David M. Meko

14.1k total citations · 5 hit papers
124 papers, 10.8k citations indexed

About

David M. Meko is a scholar working on Atmospheric Science, Global and Planetary Change and Nature and Landscape Conservation. According to data from OpenAlex, David M. Meko has authored 124 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Atmospheric Science, 111 papers in Global and Planetary Change and 15 papers in Nature and Landscape Conservation. Recurrent topics in David M. Meko's work include Tree-ring climate responses (112 papers), Plant Water Relations and Carbon Dynamics (98 papers) and Climate variability and models (40 papers). David M. Meko is often cited by papers focused on Tree-ring climate responses (112 papers), Plant Water Relations and Carbon Dynamics (98 papers) and Climate variability and models (40 papers). David M. Meko collaborates with scholars based in United States, Russia and Algeria. David M. Meko's co-authors include Edward R. Cook, Connie A. Woodhouse, David W. Stahle, Ramzi Touchan, Malcolm K. Cleaveland, Charles W. Stockton, C. Mark Eakin, Donald A. Graybill, Daniel Griffin and Kevin J. Anchukaitis and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Scientific Reports.

In The Last Decade

David M. Meko

119 papers receiving 10.2k citations

Hit Papers

Temperature as a potent driver of regi... 1995 2026 2005 2015 2012 2004 1999 1995 2016 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Meko United States 45 8.8k 8.1k 1.8k 1.2k 972 124 10.8k
Connie A. Woodhouse United States 39 6.3k 0.7× 5.2k 0.6× 1.3k 0.7× 1.3k 1.1× 1.2k 1.3× 99 8.1k
Kevin J. Anchukaitis United States 48 7.1k 0.8× 6.7k 0.8× 1.3k 0.7× 948 0.8× 719 0.7× 151 9.8k
Ricardo Villalba Argentina 53 5.7k 0.6× 6.7k 0.8× 2.3k 1.3× 1.3k 1.1× 439 0.5× 232 9.1k
Jason E. Smerdon United States 45 7.0k 0.8× 5.1k 0.6× 781 0.4× 980 0.8× 1.3k 1.3× 141 9.5k
Tao Wang China 48 5.0k 0.6× 2.9k 0.4× 947 0.5× 2.1k 1.7× 1.2k 1.3× 171 8.3k
Gerhard Krinner France 49 5.2k 0.6× 7.5k 0.9× 441 0.2× 1.7k 1.3× 616 0.6× 141 10.5k
Achim Bräuning Germany 48 5.1k 0.6× 5.5k 0.7× 2.4k 1.3× 646 0.5× 228 0.2× 235 7.0k
Martín de Luis Spain 53 5.4k 0.6× 3.8k 0.5× 2.6k 1.4× 1.1k 0.9× 614 0.6× 143 6.9k
Neil Pederson United States 47 5.0k 0.6× 4.2k 0.5× 2.8k 1.5× 824 0.7× 249 0.3× 127 6.4k
J. M. Welker United States 57 3.3k 0.4× 6.6k 0.8× 1.3k 0.7× 4.3k 3.5× 1.3k 1.4× 240 11.9k

Countries citing papers authored by David M. Meko

Since Specialization
Citations

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

Fields of papers citing papers by David M. Meko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Meko. 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 David M. Meko. The network helps show where David M. Meko may publish in the future.

