Adam Robbins‐Pianka

3.3k total citations · 1 hit paper
11 papers, 1.2k citations indexed

About

Adam Robbins‐Pianka is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Adam Robbins‐Pianka has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Ecology and 2 papers in Genetics. Recurrent topics in Adam Robbins‐Pianka's work include Microbial Community Ecology and Physiology (5 papers), Gut microbiota and health (3 papers) and RNA and protein synthesis mechanisms (3 papers). Adam Robbins‐Pianka is often cited by papers focused on Microbial Community Ecology and Physiology (5 papers), Gut microbiota and health (3 papers) and RNA and protein synthesis mechanisms (3 papers). Adam Robbins‐Pianka collaborates with scholars based in United States, Denmark and France. Adam Robbins‐Pianka's co-authors include Rob Knight, Jack A. Gilbert, Luke K. Ursell, José A. Navas-Molina, Daniel McDonald, Sean M. Gibbons, Yan He, Jai Ram Rideout, John Chase and José C. Clemente and has published in prestigious journals such as Cell, Bioinformatics and The ISME Journal.

In The Last Decade

Adam Robbins‐Pianka

11 papers receiving 1.2k citations

Hit Papers

Subsampled open-reference clustering creates consistent, ... 2014 2026 2018 2022 2014 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Subsampled open-reference clustering creates consistent, comprehensive OTU definitions and scales to billions of sequences
    2014 421 citations Jai Ram Rideout, Yan He et al. PeerJ profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam Robbins‐Pianka United States 9 718 362 187 135 109 11 1.2k
Olivier Zemb France 20 565 0.8× 421 1.2× 180 1.0× 125 0.9× 66 0.6× 47 1.3k
Nicole M. Scott United States 9 599 0.8× 386 1.1× 264 1.4× 91 0.7× 78 0.7× 9 1.3k
Byron J. Smith United States 6 663 0.9× 361 1.0× 100 0.5× 97 0.7× 120 1.1× 14 1.2k
Jakub Truszkowski Canada 6 893 1.2× 490 1.4× 134 0.7× 120 0.9× 125 1.1× 15 1.7k
Carlos W. Nossa United States 18 815 1.1× 319 0.9× 106 0.6× 146 1.1× 88 0.8× 22 1.9k
Andre Masella Canada 5 926 1.3× 611 1.7× 199 1.1× 125 0.9× 126 1.2× 5 1.9k
Melissa L. Wos‐Oxley Germany 22 876 1.2× 366 1.0× 112 0.6× 354 2.6× 98 0.9× 32 1.7k
Georg H. Reischer Austria 26 796 1.1× 613 1.7× 196 1.0× 234 1.7× 41 0.4× 44 2.2k
Mohamed El-Hadidi Egypt 11 721 1.0× 638 1.8× 185 1.0× 186 1.4× 76 0.7× 40 1.8k
Cédric C. Laczny Luxembourg 15 986 1.4× 322 0.9× 111 0.6× 159 1.2× 136 1.2× 35 1.5k

Countries citing papers authored by Adam Robbins‐Pianka

Since Specialization
Citations

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

Fields of papers citing papers by Adam Robbins‐Pianka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam Robbins‐Pianka. 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 Adam Robbins‐Pianka. The network helps show where Adam Robbins‐Pianka may publish in the future.

Co-authorship network of co-authors of Adam Robbins‐Pianka

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

All Works

11 of 11 papers shown
1.
Robbins‐Pianka, Adam, et al.. (2018). Bacterial community changes in an industrial algae production system. Algal Research. 31. 147–156. 68 indexed citations
2.
Amir, Amnon, Daniel McDonald, José A. Navas-Molina, et al.. (2017). Correcting for Microbial Blooms in Fecal Samples during Room-Temperature Shipping. mSystems. 2(2). 73 indexed citations
3.
Robbins‐Pianka, Adam, et al.. (2016). Multiplex growth rate phenotyping of synthetic mutants in selection to engineer glucose and xylose co‐utilization in Escherichia coli. Biotechnology and Bioengineering. 114(4). 885–893. 3 indexed citations
4.
Curtis, Thomas P., Jean‐Marc Daran, Joachim Frey, et al.. (2015). The future of sustainable fish production lies in vaccine research and development and revised regulatory measures. Bern Open Repository and Information System (University of Bern). 3 indexed citations
5.
Mason, Olivia U., Nicole M. Scott, Antonio González, et al.. (2014). Metagenomics reveals sediment microbial community response to Deepwater Horizon oil spill. The ISME Journal. 8(7). 1464–1475. 273 indexed citations
6.
Seedorf, Henning, Nicholas W. Griffin, Vanessa K. Ridaura, et al.. (2014). Bacteria from Diverse Habitats Colonize and Compete in the Mouse Gut. Cell. 159(2). 253–266. 286 indexed citations
7.
Rideout, Jai Ram, Yan He, José A. Navas-Molina, et al.. (2014). Subsampled open-reference clustering creates consistent, comprehensive OTU definitions and scales to billions of sequences. PeerJ. 2. e545–e545. 421 indexed citations breakdown →
8.
Robbins‐Pianka, Adam, et al.. (2012). The adjacent positioning of co-regulated gene pairs is widely conserved across eukaryotes. BMC Genomics. 13(1). 38 indexed citations
9.
Robbins‐Pianka, Adam, et al.. (2012). Amino Termini of Many Yeast Proteins Map to Downstream Start Codons. Journal of Proteome Research. 11(12). 5712–5719. 23 indexed citations
10.
Curtis, Thomas P., Jean‐Marc Daran, Jack T. Pronk, et al.. (2012). Crystal ball – 2013. Microbial Biotechnology. 6(1). 3–16. 14 indexed citations
11.
Robbins‐Pianka, Adam, Michael Rice, & Michael P. Weir. (2010). The mRNA landscape at yeast translation initiation sites. Bioinformatics. 26(21). 2651–2655. 30 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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