Tiina Roose

6.6k total citations
126 papers, 4.3k citations indexed

About

Tiina Roose is a scholar working on Plant Science, Civil and Structural Engineering and Soil Science. According to data from OpenAlex, Tiina Roose has authored 126 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Plant Science, 37 papers in Civil and Structural Engineering and 31 papers in Soil Science. Recurrent topics in Tiina Roose's work include Plant nutrient uptake and metabolism (45 papers), Soil and Unsaturated Flow (34 papers) and Soil Carbon and Nitrogen Dynamics (19 papers). Tiina Roose is often cited by papers focused on Plant nutrient uptake and metabolism (45 papers), Soil and Unsaturated Flow (34 papers) and Soil Carbon and Nitrogen Dynamics (19 papers). Tiina Roose collaborates with scholars based in United Kingdom, Germany and Austria. Tiina Roose's co-authors include S. Jonathan Chapman, Davey L. Jones, Andrea Schnepf, Philip K. Maini, K. R. Daly, A. C. Fowler, G. J. D. Kirk, Samuel D. Keyes, Nicolai Koebernick and Peter J. Talboys and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and ACS Nano.

In The Last Decade

Tiina Roose

124 papers receiving 4.2k citations

Peers

Tiina Roose

CSE

Hongqing Wang China

Longfei Wang China

Zhiqiang Deng United States

Yanhua Wang China

Bo Zhang China

Amitava Chatterjee United States

Michael F. Ochs United States

Dantong Liu China

Shiqing Li China

Jianli Liu China

Hongqing Wang China

Tiina Roose

1.1k ×0.6

356 ×0.4

126 ×0.2

CSE

13 ×0.0

544 ×1.3

Citations per year, relative to Tiina Roose Tiina Roose (= 1×) peers Hongqing Wang

Countries citing papers authored by Tiina Roose

Since Specialization

Citations

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

Fields of papers citing papers by Tiina Roose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiina Roose

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

All Works

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20 of 20 papers shown

Fletcher, Daniel McKay, Alberto Leonardi, Katherine Williams, et al.. (2025). Coupled X-ray imaging/diffraction reveals soil mechanics during analogous root growth. PubMed. 2(1). 17–17.

George, Timothy, Davide Bulgarelli, Andrea Carminati, et al.. (2024). Bottom-up perspective – The role of roots and rhizosphere in climate change adaptation and mitigation in agroecosystems. Plant and Soil. 500(1-2). 297–323. 20 indexed citations

White, Steven M., et al.. (2024). A mathematical model of biofilm growth and spread within plant xylem: Case study of Xylella fastidiosa in olive trees. Journal of Theoretical Biology. 581. 111737–111737. 1 indexed citations

Bull, Daniel, Joel Smethurst, Gerrit Meijer, et al.. (2022). Modelling of stress transfer in root-reinforced soils informed by four-dimensional X-ray computed tomography and digital volume correlation data. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 478(2257). 20210210–20210210. 6 indexed citations

Veelen, Arjen van, et al.. (2020). Developing a system for in vivo imaging of maize roots containing iodinated contrast media in soil using synchrotron XCT and XRF. Plant and Soil. 460(1-2). 647–665. 7 indexed citations

Kirk, G. J. D., et al.. (2019). Soil carbon dioxide venting through rice roots. Plant Cell & Environment. 42(12). 3197–3207. 19 indexed citations

Boghi, Andrea, Tiina Roose, & G. J. D. Kirk. (2018). A Model of Uranium Uptake by Plant Roots Allowing for Root-Induced Changes in the soil. Environmental Science & Technology. 52(6). 3536–3545. 33 indexed citations

Veelen, Arjen van, et al.. (2018). Imaging and modelling of rhizosphere processes. EGU General Assembly Conference Abstracts. 18157. 1 indexed citations

Koebernick, Nicolai, Muhammad Naveed, K. R. Daly, et al.. (2018). Root induced compaction alleviation by root hairs - visualization with synchrotron imaging. EGU General Assembly Conference Abstracts. 8410. 1 indexed citations

10.

Cooper, Laura, Berit Zeller‐Plumhoff, Geraldine Clough, Bharathram Ganapathisubramani, & Tiina Roose. (2018). Using high resolution X-ray computed tomography to create an image based model of a lymph node. Journal of Theoretical Biology. 449. 73–82. 10 indexed citations

11.

Naveed, Muhammad, Lawrie K. Brown, Annette Raffan, et al.. (2017). Physical engineering of rhizosphere by plant exudates varies with species, origin and microbial decomposition. EGUGA. 14148. 1 indexed citations

12.

Hibberd, Timothy J., et al.. (2016). Measurement of strains experienced by viscerofugal nerve cell bodies during mechanosensitive firing using digital image correlation. American Journal of Physiology-Gastrointestinal and Liver Physiology. 311(5). G869–G879. 6 indexed citations

13.

Daly, K. R., Samuel D. Keyes, Shakil Masum, & Tiina Roose. (2016). Image-based modelling of nutrient movement in and around the rhizosphere. Journal of Experimental Botany. 67(4). 1059–1070. 43 indexed citations

14.

Richardson, Giles, et al.. (2012). A Model for Fluid Drainage by the Lymphatic System. Bulletin of Mathematical Biology. 75(1). 49–81. 11 indexed citations

15.

Zygalakis, Konstantinos C., G. J. D. Kirk, Davey L. Jones, Matthias Wissuwa, & Tiina Roose. (2011). A dual porosity model of nutrient uptake by root hairs. New Phytologist. 192(3). 676–688. 53 indexed citations

16.

Schnepf, Andrea, Davey L. Jones, & Tiina Roose. (2011). Modelling Nutrient Uptake by Individual Hyphae of Arbuscular Mycorrhizal Fungi: Temporal and Spatial Scales for an Experimental Design. Bulletin of Mathematical Biology. 73(9). 2175–2200. 31 indexed citations

17.

Leitner, Daniel, Andrea Schnepf, Sabine Klepsch, & Tiina Roose. (2010). Comparison of nutrient uptake between three‐dimensional simulation and an averaged root system model. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 144(2). 443–447. 14 indexed citations

18.

Leitner, Daniel, Andrea Schnepf, Sabine Klepsch, & Tiina Roose. (2010). Water uptake by a maize root system - An explicit numerical 3-dimensional simulation.. EGU General Assembly Conference Abstracts. 8473. 1 indexed citations

19.

Modok, Szabolcs, Richard T. Scott, Rebecca A. Alderden, et al.. (2007). Transport kinetics of four- and six-coordinate platinum compounds in the multicell layer tumour model. British Journal of Cancer. 97(2). 194–200. 28 indexed citations

20.

Roose, Tiina & A. C. Fowler. (2004). A model for water uptake by plant roots. Journal of Theoretical Biology. 228(2). 155–171. 89 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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