Aditya Krishnakumar

727 citations
3 papers · 417 · 1 hit paper · h-index 3

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Bioinformatics and Genomic Networks
    • Machine Learning in Bioinformatics
    • Microbial Metabolic Engineering and Bioproduction
    • RNA Research and Splicing

Papers in

    • RNA and protein synthesis mechanisms 2
    • Bioinformatics and Genomic Networks 2
    • Fungal and yeast genetics research 1
    • RNA Research and Splicing 1
    • Machine Learning in Bioinformatics 1
    • Genomics and Phylogenetic Studies 1
    • Toxin Mechanisms and Immunotoxins 1

Aditya Krishnakumar

3 papers receiving 405 citations

Aditya Krishnakumar's Hit Papers

Computed structures of core eukaryotic protein complexes 2021 · 362 citations
3620+1+3Years since publication100200300

Peers

Aditya Krishnakumar
Comparison fields: 5 of 69
  • Structural Biology 8
  • Molecular Biology 328
  • Aging 5
  • Computational Theory and Mathematics 43
  • Materials Chemistry 72
Replace Daniel J. Barrero with:
Daniel J. Barrero United States
Saket Rahul Bagde United States
Taiasean Wu United States
Casper A. Goverde Switzerland
Alessio Del Conte Italy
Andrew Muenks United States
Nicolás S. González Foutel Argentina
Damiano Cianferoni Spain
Vesna Olivieri Switzerland
Parthasarathy Sampathkumar United States
Aditya Krishnakumar relative to Daniel J. Barrero United States Daniel J. Barrero's profile →
Citations per field
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Daniel J. Barrero · 1×
Citations per year

Countries citing papers authored by Aditya Krishnakumar

Since Specialization
Citations

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

Fields of papers citing papers by Aditya Krishnakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Aditya Krishnakumar, 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 Aditya Krishnakumar Line = papers co-authored together Aditya Krishnakumar links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Computed structures of core eukaryotic protein complexes
Hit paper breakdown →
2021362
2 202438
3 202417

About Aditya Krishnakumar

Aditya Krishnakumar is a scholar working on Molecular Biology, Immunology, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 3 papers that have together received 417 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (2 papers), Bioinformatics and Genomic Networks (2 papers), Toxin Mechanisms and Immunotoxins (1 paper), Fungal and yeast genetics research (1 paper), RNA Research and Splicing (1 paper), Machine Learning in Bioinformatics (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Structural Biology (8 citations), Molecular Biology (328 citations), Aging (5 citations), Computational Theory and Mathematics (43 citations) and Materials Chemistry (72 citations). Aditya Krishnakumar has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include David Baker, Asim K. Bera, Alex Kang, Wei Chen, Robert J. Ragotte, Green Ahn, Inna Goreshnik, Brian Koepnick, Mariana Garcia Sanchez and Brian Coventry. Their work appears in journals such as Science and Nature Microbiology.

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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