arvind K., et al.. (2015). Distinct promoter activation mechanisms modulate noise-driven HIV gene expression. Scientific Reports. 5(1). 17661–17661. 16 indexed citations
6.
Chavali, Arvind K., et al.. (2015). A passive-flow microfluidic device for imaging latent HIV activation dynamics in single T cells. Integrative Biology. 7(9). 998–1010. 20 indexed citations
7.
Blais, Edik M., Arvind K. Chavali, & Jason A. Papin. (2013). Linking Genome-Scale Metabolic Modeling and Genome Annotation. Methods in molecular biology. 985. 61–83. 7 indexed citations
8.
Chavali, Arvind K., et al.. (2012). Metabolic network analysis predicts efficacy of FDA-approved drugs targeting the causative agent of a neglected tropical disease. BMC Systems Biology. 6(1). 27–27. 35 indexed citations
9.
Chavali, Arvind K., et al.. (2012). A metabolic network approach for the identification and prioritization of antimicrobial drug targets. Trends in Microbiology. 20(3). 113–123. 76 indexed citations
10.
Gabhann, Feilim Mac, Arvind K. Chavali, Erwin P. Gianchandani, et al.. (2010). Systems Analysis of Small Signaling Modules Relevant to Eight Human Diseases. Annals of Biomedical Engineering. 39(2). 621–635. 10 indexed citations
11.
Gianchandani, Erwin P., Arvind K. Chavali, & Jason A. Papin. (2009). The application of flux balance analysis in systems biology. WIREs Systems Biology and Medicine. 2(3). 372–382. 107 indexed citations
12.
Roberts, Seth B., Arvind K. Chavali, Patrício Manque, et al.. (2009). Proteomic and network analysis characterize stage-specific metabolism in Trypanosoma cruzi. BMC Systems Biology. 3(1). 52–52. 32 indexed citations
13.
Oberhardt, Matthew, Arvind K. Chavali, & Jason A. Papin. (2009). Flux Balance Analysis: Interrogating Genome-Scale Metabolic Networks. Methods in molecular biology. 500. 61–80. 53 indexed citations
14.
Manichaikul, Ani, Lila Ghamsari, Erik Hom, et al.. (2009). Metabolic network analysis integrated with transcript verification for sequenced genomes. Nature Methods. 6(8). 589–592. 70 indexed citations
15.
Flanagan, Ken, Zora Modrušan, Jennine Cornelius, et al.. (2008). Intestinal Epithelial Cell Up-Regulation of LY6 Molecules during Colitis Results in Enhanced Chemokine Secretion. The Journal of Immunology. 180(6). 3874–3881. 29 indexed citations
16.
Chavali, Arvind K., et al.. (2008). Systems analysis of metabolism in the pathogenic trypanosomatid Leishmania major. Molecular Systems Biology. 4(1). 177–177. 108 indexed citations
17.
Chavali, Arvind K., Erwin P. Gianchandani, Kenneth S. K. Tung, et al.. (2008). Characterizing emergent properties of immunological systems with multi-cellular rule-based computational modeling. Trends in Immunology. 29(12). 589–599. 63 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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