Jananan S. Pathmanathan

518 total citations
16 papers, 294 citations indexed

About

Jananan S. Pathmanathan is a scholar working on Molecular Biology, Ecology and Sociology and Political Science. According to data from OpenAlex, Jananan S. Pathmanathan has authored 16 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Ecology and 3 papers in Sociology and Political Science. Recurrent topics in Jananan S. Pathmanathan's work include Genomics and Phylogenetic Studies (8 papers), Microbial Community Ecology and Physiology (6 papers) and Protist diversity and phylogeny (4 papers). Jananan S. Pathmanathan is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Microbial Community Ecology and Physiology (6 papers) and Protist diversity and phylogeny (4 papers). Jananan S. Pathmanathan collaborates with scholars based in France, United States and United Kingdom. Jananan S. Pathmanathan's co-authors include Éric Bapteste, Philippe Lopez, Romain Lannes, Guillaume Bernard, Debashish Bhattacharya, Xiaoyang Su, Amanda Williams, Eric Chiles, Hollie M. Putnam and Johann‐Mattis List and has published in prestigious journals such as Nature, Science Advances and Molecular Biology and Evolution.

In The Last Decade

Jananan S. Pathmanathan

15 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jananan S. Pathmanathan France 10 172 144 39 30 27 16 294
Benedikt Geier Germany 9 171 1.0× 147 1.0× 23 0.6× 95 3.2× 13 0.5× 16 374
João Paulo Machado Portugal 10 79 0.5× 48 0.3× 19 0.5× 23 0.8× 14 0.5× 15 240
Tyler J. Carrier United States 10 74 0.4× 129 0.9× 30 0.8× 84 2.8× 11 0.4× 13 305
Do Hwan Ahn South Korea 9 173 1.0× 127 0.9× 33 0.8× 25 0.8× 56 2.1× 16 291
M. D’Angelo Italy 5 156 0.9× 105 0.7× 22 0.6× 18 0.6× 19 0.7× 5 251
Nadège Guiglielmoni Belgium 7 138 0.8× 49 0.3× 65 1.7× 17 0.6× 13 0.5× 19 225
Michael Kempf Germany 8 143 0.8× 123 0.9× 18 0.5× 7 0.2× 14 0.5× 15 314
Arielle Woznica United States 9 232 1.3× 94 0.7× 25 0.6× 36 1.2× 33 1.2× 10 369
Daniela Almeida Portugal 12 91 0.5× 47 0.3× 11 0.3× 19 0.6× 40 1.5× 22 245
Fernando D. K. Tria Germany 10 291 1.7× 138 1.0× 63 1.6× 12 0.4× 6 0.2× 15 391

Countries citing papers authored by Jananan S. Pathmanathan

Since Specialization
Citations

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

Fields of papers citing papers by Jananan S. Pathmanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jananan S. Pathmanathan. 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 Jananan S. Pathmanathan. The network helps show where Jananan S. Pathmanathan may publish in the future.

Co-authorship network of co-authors of Jananan S. Pathmanathan

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

All Works

16 of 16 papers shown
1.
Williams, Tom A., David López‐Escardó, Jananan S. Pathmanathan, et al.. (2022). Divergent genomic trajectories predate the origin of animals and fungi. Nature. 609(7928). 747–753. 50 indexed citations
2.
Neme, Rafik, et al.. (2021). Transcribed germline-limited coding sequences in Oxytricha trifallax. G3 Genes Genomes Genetics. 11(6). 4 indexed citations
3.
Williams, Amanda, Eric Chiles, Jananan S. Pathmanathan, et al.. (2021). Metabolomic shifts associated with heat stress in coral holobionts. Science Advances. 7(1). 50 indexed citations
4.
Williams, Amanda, Jananan S. Pathmanathan, Timothy G. Stephens, et al.. (2021). Multi-omic characterization of the thermal stress phenome in the stony coral Montipora capitata. PeerJ. 9. e12335–e12335. 20 indexed citations
5.
Watson, Andrew, Romain Lannes, Jananan S. Pathmanathan, et al.. (2019). The Methodology Behind Network Thinking: Graphs to Analyze Microbial Complexity and Evolution. Methods in molecular biology. 1910. 271–308. 5 indexed citations
6.
Lindblad, Kelsi, Jananan S. Pathmanathan, Sandrine Moreira, et al.. (2019). Capture of complete ciliate chromosomes in single sequencing reads reveals widespread chromosome isoforms. BMC Genomics. 20(1). 1037–1037. 13 indexed citations
7.
Lord, Étienne, Jananan S. Pathmanathan, Vladimir Makarenkov, et al.. (2019). Introducing Trait Networks to Elucidate the Fluidity of Organismal Evolution Using Palaeontological Data. Genome Biology and Evolution. 11(9). 2653–2665. 1 indexed citations
8.
Méheust, Raphaël, Debashish Bhattacharya, Jananan S. Pathmanathan, et al.. (2018). Formation of chimeric genes with essential functions at the origin of eukaryotes. BMC Biology. 16(1). 30–30. 17 indexed citations
9.
Pathmanathan, Jananan S., et al.. (2018). TEF 2.0: a graph-based method for decomposing protein structures into closed loops. Journal of Biomolecular Structure and Dynamics. 37(16). 4140–4150.
10.
Pathmanathan, Jananan S., et al.. (2018). MultiTwin: A Software Suite to Analyze Evolution at Multiple Levels of Organization Using Multipartite Graphs. Genome Biology and Evolution. 10(10). 2777–2784. 4 indexed citations
11.
Bernard, Guillaume, Jananan S. Pathmanathan, Romain Lannes, Philippe Lopez, & Éric Bapteste. (2018). Microbial Dark Matter Investigations: How Microbial Studies Transform Biological Knowledge and Empirically Sketch a Logic of Scientific Discovery. Genome Biology and Evolution. 10(3). 707–715. 62 indexed citations
12.
Duarte, Márcia, et al.. (2017). Microbial communities in pyrene amended soil–compost mixture and fertilized soil. AMB Express. 7(1). 7–7. 17 indexed citations
13.
Pathmanathan, Jananan S., Philippe Lopez, François‐Joseph Lapointe, & Éric Bapteste. (2017). CompositeSearch: A Generalized Network Approach for Composite Gene Families Detection. Molecular Biology and Evolution. 35(1). 252–255. 17 indexed citations
14.
List, Johann‐Mattis, Jananan S. Pathmanathan, Nathan W. Hill, Éric Bapteste, & Philippe Lopez. (2017). Vowel purity and rhyme evidence in Old Chinese reconstruction. SPIRE - Sciences Po Institutional REpository. 3(1). 5 indexed citations
15.
List, Johann‐Mattis, Jananan S. Pathmanathan, Philippe Lopez, & Éric Bapteste. (2016). Unity and disunity in evolutionary sciences: process-based analogies open common research avenues for biology and linguistics. Biology Direct. 11(1). 39–39. 20 indexed citations
16.
Jaffe, Alexander L., et al.. (2016). Bipartite graph analyses reveal interdomain LGT involving ultrasmall prokaryotes and their divergent, membrane‐related proteins. Environmental Microbiology. 18(12). 5072–5081. 9 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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