Co-authorship network of co-authors of David M. Meko

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

All Works

20 of 20 papers shown
1.
Wang, Shijie, Mao Hu, Feng Chen, et al.. (2025). Recent south-central Andes water crisis driven by Antarctic amplification is unprecedented over the last eight centuries. Communications Earth & Environment. 6(1). 1 indexed citations
2.
Prusevich, Alexander, David M. Meko, Irina P. Panyushkina, et al.. (2025). TRISH: Tree-ring integrated system for hydrology, a web-based tool for reconstruction. Environmental Modelling & Software. 192. 106590–106590.
3.
Vennemann, Torsten, et al.. (2025). Elevation-dependent breakpoint in climate forcing of tree growth in the Turtmann River Basin, Switzerland. Dendrochronologia. 91. 126322–126322.
4.
Anchukaitis, Kevin J., Ramzi Touchan, David M. Meko, et al.. (2024). Enhancing spatiotemporal paleoclimate reconstructions of hydroclimate across the Mediterranean over the last millennium. Climate Dynamics. 62(6). 5351–5371. 2 indexed citations
5.
Chen, Feng, Tao Wang, Xiaoen Zhao, et al.. (2024). Coupled Pacific Rim megadroughts contributed to the fall of the Ming Dynasty’s capital in 1644 CE. Science Bulletin. 69(19). 3106–3114. 36 indexed citations
6.
Chen, Feng, Shijie Wang, Qianjin Dong, et al.. (2024). Role of Pacific Ocean climate in regulating runoff in the source areas of water transfer projects on the Pacific Rim. npj Climate and Atmospheric Science. 7(1). 22 indexed citations
7.
Risley, John C., et al.. (2024). Precipitation Reconstruction Using Tree-Ring Chronologies from Jordan and the Eastern Mediterranean Region. Tree-Ring Research. 80(2). 1 indexed citations
8.
Biondi, Franco, David M. Meko, & Gianluca Piovesan. (2023). Maximum tree lifespans derived from public-domain dendrochronological data. iScience. 26(3). 106138–106138. 6 indexed citations
9.
Chen, Feng, Wenmin Man, Shijie Wang, et al.. (2023). Southeast Asian ecological dependency on Tibetan Plateau streamflow over the last millennium. Nature Geoscience. 16(12). 1151–1158. 70 indexed citations
10.
Meko, David M., et al.. (2023). Species Sensitivity to Hydrologic Whiplash in The Tree-Ring Record of the High Sierra Nevada. Environments. 10(1). 12–12. 2 indexed citations
12.
Panyushkina, Irina P., et al.. (2022). Douglas Fir Multiproxy Tree-Ring Data Glimpse MIS 5 Environment in the U.S. Pacific Northwest. Forests. 13(12). 2161–2161. 1 indexed citations
13.
Biondi, Franco & David M. Meko. (2019). Long‐Term Hydroclimatic Patterns in the Truckee‐Carson Basin of the Eastern Sierra Nevada, USA. Water Resources Research. 55(7). 5559–5574. 17 indexed citations
14.
Chen, Feng, Huaming Shang, Irina P. Panyushkina, et al.. (2019). Tree-ring reconstruction of Lhasa River streamflow reveals 472 years of hydrologic change on southern Tibetan Plateau. Journal of Hydrology. 572. 169–178. 42 indexed citations
15.
Wahl, Eugene R., et al.. (2012). Reconstructing Precipitation from Temperature and Drought-Index Reconstructions in Western North America. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
16.
Touchan, Ramzi, et al.. (2012). Process based model sheds light on climate sensitivity of Mediterranean tree-ring width. Biogeosciences. 9(3). 965–972. 61 indexed citations
17.
Stahle, David W., Daniel Griffin, Malcolm K. Cleaveland, et al.. (2011). A Tree-Ring Reconstruction of the Salinity Gradient in the Northern Estuary of San Francisco Bay. San Francisco Estuary and Watershed Science. 9(1). 11 indexed citations
18.
Touchan, Ramzi, Kevin J. Anchukaitis, & David M. Meko. (2010). Drought History from tree rings in the Mediterranean Region. AGU Fall Meeting Abstracts. 2010. 1 indexed citations
19.
Meko, David M., et al.. (2009). A Bimillennial-Length Tree-Ring Reconstruction of Precipitation for the Tavaputs Plateau, Northeastern Utah. Quaternary Research. 73(1). 107–117. 43 indexed citations
20.
Jacobs, Keith W., David M. Meko, Bart Nijssen, & Bonnie G. Colby. (2005). Enhancing Water Supply Reliability Through Improved Predictive Capacity and Response. AGU Fall Meeting Abstracts. 2005. 1 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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