Kusum Naithani

953 total citations
27 papers, 680 citations indexed

About

Kusum Naithani is a scholar working on Ecology, Global and Planetary Change and Soil Science. According to data from OpenAlex, Kusum Naithani has authored 27 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 10 papers in Global and Planetary Change and 5 papers in Soil Science. Recurrent topics in Kusum Naithani's work include Plant Water Relations and Carbon Dynamics (7 papers), Rangeland and Wildlife Management (5 papers) and Soil Carbon and Nitrogen Dynamics (5 papers). Kusum Naithani is often cited by papers focused on Plant Water Relations and Carbon Dynamics (7 papers), Rangeland and Wildlife Management (5 papers) and Soil Carbon and Nitrogen Dynamics (5 papers). Kusum Naithani collaborates with scholars based in United States, Australia and South Korea. Kusum Naithani's co-authors include Kapil K. Khadka, L. Jen Shaffer, Jamon Van Den Hoek, B. E. Ewers, Elise Pendall, Meagan B. Cleary, Hyojung Kwon, Henry Lin, Neelendra K. Joshi and David M. Eissenstat and has published in prestigious journals such as PLoS ONE, Soil Biology and Biochemistry and Journal of Hydrology.

In The Last Decade

Kusum Naithani

26 papers receiving 664 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kusum Naithani United States 13 345 278 115 85 77 27 680
Ajay Ranipeta United States 9 322 0.9× 263 0.9× 98 0.9× 62 0.7× 48 0.6× 11 865
Aitor Gastón Spain 17 717 2.1× 355 1.3× 98 0.9× 78 0.9× 68 0.9× 39 1.1k
Anders Bryn Norway 17 331 1.0× 378 1.4× 200 1.7× 78 0.9× 50 0.6× 52 829
Amber Pairis United States 3 255 0.7× 332 1.2× 77 0.7× 70 0.8× 50 0.6× 3 676
Jianguo Zhu China 13 354 1.0× 534 1.9× 67 0.6× 35 0.4× 96 1.2× 33 911
Yongyut Trisurat Thailand 18 382 1.1× 485 1.7× 67 0.6× 49 0.6× 64 0.8× 38 923
Hossein Bashari Iran 14 263 0.8× 237 0.9× 39 0.3× 66 0.8× 114 1.5× 54 683
Qiong Cai China 15 246 0.7× 203 0.7× 40 0.3× 82 1.0× 36 0.5× 40 619
Jorge Luís Silva Brito Brazil 8 276 0.8× 287 1.0× 43 0.4× 102 1.2× 109 1.4× 30 820
Ludmila Rattis Brazil 14 213 0.6× 375 1.3× 57 0.5× 61 0.7× 43 0.6× 24 650

Countries citing papers authored by Kusum Naithani

Since Specialization
Citations

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

Fields of papers citing papers by Kusum Naithani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kusum Naithani. 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 Kusum Naithani. The network helps show where Kusum Naithani may publish in the future.

Co-authorship network of co-authors of Kusum Naithani

This figure shows the co-authorship network connecting the top 25 collaborators of Kusum Naithani. A scholar is included among the top collaborators of Kusum Naithani 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 Kusum Naithani. Kusum Naithani 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.
Purcell, Larry C., et al.. (2023). Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes. Frontiers in Plant Science. 14. 1106672–1106672. 1 indexed citations
2.
Naithani, Kusum, Megan A. Jones, & Kristine L. Grayson. (2022). Building communities of teaching practice and data‐driven open education resources with NEON faculty mentoring networks. Ecosphere. 13(8). 5 indexed citations
3.
Sanclements, Michael, Sydne Record, Kevin C. Rose, et al.. (2022). People, infrastructure, and data: A pathway to an inclusive and diverse ecological network of networks. Ecosphere. 13(11). 5 indexed citations
4.
Naithani, Kusum, et al.. (2022). Evaluating Greenhouse Gas Emissions and Climate Mitigation Goals of the Global Food and Beverage Sector. Frontiers in Sustainable Food Systems. 5. 12 indexed citations
5.
Bartelme, Ryan P., Y. Anny Chung, Dawson Fairbanks, et al.. (2021). From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the neonMicrobe R package. Ecosphere. 12(11). 3 indexed citations
6.
Joshi, Neelendra K., Kusum Naithani, & David J. Biddinger. (2020). Nest Modification Protects Immature Stages of the Japanese Orchard Bee (Osmia cornifrons) from Invasion of a Cleptoparasitic Mite Pest. Insects. 11(1). 65–65. 8 indexed citations
7.
Shaw, John, et al.. (2020). Field‐Based Estimate of the Sediment Deficit in Coastal Louisiana. Journal of Geophysical Research Earth Surface. 125(8). 21 indexed citations
8.
Naithani, Kusum. (2020). NEON Data in the Classroom: Quantifying Spatial Patterns. 1 indexed citations
9.
Reed, David E., B. E. Ewers, Elise Pendall, et al.. (2018). Biophysical Factors and Canopy Coupling Control Ecosystem Water and Carbon Fluxes of Semiarid Sagebrush Ecosystems. Rangeland Ecology & Management. 71(3). 309–317. 10 indexed citations
10.
DeWitt, Theodore H., et al.. (2017). Model application niche analysis: assessing the transferability and generalizability of ecological models. Ecosphere. 8(10). 13 indexed citations
11.
Naithani, Kusum, et al.. (2016). Combined soil-terrain stratification for characterizing catchment-scale soil moisture variation. Geoderma. 285. 260–269. 23 indexed citations
12.
Smithwick, Erica A. H., et al.. (2016). Grassland productivity in response to nutrient additions and herbivory is scale-dependent. PeerJ. 4. e2745–e2745.
13.
Wardrop, Denice H., et al.. (2016). Land-use and land-cover effects on soil microbial community abundance and composition in headwater riparian wetlands. Soil Biology and Biochemistry. 97. 215–233. 39 indexed citations
14.
Joshi, Neelendra K., Edwin G. Rajotte, Kusum Naithani, Greg Krawczyk, & Larry A. Hull. (2016). Population Dynamics and Flight Phenology Model of Codling Moth Differ between Commercial and Abandoned Apple Orchard Ecosystems. Frontiers in Physiology. 7. 408–408. 16 indexed citations
15.
Cleary, Meagan B., Kusum Naithani, B. E. Ewers, & Elise Pendall. (2015). Upscaling CO2 fluxes using leaf, soil and chamber measurements across successional growth stages in a sagebrush steppe ecosystem. Journal of Arid Environments. 121. 43–51. 12 indexed citations
16.
Naithani, Kusum, et al.. (2014). Abiotic and biotic controls on local spatial distribution and performance of Boechera stricta. Frontiers in Plant Science. 5. 348–348. 6 indexed citations
18.
Biddinger, David J., et al.. (2013). An immunomarking method to determine the foraging patterns of Osmia cornifrons and resulting fruit set in a cherry orchard. Apidologie. 44(6). 738–749. 28 indexed citations
19.
Smithwick, Erica A. H., Kusum Naithani, Teri C. Balser, William H. Romme, & Monica G. Turner. (2012). Post-Fire Spatial Patterns of Soil Nitrogen Mineralization and Microbial Abundance. PLoS ONE. 7(11). e50597–e50597. 26 indexed citations
20.
Naithani, Kusum, et al.. (2010). Spatial and Temporal Dynamics of Vegetation and Hydrological Properties at Shale Hills Critical Zone Observatory in Central Pennsylvania. AGUFM. 2010. 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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