Daniel W. A. Noble

7.3k total citations · 5 hit papers
121 papers, 4.6k citations indexed

About

Daniel W. A. Noble is a scholar working on Ecology, Evolution, Behavior and Systematics, Global and Planetary Change and Ecology. According to data from OpenAlex, Daniel W. A. Noble has authored 121 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Ecology, Evolution, Behavior and Systematics, 40 papers in Global and Planetary Change and 33 papers in Ecology. Recurrent topics in Daniel W. A. Noble's work include Animal Behavior and Reproduction (63 papers), Amphibian and Reptile Biology (39 papers) and Plant and animal studies (24 papers). Daniel W. A. Noble is often cited by papers focused on Animal Behavior and Reproduction (63 papers), Amphibian and Reptile Biology (39 papers) and Plant and animal studies (24 papers). Daniel W. A. Noble collaborates with scholars based in Australia, United Kingdom and United States. Daniel W. A. Noble's co-authors include Shinichi Nakagawa, Malgorzata Lagisz, Rose E. O’Dea, Martin J. Whiting, Alistair M. Senior, Lisa E. Schwanz, Michael D. Jennions, Tobias Uller, Yefeng Yang and Timothy Parker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Trends in Ecology & Evolution.

In The Last Decade

Daniel W. A. Noble

113 papers receiving 4.5k citations

Hit Papers

5 papers align trajectories

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.

Meta-evaluation of meta-analysis: ten appraisal questions for biologists

2017 392 citations Shinichi Nakagawa, Daniel W. A. Noble et al. profile →
Preferred reporting items for systematic reviews and meta‐analyses in ecology and evolutionary biology: a PRISMA extension

2021 384 citations Rose E. O’Dea, Malgorzata Lagisz et al. profile →
Methods for testing publication bias in ecological and evolutionary meta‐analyses

2021 247 citations Shinichi Nakagawa, Malgorzata Lagisz et al. Methods in Ecology and Evolution profile →
The orchard plot: Cultivating a forest plot for use in ecology, evolution, and beyond

2020 165 citations Shinichi Nakagawa, Malgorzata Lagisz et al. Research Synthesis Methods profile →
orchaRd 2.0: An R package for visualising meta‐analyses with orchard plots

2023 74 citations Shinichi Nakagawa, Malgorzata Lagisz et al. Methods in Ecology and Evolution profile →

Peers

Daniel W. A. Noble

EEBS

ECOLO

GPC

NLC

GENET

Adnan Moussalli Australia

Xavier A. Harrison United Kingdom

Kathryn P. Huyvaert United States

Martin Maechler United States

Matthew R. E. Symonds Australia

Malgorzata Lagisz Australia

Evan P. Economo Japan

Daniel Lüdecke Germany

Jason Munshi‐South United States

Steven C. Walker United States

Adnan Moussalli Australia

Daniel W. A. Noble

2.2k ×1.2

EEBS

1.7k ×1.3

ECOLO

1.4k ×1.2

GPC

769 ×1.0

NLC

921 ×1.2

GENET

Citations per year, relative to Daniel W. A. Noble Daniel W. A. Noble (= 1×) peers Adnan Moussalli

Countries citing papers authored by Daniel W. A. Noble

Since Specialization

Citations

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

Fields of papers citing papers by Daniel W. A. Noble

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel W. A. Noble. 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 Daniel W. A. Noble. The network helps show where Daniel W. A. Noble may publish in the future.

Co-authorship network of co-authors of Daniel W. A. Noble

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Arnold, Pieter A., Daniel W. A. Noble, Adrienne B. Nicotra, et al.. (2025). A Framework for Modelling Thermal Load Sensitivity Across Life. Global Change Biology. 31(7). e70315–e70315. 3 indexed citations

Greggor, Alison L., Shermin de Silva, Culum Brown, et al.. (2025). Strategies for integrating animal social learning and culture into conservation translocation practice. Philosophical Transactions of the Royal Society B Biological Sciences. 380(1925). 20240138–20240138. 8 indexed citations

Yang, Yefeng, et al.. (2024). Robust point and variance estimation for meta‐analyses with selective reporting and dependent effect sizes. Methods in Ecology and Evolution. 15(9). 1593–1610. 11 indexed citations

