Padmanabhan Mahadevan

37 total papers · 1.3k total citations
27 papers, 878 citations indexed

About

Padmanabhan Mahadevan is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Padmanabhan Mahadevan has authored 27 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Ecology and 5 papers in Plant Science. Recurrent topics in Padmanabhan Mahadevan's work include Genomics and Phylogenetic Studies (13 papers), Bacteriophages and microbial interactions (13 papers) and RNA and protein synthesis mechanisms (5 papers). Padmanabhan Mahadevan is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Bacteriophages and microbial interactions (13 papers) and RNA and protein synthesis mechanisms (5 papers). Padmanabhan Mahadevan collaborates with scholars based in United States, Canada and United Kingdom. Padmanabhan Mahadevan's co-authors include Donald Seto, Andrew M. Kropinski, Rob Lavigne, Hans-W. Ackermann, Hans W. Ackermann, Anders Nilsson, Paul Darius, Elizabeth J. Summer, Dann Turner and Darren M. Reynolds and has published in prestigious journals such as PLoS ONE, Sensors and Virology.

In The Last Decade

Padmanabhan Mahadevan

26 papers receiving 867 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Padmanabhan Mahadevan 708 482 231 227 150 27 878
Moïra B. Dion 733 1.0× 485 1.0× 185 0.8× 186 0.8× 118 0.8× 15 898
Matthew Dunne 789 1.1× 470 1.0× 110 0.5× 213 0.9× 130 0.9× 24 950
Johannes Wittmann 822 1.2× 387 0.8× 261 1.1× 296 1.3× 199 1.3× 39 1.0k
Katarzyna Danis‐Wlodarczyk 856 1.2× 433 0.9× 158 0.7× 363 1.6× 101 0.7× 16 1.0k
Eugene E. Kulikov 781 1.1× 486 1.0× 190 0.8× 239 1.1× 200 1.3× 64 1.1k
Nuria Quiles‐Puchalt 755 1.1× 566 1.2× 129 0.6× 189 0.8× 196 1.3× 20 993
Anne Chevallereau 733 1.0× 496 1.0× 166 0.7× 163 0.7× 105 0.7× 12 917
Sabrina I. Green 567 0.8× 284 0.6× 109 0.5× 227 1.0× 107 0.7× 24 789
Austen Terwilliger 458 0.6× 340 0.7× 107 0.5× 192 0.8× 217 1.4× 27 876
Tomasz Olszak 631 0.9× 361 0.7× 116 0.5× 280 1.2× 68 0.5× 18 790

Countries citing papers authored by Padmanabhan Mahadevan

Since Specialization
Citations

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

Fields of papers citing papers by Padmanabhan Mahadevan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Padmanabhan Mahadevan

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

All Works

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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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