R. K. Varner

5.2k total citations · 1 hit paper
86 papers, 3.2k citations indexed

About

R. K. Varner is a scholar working on Atmospheric Science, Global and Planetary Change and Ecology. According to data from OpenAlex, R. K. Varner has authored 86 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Atmospheric Science, 40 papers in Global and Planetary Change and 36 papers in Ecology. Recurrent topics in R. K. Varner's work include Atmospheric and Environmental Gas Dynamics (36 papers), Peatlands and Wetlands Ecology (32 papers) and Climate change and permafrost (27 papers). R. K. Varner is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (36 papers), Peatlands and Wetlands Ecology (32 papers) and Climate change and permafrost (27 papers). R. K. Varner collaborates with scholars based in United States, Sweden and Australia. R. K. Varner's co-authors include Patrick Crill, M. Wik, David Bastviken, Sally MacIntyre, R. W. Talbot, Jill L. Bubier, Katey Walter Anthony, Steve Frolking, B. C. Sive and Claire C. Treat and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Analytical Chemistry.

In The Last Decade

R. K. Varner

86 papers receiving 3.1k citations

Hit Papers

Climate-sensitive northern lakes and ponds are critical c... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. K. Varner United States 32 1.6k 1.5k 1.2k 775 436 86 3.2k
Evan S. Kane United States 30 1.3k 0.8× 1.5k 1.0× 1.7k 1.4× 295 0.4× 191 0.4× 97 3.2k
Juzhi Hou China 35 3.0k 1.9× 622 0.4× 1.6k 1.3× 507 0.7× 333 0.8× 113 4.4k
Claire C. Treat United States 25 3.7k 2.3× 1.3k 0.8× 2.2k 1.8× 890 1.1× 220 0.5× 49 5.0k
Thomas A. Brown United Kingdom 26 966 0.6× 477 0.3× 881 0.7× 631 0.8× 591 1.4× 64 2.2k
Vincent Gauci United Kingdom 32 511 0.3× 1.3k 0.9× 1.6k 1.3× 449 0.6× 301 0.7× 69 2.7k
Huan Yang China 32 1.9k 1.2× 344 0.2× 1.2k 1.0× 705 0.9× 310 0.7× 140 3.2k
Anatoly Prokushkin Russia 28 1.6k 1.0× 1.8k 1.2× 773 0.6× 311 0.4× 221 0.5× 142 3.5k
Yunping Xu China 29 1.2k 0.7× 314 0.2× 1.2k 1.0× 590 0.8× 507 1.2× 99 2.7k
Christian Knoblauch Germany 28 1.5k 0.9× 457 0.3× 1.2k 1.0× 1.3k 1.7× 237 0.5× 59 3.2k
Heather Graven United States 22 1.2k 0.8× 1.8k 1.2× 460 0.4× 238 0.3× 736 1.7× 54 2.6k

Countries citing papers authored by R. K. Varner

Since Specialization
Citations

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

Fields of papers citing papers by R. K. Varner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. K. Varner. 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 R. K. Varner. The network helps show where R. K. Varner may publish in the future.

Co-authorship network of co-authors of R. K. Varner

This figure shows the co-authorship network connecting the top 25 collaborators of R. K. Varner. A scholar is included among the top collaborators of R. K. Varner 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 R. K. Varner. R. K. Varner 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.
Yang, Shuai, Jinyun Tang, Zhen Li, et al.. (2025). Unraveling the depth-dependent causal dynamics of methanogenesis and methanotrophy in a high-latitude fen peatland. Environmental Research Letters. 20(3). 34005–34005. 1 indexed citations
2.
Li, Zhen, R. F. Grant, Kuang‐Yu Chang, et al.. (2024). Soil incubation methods lead to large differences in inferred methane production temperature sensitivity. Environmental Research Letters. 19(4). 44069–44069. 4 indexed citations
3.
Nelson, Sarah J., et al.. (2024). Climate displaces deposition as dominant driver of dissolved organic carbon concentrations in historically acidified lakes. Biogeochemistry. 168(1). 5–5. 1 indexed citations
4.
McCalley, C. K., et al.. (2023). Effect of Drought and Heavy Precipitation on CH4 Emissions and δ13C–CH4 in a Northern Temperate Peatland. Ecosystems. 27(1). 1–18. 3 indexed citations
5.
Ellenbogen, Jared, Mikayla Borton, Bridget B. McGivern, et al.. (2023). Methylotrophy in the Mire: direct and indirect routes for methane production in thawing permafrost. mSystems. 9(1). e0069823–e0069823. 13 indexed citations
6.
Malone, Sparkle L., Youmi Oh, Kyle A. Arndt, et al.. (2022). Gaps in network infrastructure limit our understanding of biogenic methane emissions for the United States. Biogeosciences. 19(9). 2507–2522. 3 indexed citations
7.
Holmes, M. Elizabeth, Patrick Crill, William C. Burnett, et al.. (2022). Carbon Accumulation, Flux, and Fate in Stordalen Mire, a Permafrost Peatland in Transition. Global Biogeochemical Cycles. 36(1). 29 indexed citations
8.
McCalley, C. K., Suzanne B. Hodgkins, Rachel Wilson, et al.. (2022). Mapping substrate use across a permafrost thaw gradient. Soil Biology and Biochemistry. 175. 108809–108809. 13 indexed citations
10.
Malone, Sparkle L., Youmi Oh, Kyle A. Arndt, et al.. (2021). Gaps in Network Infrastructure limit our understanding of biogenic methane emissions in the United States. 2 indexed citations
11.
Emerson, Joanne, R. K. Varner, M. Wik, et al.. (2021). Diverse sediment microbiota shape methane emission temperature sensitivity in Arctic lakes. Nature Communications. 12(1). 5815–5815. 29 indexed citations
12.
Wilson, Rachel, Kuang‐Yu Chang, Gil Bohrer, et al.. (2021). Coupling plant litter quantity to a novel metric for litter quality explains C storage changes in a thawing permafrost peatland. Global Change Biology. 28(3). 950–968. 17 indexed citations
13.
Deng, Jia, C. K. McCalley, Steve Frolking, et al.. (2017). Adding stable carbon isotopes improves model representation of the role of microbial communities in peatland methane cycling. Journal of Advances in Modeling Earth Systems. 9(2). 1412–1430. 16 indexed citations
14.
Varner, R. K., et al.. (2017). University of New Hampshire's Project SMART 2017: Marine and Environmental Science for High School Students. AGUFM. 2017. 1 indexed citations
15.
McCalley, C. K., et al.. (2015). Using vegetation cover type to predict and scale peatland methane dynamics.. 2015 AGU Fall Meeting. 2015. 1 indexed citations
16.
Herrick, C, et al.. (2014). Use of High Resolution UAS Imagery to Classify Sub-Arctic Vegetation Types. 2014 AGU Fall Meeting. 2014. 1 indexed citations
17.
Wik, M., et al.. (2014). Correlating the presence of Sparganium angustifolium with methane ebullition in a subarctic Swedish lake. 2014 AGU Fall Meeting. 2014. 1 indexed citations
18.
Sive, B. C., R. K. Varner, Huiting Mao, et al.. (2007). A large terrestrial source of methyl iodide. Geophysical Research Letters. 34(17). 58 indexed citations
19.
Ambrose, J. L., Howard R. Mayne, J. Stutz, et al.. (2005). Nighttime Oxidation of VOCs at Appledore Island, ME During ICARTT 2004. AGU Fall Meeting Abstracts. 2005. 1 indexed citations
20.
Varner, R. K., et al.. (2005). Methyl Halide Production by Fungi. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester). 2005. 2 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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