Tal V. Murthy

770 total citations
9 papers, 618 citations indexed

About

Tal V. Murthy is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Tal V. Murthy has authored 9 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Ecology and 3 papers in Genetics. Recurrent topics in Tal V. Murthy's work include Bacteriophages and microbial interactions (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Fungal and yeast genetics research (3 papers). Tal V. Murthy is often cited by papers focused on Bacteriophages and microbial interactions (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Fungal and yeast genetics research (3 papers). Tal V. Murthy collaborates with scholars based in United States and India. Tal V. Murthy's co-authors include Paike Jayadeva Bhat, Joshua LaBaer, Zhenwei Shi, Andreas Rolfs, Yanhui Hu, Cong Zhu, Federico De Masi, Martha L. Bulyk, Kelsey J.R.P. Byers and Rachel Patton McCord and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Tal V. Murthy

9 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tal V. Murthy United States	7	561	81	54	44	41	9	618
Robbert J. de Haas Netherlands	9	249 0.4×	51 0.6×	58 1.1×	23 0.5×	68 1.7×	15	424
Hans-Joachim Höltke United States	9	350 0.6×	100 1.2×	76 1.4×	19 0.4×	19 0.5×	11	474
Phu Nguyen Le Minh Belgium	10	366 0.7×	128 1.6×	28 0.5×	26 0.6×	22 0.5×	11	474
Shamik S. Sharma United States	7	607 1.1×	320 4.0×	45 0.8×	31 0.7×	64 1.6×	7	698
Paulo S. R. Coelho Brazil	8	542 1.0×	74 0.9×	101 1.9×	20 0.5×	32 0.8×	14	635
Kristen E. DeMeester United States	13	325 0.6×	104 1.3×	20 0.4×	31 0.7×	38 0.9×	20	532
Tony Ferrar Spain	10	399 0.7×	60 0.7×	96 1.8×	19 0.4×	29 0.7×	14	544
Simon R. Haseley United Kingdom	18	364 0.6×	27 0.3×	55 1.0×	69 1.6×	29 0.7×	28	659
Virginie Cogez France	13	219 0.4×	46 0.6×	115 2.1×	22 0.5×	28 0.7×	21	398
Michael R. Schlittler United States	10	503 0.9×	39 0.5×	79 1.5×	84 1.9×	55 1.3×	15	603

Countries citing papers authored by Tal V. Murthy

Since Specialization

Citations

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

Fields of papers citing papers by Tal V. Murthy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tal V. Murthy. 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 Tal V. Murthy. The network helps show where Tal V. Murthy may publish in the future.

Co-authorship network of co-authors of Tal V. Murthy

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

All Works

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9 of 9 papers shown

Murthy, Tal V., et al.. (2011). Adding Precise Nanoliter Volume Capabilities to Liquid-Handling Automation for Compound Screening Experimentation. JALA Journal of the Association for Laboratory Automation. 16(3). 221–228. 6 indexed citations

Zhu, Cong, Kelsey J.R.P. Byers, Rachel Patton McCord, et al.. (2009). High-resolution DNA-binding specificity analysis of yeast transcription factors. Genome Research. 19(4). 556–566. 322 indexed citations

Murthy, Tal V., Andreas Rolfs, Yanhui Hu, et al.. (2007). A Full-Genomic Sequence-Verified Protein-Coding Gene Collection for Francisella tularensis. PLoS ONE. 2(6). e577–e577. 20 indexed citations

Park, Jae-Hong, Yanhui Hu, Tal V. Murthy, et al.. (2005). Building a human kinase gene repository: Bioinformatics, molecular cloning, and functional validation. Proceedings of the National Academy of Sciences. 102(23). 8114–8119. 34 indexed citations

LaBaer, Joshua, Anukanth Anumanthan, Dongmei Zuo, et al.. (2004). The Pseudomonas aeruginosa PA01 Gene Collection. Genome Research. 14(10b). 2190–2200. 72 indexed citations

Murthy, Tal V.. (2004). Expression of GST-fused kinase domain of human Csk homologous kinase from Pichia pastoris facilitates easy purification. Biotechnology Letters. 26(5). 443–449. 4 indexed citations

Murthy, Tal V., et al.. (2004). Bacterial cell-free system for high-throughput protein expression and a comparative analysis of Escherichia coli cell-free and whole cell expression systems. Protein Expression and Purification. 36(2). 217–225. 39 indexed citations

Bhat, Paike Jayadeva & Tal V. Murthy. (2001). Transcriptional control of the GAL/MEL regulon of yeast Saccharomyces cerevisiae: mechanism of galactose‐mediated signal transduction. Molecular Microbiology. 40(5). 1059–1066. 116 indexed citations

Murthy, Tal V. & Paike Jayadeva Bhat. (2000). Disruption of Galactokinase Signature Sequence in Gal3p of Saccharomyces cerevisiae Does Not Lead to Loss of Signal Transduction Function. Biochemical and Biophysical Research Communications. 273(3). 824–828. 5 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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