Arjun Ravikumar

614 citations
6 papers · 455 · h-index 6

Impact in

    • Microbial Metabolic Engineering and Bioproduction
    • Enzyme Catalysis and Immobilization
    • CRISPR and Genetic Engineering
    • Gene Regulatory Network Analysis
    • Fungal and yeast genetics research
    • RNA and protein synthesis mechanisms
    • Evolution and Genetic Dynamics

Papers in

    • Evolution and Genetic Dynamics 5
    • Microbial Metabolic Engineering and Bioproduction 3
    • RNA and protein synthesis mechanisms 2
    • CRISPR and Genetic Engineering 2
    • Fungal and yeast genetics research 2
    • Enzyme Catalysis and Immobilization 1

Arjun Ravikumar

6 papers receiving 446 citations

Peers

Arjun Ravikumar
Comparison fields: 5 of 35
  • Molecular Biology 398
  • Genetics 119
  • Biotechnology 10
  • Radiology, Nuclear Medicine and Imaging 18
  • Endocrinology 2
Replace Garri A. Arzumanyan with:
Garri A. Arzumanyan United States
Gordon Rix United States
Kajetan Bentele Germany
Florence Constantinesco‐Becker France
Heidi Winterberg Andersen Denmark
Jacques Le Dérout France
Takuzì Itoh Japan
Nathaniel L. Hepowit United States
Mara C. Inniss United States
Conor James McClune United States
Arjun Ravikumar relative to Garri A. Arzumanyan United States Garri A. Arzumanyan's profile →
Citations per field
00.5×1.5×1.9×
Garri A. Arzumanyan · 1×
Citations per year

Countries citing papers authored by Arjun Ravikumar

Since Specialization
Citations

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

Fields of papers citing papers by Arjun Ravikumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Arjun Ravikumar, 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 Arjun Ravikumar Line = papers co-authored together Arjun Ravikumar links everyone, so they are left out of the graph.

All Works

About Arjun Ravikumar

Arjun Ravikumar is a scholar working on Genetics, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 6 papers that have together received 455 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (5 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), RNA and protein synthesis mechanisms (2 papers), CRISPR and Genetic Engineering (2 papers), Fungal and yeast genetics research (2 papers) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Molecular Biology (398 citations), Genetics (119 citations), Biotechnology (10 citations), Radiology, Nuclear Medicine and Imaging (18 citations) and Endocrinology (2 citations). Arjun Ravikumar has collaborated with scholars based in United States. Frequent co-authors include Chang C. Liu, Garri A. Arzumanyan, Alex A. Javanpour, Adrian Arrieta, Brandon G. Wong and Ahmad S. Khalil. Their work appears in journals such as ACS Synthetic Biology, Nature Chemical Biology, ChemBioChem and Cell.

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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