Khrystyne N. Duddleston

816 total citations
29 papers, 631 citations indexed

About

Khrystyne N. Duddleston is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Khrystyne N. Duddleston has authored 29 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 8 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Molecular Biology. Recurrent topics in Khrystyne N. Duddleston's work include Bat Biology and Ecology Studies (8 papers), Gut microbiota and health (7 papers) and Peatlands and Wetlands Ecology (5 papers). Khrystyne N. Duddleston is often cited by papers focused on Bat Biology and Ecology Studies (8 papers), Gut microbiota and health (7 papers) and Peatlands and Wetlands Ecology (5 papers). Khrystyne N. Duddleston collaborates with scholars based in United States, Czechia and Japan. Khrystyne N. Duddleston's co-authors include Mark E. Hines, C. Loren Buck, Juliette N. Rooney‐Varga, Jeffrey P. Chanton, Ronald P. Kiene, Hannah V. Carey, Kirsten Grond, Steven S. Seefeldt, Peter J. Bottomley and Daniel J. Arp and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Journal of Hazardous Materials.

In The Last Decade

Khrystyne N. Duddleston

27 papers receiving 612 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khrystyne N. Duddleston United States 11 350 222 152 137 94 29 631
Perrine Cruaud France 19 629 1.8× 369 1.7× 74 0.5× 334 2.4× 137 1.5× 28 948
Sukkyun Han United States 11 429 1.2× 203 0.9× 212 1.4× 199 1.5× 30 0.3× 25 707
Н. А. Манучарова Russia 16 371 1.1× 83 0.4× 60 0.4× 189 1.4× 58 0.6× 94 803
Jérôme Comte Canada 19 790 2.3× 260 1.2× 174 1.1× 354 2.6× 55 0.6× 34 1.0k
Shawn M. Doyle United States 17 288 0.8× 93 0.4× 106 0.7× 69 0.5× 80 0.9× 33 843
Robert Brankatschk Switzerland 7 382 1.1× 114 0.5× 124 0.8× 131 1.0× 26 0.3× 9 718
Andrea Söllinger Austria 9 257 0.7× 139 0.6× 46 0.3× 223 1.6× 36 0.4× 11 572
Daniel E. Williams United States 15 181 0.5× 94 0.4× 86 0.6× 170 1.2× 24 0.3× 30 820
Thanavit Jirapanjawat Australia 10 301 0.9× 106 0.5× 31 0.2× 222 1.6× 56 0.6× 18 559
Josephine Z. Rapp United States 10 590 1.7× 179 0.8× 157 1.0× 253 1.8× 40 0.4× 19 796

Countries citing papers authored by Khrystyne N. Duddleston

Since Specialization
Citations

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

Fields of papers citing papers by Khrystyne N. Duddleston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khrystyne N. Duddleston. 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 Khrystyne N. Duddleston. The network helps show where Khrystyne N. Duddleston may publish in the future.

Co-authorship network of co-authors of Khrystyne N. Duddleston

This figure shows the co-authorship network connecting the top 25 collaborators of Khrystyne N. Duddleston. A scholar is included among the top collaborators of Khrystyne N. Duddleston 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 Khrystyne N. Duddleston. Khrystyne N. Duddleston 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
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Buck, C. Loren, et al.. (2024). Microbial urea-nitrogen recycling in arctic ground squirrels: the effect of ambient temperature of hibernation. Journal of Comparative Physiology B. 194(6). 909–924. 2 indexed citations
3.
Jennings, Travis L., et al.. (2023). What’s gut got to do with it? The role of the microbiota and inflammation in the development of adiposity and obesity. PubMed. 5(3). e00029–e00029. 1 indexed citations
4.
Grond, Kirsten, C. Loren Buck, & Khrystyne N. Duddleston. (2023). Microbial gene expression during hibernation in arctic ground squirrels: greater differences across gut sections than in response to pre-hibernation dietary protein content. Frontiers in Genetics. 14. 1210143–1210143. 4 indexed citations
5.
Sonsalla, Michelle M., et al.. (2021). Development of metabolic inflammation during pre-hibernation fattening in 13-lined ground squirrels (Ictidomys tridecemlineatus). Journal of Comparative Physiology B. 191(5). 941–953. 5 indexed citations
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Grond, Kirsten, et al.. (2021). Gut microbiome is affected by gut region but robust to host physiological changes in captive active-season ground squirrels. SHILAP Revista de lepidopterología. 3(1). 56–56. 6 indexed citations
9.
Zhang, Lin, Xiao Liu, Khrystyne N. Duddleston, & Mark E. Hines. (2020). The Effects of pH, Temperature, and Humic-Like Substances on Anaerobic Carbon Degradation and Methanogenesis in Ombrotrophic and Minerotrophic Alaskan Peatlands. Aquatic Geochemistry. 26(3). 221–244. 10 indexed citations
10.
Seefeldt, Steven S., et al.. (2020). Sub-Arctic Field Degradation of Metsulfuron-Methyl in Two Alaskan Soils and Microbial Community Composition Effects. Water Air & Soil Pollution. 231(4). 3 indexed citations
11.
Duddleston, Khrystyne N., et al.. (2020). Competency of common northern sea otter (Enhydra lutris kenyoni) prey items to harbor Streptococcus lutetiensis and S. phocae. Diseases of Aquatic Organisms. 143. 69–78. 2 indexed citations
12.
Buck, C. Loren, et al.. (2017). Diet affects arctic ground squirrel gut microbial metatranscriptome independent of community structure. Environmental Microbiology. 19(4). 1518–1535. 16 indexed citations
13.
Carey, Hannah V. & Khrystyne N. Duddleston. (2014). Animal-microbial symbioses in changing environments. Journal of Thermal Biology. 44. 78–84. 26 indexed citations
14.
Duddleston, Khrystyne N., et al.. (2014). Effects of Season and Host Physiological State on the Diversity, Density, and Activity of the Arctic Ground Squirrel Cecal Microbiota. Applied and Environmental Microbiology. 80(18). 5611–5622. 87 indexed citations
15.
Buck, C. Loren, et al.. (2014). Temporal Dynamics of the Cecal Gut Microbiota of Juvenile Arctic Ground Squirrels: a Strong Litter Effect across the First Active Season. Applied and Environmental Microbiology. 80(14). 4260–4268. 15 indexed citations
16.
Rooney‐Varga, Juliette N., et al.. (2007). Links between archaeal community structure, vegetation type and methanogenic pathway in Alaskan peatlands. FEMS Microbiology Ecology. 60(2). 240–251. 91 indexed citations
17.
Duddleston, Khrystyne N., et al.. (2005). Seasonal Variations in Fecal Coliform Bacteria in a Cold Region Stream. 38. 1–8. 1 indexed citations
18.
Duddleston, Khrystyne N., et al.. (2002). Biodegradation of monohalogenated alkanes by soil NH 3 -oxidizing bacteria. Applied Microbiology and Biotechnology. 59(4-5). 535–539. 7 indexed citations
19.
Duddleston, Khrystyne N., et al.. (2002). Anaerobic microbial biogeochemistry in a northern bog: Acetate as a dominant metabolic end product. Global Biogeochemical Cycles. 16(4). 131 indexed citations
20.
Duddleston, Khrystyne N., et al.. (1992). Anoxic Cattail Wetland for Treatment of Water Associated with Coal Mining Activities. Journal American Society of Mining and Reclamation. 1992(1). 249–254. 4 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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