Anu Raghunathan

1.1k total citations
18 papers, 687 citations indexed

About

Anu Raghunathan is a scholar working on Molecular Biology, Genetics and Biotechnology. According to data from OpenAlex, Anu Raghunathan has authored 18 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Biotechnology. Recurrent topics in Anu Raghunathan's work include Microbial Metabolic Engineering and Bioproduction (10 papers), Bacterial Genetics and Biotechnology (4 papers) and Bioinformatics and Genomic Networks (4 papers). Anu Raghunathan is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (10 papers), Bacterial Genetics and Biotechnology (4 papers) and Bioinformatics and Genomic Networks (4 papers). Anu Raghunathan collaborates with scholars based in India, United States and United Kingdom. Anu Raghunathan's co-authors include Bernhard Ø. Palsson, Simon Daefler, Christiane Honisch, Dirk van den Boom, Charles R. Cantor, Christopher D. Herring, Frederick R. Blattner, Andrew R. Joyce, Thomas J. Albert and Jennifer L. Reed and has published in prestigious journals such as Nature Genetics, PLoS ONE and Biochemistry.

In The Last Decade

Anu Raghunathan

18 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anu Raghunathan India 11 541 251 104 55 45 18 687
Ana Yepes Germany 12 330 0.6× 140 0.6× 40 0.4× 67 1.2× 19 0.4× 14 483
Kinga Umenhoffer Hungary 7 797 1.5× 515 2.1× 70 0.7× 161 2.9× 19 0.4× 7 926
Kumari Sonal Choudhary United States 12 476 0.9× 179 0.7× 45 0.4× 74 1.3× 27 0.6× 16 573
Stephanie T. Stengel Germany 6 274 0.5× 94 0.4× 47 0.5× 104 1.9× 15 0.3× 8 489
Devon M. Fitzgerald United States 12 463 0.9× 390 1.6× 30 0.3× 108 2.0× 46 1.0× 19 697
Ayako Kori Japan 9 442 0.8× 371 1.5× 21 0.2× 131 2.4× 39 0.9× 12 593
Ewan J. Murray United Kingdom 11 434 0.8× 169 0.7× 21 0.2× 123 2.2× 42 0.9× 15 545
Connor A. Olson United States 16 847 1.6× 542 2.2× 94 0.9× 258 4.7× 31 0.7× 26 1.0k
Carolyn M. Southward Canada 7 408 0.8× 244 1.0× 40 0.4× 100 1.8× 72 1.6× 7 623
R. Jayaraman India 14 477 0.9× 285 1.1× 32 0.3× 123 2.2× 30 0.7× 38 734

Countries citing papers authored by Anu Raghunathan

Since Specialization
Citations

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

Fields of papers citing papers by Anu Raghunathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anu Raghunathan

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

All Works

18 of 18 papers shown
1.
Ghanate, Avinash, et al.. (2021). Integrated genetic and metabolic landscapes predict vulnerabilities of temozolomide resistant glioblastoma cells. npj Systems Biology and Applications. 7(1). 2–2. 7 indexed citations
2.
Sengupta, Durba & Anu Raghunathan. (2021). Rise of the Superbugs: What We Need to Know. Resonance. 26(9). 1251–1266. 3 indexed citations
3.
Banerjee, Deepanwita & Anu Raghunathan. (2019). Constraints-based analysis identifies NAD+ recycling through metabolic reprogramming in antibiotic resistant Chromobacterium violaceum. PLoS ONE. 14(1). e0210008–e0210008. 14 indexed citations
4.
Banerjee, Deepanwita, et al.. (2018). Integrated constraints based analysis of an engineered violacein pathway in Escherichia coli. Biosystems. 171. 10–19. 10 indexed citations
5.
Banerjee, Deepanwita & Anu Raghunathan. (2018). Knowledge, Attitude and Practice of Antibiotic Use and Antimicrobial Resistance:A Study Post the ‘Red Line’ Initiative. Current Science. 114(9). 1866–1866. 6 indexed citations
6.
Ravindranathan, Sapna, et al.. (2018). Absolute quantitation of poly(R)-3-hydroxybutyric acid using spectrofluorometry in recombinant Escherichia coli. Biology Methods and Protocols. 3(1). bpy007–bpy007. 8 indexed citations
7.
Raghunathan, Anu & Neema Jamshidi. (2017). Integrated Host-Pathogen Metabolic Reconstructions. Methods in molecular biology. 1716. 197–217. 2 indexed citations
8.
Banerjee, Deepanwita, et al.. (2017). A scalable metabolite supplementation strategy against antibiotic resistant pathogen Chromobacterium violaceum induced by NAD+/NADH+ imbalance. BMC Systems Biology. 11(1). 51–51. 19 indexed citations
9.
Ghanate, Avinash, et al.. (2017). Integrative analysis of rewired central metabolism in temozolomide resistant cells. Biochemical and Biophysical Research Communications. 495(2). 2010–2016. 7 indexed citations
10.
Jamshidi, Neema & Anu Raghunathan. (2015). Cell scale host-pathogen modeling: another branch in the evolution of constraint-based methods. Frontiers in Microbiology. 6. 1032–1032. 10 indexed citations
11.
Raghunathan, Anu, et al.. (2014). Investigating Host–Pathogen Behavior and Their Interaction Using Genome-Scale Metabolic Network Models. Methods in molecular biology. 1184. 523–562. 10 indexed citations
12.
Hartman, Hassan, David A. Fell, Sergio Rossell, et al.. (2014). Identification of potential drug targets in Salmonella enterica sv. Typhimurium using metabolic modelling and experimental validation. Microbiology. 160(6). 1252–1266. 37 indexed citations
13.
14.
Raghunathan, Anu, et al.. (2009). Constraint-based analysis of metabolic capacity of Salmonella typhimurium during host-pathogen interaction. BMC Systems Biology. 3(1). 38–38. 131 indexed citations
15.
16.
Herring, Christopher D., Anu Raghunathan, Christiane Honisch, et al.. (2006). Comparative genome sequencing of Escherichia coli allows observation of bacterial evolution on a laboratory timescale. Nature Genetics. 38(12). 1406–1412. 292 indexed citations
17.
Honisch, Christiane, Anu Raghunathan, Charles R. Cantor, Bernhard Ø. Palsson, & Dirk van den Boom. (2004). High-throughput mutation detection underlying adaptive evolution of Escherichia coli-K12. Genome Research. 14(12). 2495–2502. 30 indexed citations
18.
Raghunathan, Anu, Nathan D. Price, Michael Y. Galperin, et al.. (2004). In Silico Metabolic Model and Protein Expression of Haemophilus influenzae Strain Rd KW20 in Rich Medium. OMICS A Journal of Integrative Biology. 8(1). 25–41. 38 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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