Eusun Han

784 total citations
23 papers, 489 citations indexed

About

Eusun Han is a scholar working on Soil Science, Plant Science and Agronomy and Crop Science. According to data from OpenAlex, Eusun Han has authored 23 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Soil Science, 13 papers in Plant Science and 9 papers in Agronomy and Crop Science. Recurrent topics in Eusun Han's work include Soil Carbon and Nitrogen Dynamics (10 papers), Plant nutrient uptake and metabolism (8 papers) and Agronomic Practices and Intercropping Systems (6 papers). Eusun Han is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (10 papers), Plant nutrient uptake and metabolism (8 papers) and Agronomic Practices and Intercropping Systems (6 papers). Eusun Han collaborates with scholars based in Denmark, Germany and Australia. Eusun Han's co-authors include Timo Kautz, Ulrich Köpke, Miriam Athmann, Kristian Thorup‐Kristensen, Ning Huang, Ute Perkons, Dorte Bodin Dresbøll, Abraham George Smith, Jens Petersen and Daniel Uteau and has published in prestigious journals such as New Phytologist, Trends in Plant Science and Journal of Experimental Botany.

In The Last Decade

Eusun Han

22 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eusun Han Denmark	12	320	218	134	52	51	23	489
Craig Scanlan Australia	14	179 0.6×	185 0.8×	69 0.5×	90 1.7×	25 0.5×	36	413
Diana Martín‐Lammerding Spain	13	191 0.6×	286 1.3×	133 1.0×	55 1.1×	105 2.1×	24	481
A. M. Hashemi United States	10	315 1.0×	323 1.5×	249 1.9×	65 1.3×	69 1.4×	14	620
Lichao Zhai China	13	298 0.9×	250 1.1×	290 2.2×	42 0.8×	43 0.8×	24	552
Ute Perkons Germany	10	348 1.1×	396 1.8×	148 1.1×	118 2.3×	72 1.4×	15	617
Mariela Fuentes Mexico	7	183 0.6×	357 1.6×	156 1.2×	58 1.1×	81 1.6×	9	517
Michael J. Buschermohle United States	9	159 0.5×	197 0.9×	88 0.7×	58 1.1×	67 1.3×	24	409
Anderson Prates Coelho Brazil	11	235 0.7×	167 0.8×	106 0.8×	17 0.3×	50 1.0×	84	383
Biangkham Souliyanonh China	5	146 0.5×	211 1.0×	65 0.5×	76 1.5×	28 0.5×	7	388
Randy Boman United States	13	328 1.0×	186 0.9×	123 0.9×	22 0.4×	59 1.2×	30	446

Countries citing papers authored by Eusun Han

Since Specialization

Citations

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

Fields of papers citing papers by Eusun Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eusun Han

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Phalempin, Maxime, Hannah Schneider, Eusun Han, Lingyun Cheng, & Doris Vetterlein. (2025). Designing future roots with the power of databases. Trends in Plant Science. 30(5). 439–441. 1 indexed citations

Madsen, Claus Krogh, et al.. (2025). Root mixture analysis: methods and vision. Trends in Plant Science. 30(9). 1020–1032.

Athmann, Miriam, Eusun Han, Ute Perkons, et al.. (2024). Do biopores created by perennial fodder crops improve the growth of subsequent annual crops? A synthesis of multiple field experiments. Field Crops Research. 322. 109687–109687. 3 indexed citations

He, Di, Enli Wang, John A. Kirkegaard, et al.. (2024). Usefulness of techniques to measure and model crop growth and yield at different spatial scales. Field Crops Research. 309. 109332–109332. 3 indexed citations

Han, Eusun, John A. Kirkegaard, & Kristian Thorup‐Kristensen. (2024). Temporary growth cessation of wheat roots following defoliation. Plant and Soil. 1 indexed citations

Han, Eusun, et al.. (2023). The Chlorophyll Fluorescence Parameter Fv/Fm Correlates with Loss of Grain Yield after Severe Drought in Three Wheat Genotypes Grown at Two CO2 Concentrations. Plants. 12(3). 436–436. 37 indexed citations

Han, Eusun, et al.. (2023). The enhancing effect of intercropping sugar beet with chicory on the deep root growth and nutrient uptake. Agriculture Ecosystems & Environment. 347. 108360–108360. 12 indexed citations

Han, Eusun, John A. Kirkegaard, Rosemary G. White, et al.. (2022). Deep learning with multisite data reveals the lasting effects of soil type, tillage and vegetation history on biopore genesis. Geoderma. 425. 116072–116072. 11 indexed citations

Smith, Abraham George, Eusun Han, Jens Petersen, et al.. (2022). R oot P ainter : deep learning segmentation of biological images with corrective annotation. New Phytologist. 236(2). 774–791. 94 indexed citations

10.

Han, Eusun, et al.. (2022). Exploitation of neighbouring subsoil for nutrient acquisition under annual-perennial strip intercropping systems. Agriculture Ecosystems & Environment. 338. 108106–108106. 5 indexed citations

11.

Rose, Terry J., Shahnaj Parvin, Eusun Han, et al.. (2022). Prospects for summer cover crops in southern Australian semi-arid cropping systems. Agricultural Systems. 200. 103415–103415. 28 indexed citations

12.

Han, Eusun, Abraham George Smith, Rosemary G. White, et al.. (2021). Digging roots is easier with AI. Journal of Experimental Botany. 72(13). 4680–4690. 21 indexed citations

13.

Han, Eusun, Dorte Bodin Dresbøll, & Kristian Thorup‐Kristensen. (2021). Tracing deep P uptake potential in arable subsoil using radioactive 33P isotope. Plant and Soil. 472(1-2). 91–104. 6 indexed citations

14.

Han, Eusun, Dorte Bodin Dresbøll, & Kristian Thorup‐Kristensen. (2020). Core-labelling technique (CLT): a novel combination of the ingrowth-core method and tracer technique for deep root study. Plant Methods. 16(1). 84–84. 11 indexed citations

15.

Huang, Ning, Miriam Athmann, & Eusun Han. (2020). Biopore-Induced Deep Root Traits of Two Winter Crops. Agriculture. 10(12). 634–634. 21 indexed citations

16.

Köpke, Ulrich, Miriam Athmann, Eusun Han, & Timo Kautz. (2015). Optimising Cropping Techniques for Nutrient and Environmental Management in Organic Agriculture. Sustainable Agriculture Research. 4(3). 15–15. 22 indexed citations

17.

Han, Eusun, et al.. (2015). Quantification of soil biopore density after perennial fodder cropping. Plant and Soil. 394(1-2). 73–85. 51 indexed citations

18.

Han, Eusun, Timo Kautz, Ute Perkons, et al.. (2015). Root growth dynamics inside and outside of soil biopores as affected by crop sequence determined with the profile wall method. Biology and Fertility of Soils. 51(7). 847–856. 77 indexed citations

19.

Han, Eusun, et al.. (2015). Effects of Biodynamic Preparation 500 (P500) Cow Horn Manure on Early Growth of Barley, Pea, Quinoa, and Tomato under Saline Stress Conditions. Organic Eprints (International Centre for Research in Organic Food Systems, and Research Institute of Organic Agriculture). 1 indexed citations

20.

Han, Eusun, Timo Kautz, & Ulrich Köpke. (2015). Precrop root system determines root diameter of subsequent crop. Biology and Fertility of Soils. 52(1). 113–118. 30 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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