Aditya Krishnakumar

657 total citations
2 papers, 33 citations indexed

About

Aditya Krishnakumar is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Aditya Krishnakumar has authored 2 papers receiving a total of 33 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Immunology and 0 papers in Infectious Diseases. Recurrent topics in Aditya Krishnakumar's work include Bioinformatics and Genomic Networks (1 paper), RNA and protein synthesis mechanisms (1 paper) and RNA Research and Splicing (1 paper). Aditya Krishnakumar is often cited by papers focused on Bioinformatics and Genomic Networks (1 paper), RNA and protein synthesis mechanisms (1 paper) and RNA Research and Splicing (1 paper). Aditya Krishnakumar collaborates with scholars based in United States, Puerto Rico and South Korea. Aditya Krishnakumar's co-authors include David Baker, Robert J. Ragotte, Minkyung Baek, Deborah T. Hung, Brian Coventry, S. Brook Peterson, Joseph D. Mougous, Jing Zhang, M. SANCHEZ and Thulasi Warrier and has published in prestigious journals such as Science and Nature Microbiology.

In The Last Decade

Aditya Krishnakumar

2 papers receiving 33 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aditya Krishnakumar United States 2 21 6 4 4 3 2 33
Feras Almourfi Saudi Arabia 4 16 0.8× 5 0.8× 3 0.8× 4 1.0× 3 1.0× 7 30
Hélène Perée Belgium 3 14 0.7× 4 0.7× 6 1.5× 3 0.8× 4 1.3× 4 25
Emma Betteridge United Kingdom 3 17 0.8× 10 1.7× 3 0.8× 6 1.5× 3 32
Sebastian Zielinski Germany 2 30 1.4× 5 0.8× 3 0.8× 3 0.8× 2 37
Hafiz Muhammad Rehman Pakistan 4 17 0.8× 8 1.3× 1 0.3× 4 1.0× 3 1.0× 12 36
Jenny Hetzer Germany 2 16 0.8× 5 0.8× 3 0.8× 2 0.5× 3 33
Diksha Attrish India 3 29 1.4× 13 2.2× 6 1.5× 3 0.8× 4 42
Yuanyuan Bie China 3 19 0.9× 11 1.8× 4 1.0× 2 0.5× 6 26
Jacqueline Kinyamu-Akunda United States 2 19 0.9× 7 1.2× 3 0.8× 6 1.5× 4 1.3× 3 38
María Victoria Nugnes Argentina 3 26 1.2× 3 0.5× 3 0.8× 5 1.3× 5 30

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-authorship network of co-authors of Aditya Krishnakumar

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

All Works

2 of 2 papers shown
1.
Krishnakumar, Aditya, Robert J. Ragotte, Inna Goreshnik, et al.. (2024). Target-conditioned diffusion generates potent TNFR superfamily antagonists and agonists. Science. 386(6726). 1154–1161. 19 indexed citations
2.
Humphreys, Ian R., Jing Zhang, Minkyung Baek, et al.. (2024). Protein interactions in human pathogens revealed through deep learning. Nature Microbiology. 9(10). 2642–2652. 14 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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