Sindhu Jagadamma

3.4k total citations
96 papers, 2.4k citations indexed

About

Sindhu Jagadamma is a scholar working on Soil Science, Environmental Chemistry and Ecology. According to data from OpenAlex, Sindhu Jagadamma has authored 96 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Soil Science, 38 papers in Environmental Chemistry and 28 papers in Ecology. Recurrent topics in Sindhu Jagadamma's work include Soil Carbon and Nitrogen Dynamics (77 papers), Soil and Water Nutrient Dynamics (36 papers) and Soil and Unsaturated Flow (15 papers). Sindhu Jagadamma is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (77 papers), Soil and Water Nutrient Dynamics (36 papers) and Soil and Unsaturated Flow (15 papers). Sindhu Jagadamma collaborates with scholars based in United States, China and Türkiye. Sindhu Jagadamma's co-authors include Rattan Lal, Melanie A. Mayes, Song Cui, Yuan Li, Qingping Zhang, Jaehoon Lee, Zhou Li, J. Megan Steinweg, Emerson D. Nafziger and Eric Adee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Sindhu Jagadamma

88 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sindhu Jagadamma United States 29 1.7k 578 577 502 420 96 2.4k
Kate A. Congreves Canada 23 1.3k 0.8× 400 0.7× 675 1.2× 593 1.2× 444 1.1× 61 2.1k
Fanqiao Meng China 29 1.2k 0.7× 430 0.7× 540 0.9× 461 0.9× 379 0.9× 73 2.0k
Minghua Zhou China 27 1.5k 0.9× 610 1.1× 551 1.0× 780 1.6× 284 0.7× 79 2.4k
C. C. du Preez South Africa 30 1.6k 1.0× 623 1.1× 471 0.8× 434 0.9× 376 0.9× 144 2.5k
Aizhen Liang China 28 1.8k 1.0× 643 1.1× 661 1.1× 332 0.7× 365 0.9× 105 2.4k
Jeferson Dieckow Brazil 30 2.5k 1.5× 629 1.1× 651 1.1× 787 1.6× 592 1.4× 99 3.2k
Clive A. Kirkby Australia 19 1.8k 1.0× 918 1.6× 757 1.3× 656 1.3× 390 0.9× 34 2.6k
Iñigo Virto Spain 24 1.8k 1.0× 483 0.8× 375 0.6× 495 1.0× 295 0.7× 65 2.4k
João Carlos de Moraes Sá Brazil 29 2.5k 1.4× 526 0.9× 719 1.2× 493 1.0× 514 1.2× 64 3.1k
Anning Zhu China 27 1.4k 0.8× 360 0.6× 810 1.4× 449 0.9× 347 0.8× 80 2.1k

Countries citing papers authored by Sindhu Jagadamma

Since Specialization
Citations

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

Fields of papers citing papers by Sindhu Jagadamma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sindhu Jagadamma

