Tal V. Murthy

772 citations
9 papers · 637 · h-index 7

Impact in

    • Fungal and yeast genetics research
    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Microbial Metabolic Engineering and Bioproduction
    • Bioinformatics and Genomic Networks
    • Gene Regulatory Network Analysis

Papers in

    • Fungal and yeast genetics research 3
    • Advanced Biosensing Techniques and Applications 2
    • RNA and protein synthesis mechanisms 2
    • Bacillus and Francisella bacterial research 1
    • Microbial Metabolic Engineering and Bioproduction 1
    • Protein purification and stability 1
    • Bacteriophages and microbial interactions 3

Tal V. Murthy

9 papers receiving 628 citations

Peers

Tal V. Murthy
Comparison fields: 5 of 62
  • Molecular Biology 560
  • Aging 8
  • Endocrinology 18
  • Molecular Medicine 15
  • Genetics 76
Replace Michael Schantz Klausen with:
Michael Schantz Klausen Denmark
István Reményi Hungary
Marcin Feder Poland
A. I. Gragerov Russia
Christophe Velours France
Michael McConnell United States
Javin P. Oza United States
Oxana Pogoutse Canada
A. Krupa India
Han Ting Chou United States
Tal V. Murthy relative to Michael Schantz Klausen Denmark Michael Schantz Klausen's profile →
Citations per field
00.5×2×2.7×
Michael Schantz Klausen · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Tal V. Murthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tal V. Murthy Line = papers co-authored together Tal V. Murthy links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2009331
2 2001122
3 200473
4 200440
5 200534
6 200721
7 20117
8 20005
9 20044

About Tal V. Murthy

Tal V. Murthy is a scholar working on Molecular Biology, Ecology, Genetics, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 637 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (3 papers), Bacterial Genetics and Biotechnology (3 papers), Bacteriophages and microbial interactions (3 papers), Advanced Biosensing Techniques and Applications (2 papers), RNA and protein synthesis mechanisms (2 papers), Bacillus and Francisella bacterial research (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Molecular Biology (560 citations), Aging (8 citations), Endocrinology (18 citations), Molecular Medicine (15 citations) and Genetics (76 citations). Tal V. Murthy has collaborated with scholars based in United States and India. Frequent co-authors include Paike Jayadeva Bhat, Joshua LaBaer, Zhenwei Shi, Yanhui Hu, Andreas Rolfs, Marcin Pacek, Michael F. Berger, Kelsey J.R.P. Byers, Leonardo Brizuela and Cong Zhu. Their work appears in journals such as Genome Research, Protein Expression and Purification, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences and Biotechnology Letters.

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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