Tea Thum

2.0k total citations
36 papers, 1.4k citations indexed

About

Tea Thum is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, Tea Thum has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Global and Planetary Change, 7 papers in Atmospheric Science and 6 papers in Ecology. Recurrent topics in Tea Thum's work include Plant Water Relations and Carbon Dynamics (21 papers), Atmospheric and Environmental Gas Dynamics (16 papers) and Climate variability and models (8 papers). Tea Thum is often cited by papers focused on Plant Water Relations and Carbon Dynamics (21 papers), Atmospheric and Environmental Gas Dynamics (16 papers) and Climate variability and models (8 papers). Tea Thum collaborates with scholars based in Finland, Germany and Canada. Tea Thum's co-authors include Mika Aurela, Tuomas Laurila, Tuula Aalto, Timo Vesala, Annalea Lohila, Jari Liski, Philipp Köhler, Luis Guanter, Alemu Gonsamo and Andrej Varlagin and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and Remote Sensing of Environment.

In The Last Decade

Tea Thum

32 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tea Thum Finland 19 916 475 373 239 200 36 1.4k
Songhan Wang China 21 901 1.0× 560 1.2× 324 0.9× 293 1.2× 288 1.4× 54 1.5k
Camilo Rey‐Sánchez United States 20 1.0k 1.1× 742 1.6× 249 0.7× 196 0.8× 260 1.3× 29 1.5k
Jan Pokorný Czechia 19 361 0.4× 417 0.9× 116 0.3× 172 0.7× 168 0.8× 62 1.1k
Kyle S. Hemes United States 20 777 0.8× 575 1.2× 165 0.4× 131 0.5× 128 0.6× 30 1.2k
Patricia Y. Oikawa United States 23 689 0.8× 468 1.0× 268 0.7× 119 0.5× 235 1.2× 30 1.2k
Yuelin Li China 22 819 0.9× 361 0.8× 297 0.8× 145 0.6× 329 1.6× 60 1.6k
Daniela Famulari United Kingdom 22 611 0.7× 260 0.5× 483 1.3× 361 1.5× 160 0.8× 39 1.4k
Zhiping Wang China 19 587 0.6× 361 0.8× 187 0.5× 89 0.4× 128 0.6× 39 1.1k
Guofang Miao United States 21 893 1.0× 729 1.5× 312 0.8× 135 0.6× 349 1.7× 47 1.7k

Countries citing papers authored by Tea Thum

Since Specialization
Citations

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

Fields of papers citing papers by Tea Thum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tea Thum