This figure shows the co-authorship network connecting the top 25 collaborators of Sindhu Jagadamma. A scholar is included among the top collaborators of Sindhu Jagadamma 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 Sindhu Jagadamma. Sindhu Jagadamma 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.
Badgujar, Chetan, et al.. (2025). Application of Digital Twin Technology in Smart Agriculture: A Bibliometric Review. Agriculture. 15(17). 1799–1799.
2.
Saha, Debasish, et al.. (2025). Trees for soil organic carbon storage in a temperate organic agroforestry system. Soil Science Society of America Journal. 89(3).
3.
Badgujar, Chetan, et al.. (2025). Application of Digital Twin Technology in Smart Agriculture: A Bibliometric Review. Preprints.org. 2 indexed citations
4.
Brinton, William F., Bruno Basso, N. Millar, et al.. (2025). An inter‐laboratory comparison of soil organic carbon analysis on a farm with four agricultural management systems. Agronomy Journal. 117(1). 1 indexed citations
5.
Jagadamma, Sindhu, et al.. (2024). Long‐term tillage and cover cropping differentially influenced soil nitrous oxide emissions from cotton cropping system. Agronomy Journal. 116(6). 2804–2816. 1 indexed citations
6.
Walker, Emily, Rachel Wooliver, Laura Russo, & Sindhu Jagadamma. (2024). The context‐dependent benefits of organic farming on pollinator biodiversity: A meta‐analysis. Journal of Applied Ecology. 62(1). 41–52. 3 indexed citations
7.
Lazicki, Patrícia, Jaehoon Lee, Alemu Mengistu, & Sindhu Jagadamma. (2023). Drought, heat, and management interact to affect soil carbon and nitrogen losses in a temperate, humid climate. Applied Soil Ecology. 189. 104947–104947. 3 indexed citations
8.
Singh, Shikha, Melanie A. Mayes, Stephanie N. Kivlin, & Sindhu Jagadamma. (2023). How the Birch effect differs in mechanisms and magnitudes due to soil texture. Soil Biology and Biochemistry. 179. 108973–108973. 20 indexed citations
9.
Wu, Xiaoqin, Lauren Michelle Lui, Yina Liu, et al.. (2023). Distinct Depth-Discrete Profiles of Microbial Communities and Geochemical Insights in the Subsurface Critical Zone. Applied and Environmental Microbiology. 89(6). e0050023–e0050023. 5 indexed citations
10.
Wooliver, Rachel & Sindhu Jagadamma. (2023). Response of soil organic carbon fractions to cover cropping: A meta-analysis of agroecosystems. Agriculture Ecosystems & Environment. 351. 108497–108497. 42 indexed citations
11.
Hu, Jialin, et al.. (2022). Urea fertilization and grass species alter microbial nitrogen cycling capacity and activity in a C 4 native grassland. PeerJ. 10. e13874–e13874. 2 indexed citations
12.
Panday, Dinesh, et al.. (2022). Cover crop residue influence on soil N 2 O and CO 2 emissions under wetting‐drying intensities: An incubation study. European Journal of Soil Science. 73(5). 8 indexed citations
13.
Abramoff, Rose, Katerina Georgiou, Bertrand Guenet, et al.. (2021). How much carbon can be added to soil by sorption?. Biogeochemistry. 152(2-3). 127–142. 34 indexed citations
14.
Hu, Jialin, Patrick D. Keyser, Lidong Li, et al.. (2021). Ammonia-oxidizing bacterial communities are affected by nitrogen fertilization and grass species in native C 4 grassland soils. PeerJ. 9. e12592–e12592. 5 indexed citations
15.
Sainju, Upendra M., Rajan Ghimire, Umakant Mishra, & Sindhu Jagadamma. (2020). Reducing nitrous oxide emissions and optimizing nitrogen-use efficiency in dryland crop rotations with different nitrogen rates. Nutrient Cycling in Agroecosystems. 116(3). 381–395. 21 indexed citations
16.
Abramoff, Rose, Katerina Georgiou, Bertrand Guenet, et al.. (2020). How much more carbon can be sorbed to soil?. 1 indexed citations
17.
Nouri, Amin, Jaehoon Lee, Daniel C. Yoder, et al.. (2020). Management duration controls the synergistic effect of tillage, cover crop, and nitrogen rate on cotton yield and yield stability. Agriculture Ecosystems & Environment. 301. 107007–107007. 38 indexed citations
18.
Wang, Gangsheng, Sindhu Jagadamma, Melanie A. Mayes, et al.. (2014). Microbial dormancy improves development and experimental validation of ecosystem model. The ISME Journal. 9(1). 226–237. 115 indexed citations
19.
Jagadamma, Sindhu, Melanie A. Mayes, J. Megan Steinweg, & Sean M. Schaeffer. (2014). Substrate quality alters the microbial mineralization of added substrate and soil organic carbon. Biogeosciences. 11(17). 4665–4678. 65 indexed citations
20.
Mayes, Melanie A., et al.. (2012). Developing an Enzyme Mediated Soil Organic Carbon Decomposition Model. AGUFM. 2012. 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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