Iglesias‐Carrasco, Maider, Jiayu Zhang, & Daniel W. A. Noble. (2024). Maternal investment and early thermal conditions affect performance and antipredator responses. Behavioral Ecology. 35(4). arae035–arae035. 2 indexed citations

Pottier, Patrice, Daniel W. A. Noble, Frank Seebacher, et al.. (2024). New horizons for comparative studies and meta-analyses. Trends in Ecology & Evolution. 39(5). 435–445. 12 indexed citations

Crino, Ondi L., et al.. (2024). From eggs to adulthood: sustained effects of early developmental temperature and corticosterone exposure on physiology and body size in an Australian lizard. Journal of Experimental Biology. 227(24). 2 indexed citations

Noble, Daniel W. A., et al.. (2023). Baiting in conservation and pest management: A systematic review of its global applications in a changing world. Biological Conservation. 284. 110214–110214. 8 indexed citations

Noble, Daniel W. A., et al.. (2023). Advice for improving the reproducibility of data extraction in meta‐analysis. Research Synthesis Methods. 14(6). 911–915. 10 indexed citations

Nakagawa, Shinichi, Daniel W. A. Noble, Malgorzata Lagisz, et al.. (2022). A robust and readily implementable method for the meta‐analysis of response ratios with and without missing standard deviations. Ecology Letters. 26(2). 232–244. 47 indexed citations

10.

Pottier, Patrice, Samantha Burke, Daniel W. A. Noble, et al.. (2022). Developmental plasticity in thermal tolerance: Ontogenetic variation, persistence, and future directions. Ecology Letters. 25(10). 2245–2268. 82 indexed citations

11.

Nakagawa, Shinichi, Malgorzata Lagisz, Michael D. Jennions, et al.. (2021). Methods for testing publication bias in ecological and evolutionary meta‐analyses. Methods in Ecology and Evolution. 13(1). 4–21. 247 indexed citations breakdown →

12.

Noble, Daniel W. A. & Shinichi Nakagawa. (2021). Planned missing data designs and methods: Options for strengthening inference, increasing research efficiency and improving animal welfare in ecological and evolutionary research. Evolutionary Applications. 14(8). 1958–1968. 12 indexed citations

13.

O’Dea, Rose E., Daniel W. A. Noble, & Shinichi Nakagawa. (2021). Unifying individual differences in personality, predictability and plasticity: A practical guide. Methods in Ecology and Evolution. 13(2). 278–293. 56 indexed citations

14.

Noble, Daniel W. A., Alistair M. Senior, Tobias Uller, & Lisa E. Schwanz. (2021). Heightened among‐individual variation in life history but not morphology is related to developmental temperature in reptiles. Journal of Evolutionary Biology. 34(11). 1793–1802. 4 indexed citations

15.

Noble, Daniel W. A., Fonti Kar, Shinichi Nakagawa, J. Scott Keogh, & Martin J. Whiting. (2020). Sexual selection on performance traits in an Australian lizard with alternative reproductive tactics. Journal of Evolutionary Biology. 34(3). 451–464. 2 indexed citations

16.

Sánchez‐Tójar, Alfredo, Malgorzata Lagisz, Nicholas P. Moran, et al.. (2020). The jury is still out regarding the generality of adaptive ‘transgenerational’ effects. Ecology Letters. 23(11). 1715–1718. 57 indexed citations

17.

Pick, Joel L., Shinichi Nakagawa, & Daniel W. A. Noble. (2018). Reproducible, flexible and high‐throughput data extraction from primary literature: The metaDigitise r package. Methods in Ecology and Evolution. 10(3). 426–431. 156 indexed citations

18.

Noble, Daniel W. A., Rose E. O’Dea, Takuji Usui, et al.. (2018). Computer Animation Technology in Behavioral Sciences: A Sequential, Automatic, and High-Throughput Approach to Quantifying Personality in Zebrafish ( Danio rerio ). Zebrafish. 15(2). 206–210. 9 indexed citations

19.

Qi, Yin, Daniel W. A. Noble, Jinzhong Fu, & Martin J. Whiting. (2018). Testing domain general learning in an Australian lizard. Animal Cognition. 21(4). 595–602. 12 indexed citations

20.

Noble, Daniel W. A.. (2003). Focussed Issue - Mechano-electric feedback and cardiac arrhythmias - Editor's note. Progress in Biophysics and Molecular Biology. 82. 1–1. 5 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.

Explore authors with similar magnitude of impact