This figure shows the co-authorship network connecting the top 25 collaborators of Tea Thum. A scholar is included among the top collaborators of Tea Thum 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 Tea Thum. Tea Thum 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.
2.
Tuovinen, Juha‐Pekka, Liisa Kulmala, Mika Aurela, et al.. (2025). Improved uncertainty estimates for eddy covariance-based carbon dioxide balances using deep ensembles for gap-filling. Agricultural and Forest Meteorology. 371. 110558–110558.
3.
Park, Sung‐Bin, Alexander Knohl, Mirco Migliavacca, et al.. (2021). Temperature Control of Spring CO2 Fluxes at a Coniferous Forest and a Peat Bog in Central Siberia. Atmosphere. 12(8). 984–984. 6 indexed citations
4.
Caldararu, Silvia, Tea Thum, Lin Yu, et al.. (2021). Long‐term ecosystem nitrogen limitation from foliar δ 15 N data and a land surface model. Global Change Biology. 28(2). 493–508. 10 indexed citations
5.
Thum, Tea, Julia E. M. S. Nabel, Aki Tsuruta, et al.. (2020). Evaluating two soil carbon models within the global land surface model JSBACH using surface and spaceborne observations of atmospheric CO 2. Biogeosciences. 17(22). 5721–5743. 4 indexed citations
6.
Caldararu, Silvia, Tea Thum, Lin Yu, & Sönke Zaehle. (2019). Whole‐plant optimality predicts changes in leaf nitrogen under variable CO 2 and nutrient availability. New Phytologist. 225(6). 2331–2346. 26 indexed citations
7.
Mäkelä, Jarmo, Jürgen Knauer, Mika Aurela, et al.. (2019). Land surface model photosynthesis and parameter calibration for boreal sites with adaptive population importance sampler. 2 indexed citations
8.
Mäkelä, Jarmo, Jürgen Knauer, Mika Aurela, et al.. (2019). Parameter calibration and stomatal conductance formulation comparison for boreal forests with adaptive population importance sampler in the land surface model JSBACH. Geoscientific model development. 12(9). 4075–4098. 16 indexed citations
9.
Thum, Tea, Silvia Caldararu, Jan Engel, et al.. (2019). A new model of the coupled carbon, nitrogen, and phosphorus cycles in the terrestrial biosphere (QUINCY v1.0; revision 1996). Geoscientific model development. 12(11). 4781–4802. 47 indexed citations
10.
Thum, Tea, Sönke Zaehle, Philipp Köhler, et al.. (2017). Modelling sun-induced fluorescence and photosynthesis with a land surface model at local and regional scales in northern Europe. Biogeosciences. 14(7). 1969–1987. 43 indexed citations
11.
Gao, Yao, Tiina Markkanen, Tea Thum, et al.. (2016). Assessing various drought indicators in representing summer drought in boreal forests in Finland. Hydrology and earth system sciences. 20(1). 175–191. 39 indexed citations
12.
MacBean, Natasha, Sébastien Léonard, Fabienne Maignan, et al.. (2014). How best to optimize a global process-based carbon land surface model ?. EGU General Assembly Conference Abstracts. 10302. 1 indexed citations
13.
Peylin, Philippe, Natasha MacBean, Cédric Bacour, et al.. (2013). Optimization of the process-based global model, ORCHIDEE, using multiple data streams (in-situ FluxNet NEE, LE and biomass, satellite NDVI, and atmospheric CO2 data). EGUGA. 1 indexed citations
14.
Thum, Tea, Petri Räisänen, Sanna Sevanto, et al.. (2011). Soil carbon model alternatives for ECHAM5/JSBACH climate model: Evaluation and impacts on global carbon cycle estimates. Journal of Geophysical Research Atmospheres. 116(G2). 39 indexed citations
15.
Thum, Tea, Tuula Aalto, Tuomas Laurila, et al.. (2009). Modelling effect of frost on carbon dioxide gas exchange in northern boreal coniferous forest. EGUGA. 13(19). 8447–2802. 1 indexed citations
16.
Thum, Tea. (2009). Modelling boreal forest CO2 exchange and seasonality. Työväentutkimus Vuosikirja. 4 indexed citations
17.
Thum, Tea, Tuula Aalto, Tuomas Laurila, et al.. (2008). Assessing seasonality of biochemical CO 2 exchange model parameters from micrometeorological flux observations at boreal coniferous forest. Biogeosciences. 5(6). 1625–1639. 26 indexed citations
18.
Aalto, Tuula, Juha Hatakka, Ute Karstens, et al.. (2006). Modeling atmospheric CO 2 concentration profiles and fluxes above sloping terrain at a boreal site. Atmospheric chemistry and physics. 6(2). 303–314. 10 indexed citations
19.
Juurola, Eija, Tuula Aalto, Tea Thum, Timo Vesala, & Pertti Hari. (2005). Temperature dependence of leaf‐level CO2 fixation: revising biochemical coefficients through analysis of leaf three‐dimensional structure. New Phytologist. 166(1). 205–215. 17 indexed citations
20.
Vehkamäki, Hanna, Miikka Dal Maso, Tareq Hussein, et al.. (2004). Atmospheric particle formation events at Värriö measurement station in Finnish Lapland 1998-2002. Atmospheric chemistry and physics. 4(7). 2015–2023. 83 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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