Annikki Mäkelä

12.2k total citations
180 papers, 7.0k citations indexed

About

Annikki Mäkelä is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Plant Science. According to data from OpenAlex, Annikki Mäkelä has authored 180 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Global and Planetary Change, 105 papers in Nature and Landscape Conservation and 35 papers in Plant Science. Recurrent topics in Annikki Mäkelä's work include Plant Water Relations and Carbon Dynamics (101 papers), Forest ecology and management (98 papers) and Forest Management and Policy (30 papers). Annikki Mäkelä is often cited by papers focused on Plant Water Relations and Carbon Dynamics (101 papers), Forest ecology and management (98 papers) and Forest Management and Policy (30 papers). Annikki Mäkelä collaborates with scholars based in Finland, United States and Sweden. Annikki Mäkelä's co-authors include Harry T. Valentine, Eero Nikinmaa, Petteri Vanninen, Paula Vanninen, Pertti Hari, Risto Sievänen, Harri Mäkinen, Hannu Ilvesniemi, Jari Liski and Frank Berninger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Annikki Mäkelä

174 papers receiving 6.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annikki Mäkelä Finland 48 5.1k 3.7k 1.6k 1.5k 996 180 7.0k
Eero Nikinmaa Finland 46 4.7k 0.9× 2.1k 0.6× 2.4k 1.5× 2.1k 1.4× 1.1k 1.1× 142 6.3k
Kurt H. Johnsen United States 37 3.1k 0.6× 1.8k 0.5× 1.6k 1.0× 1.1k 0.8× 609 0.6× 120 4.8k
Jean‐Christophe Domec United States 55 6.8k 1.3× 2.4k 0.6× 2.9k 1.8× 3.4k 2.3× 1.2k 1.2× 157 8.6k
R. E. McMurtrie Australia 48 5.0k 1.0× 2.4k 0.7× 2.6k 1.6× 1.5k 1.0× 1.6k 1.6× 77 7.5k
Josep Piñol Spain 36 3.3k 0.6× 1.4k 0.4× 1.7k 1.1× 1.4k 0.9× 2.1k 2.1× 90 6.0k
Christopher M. Gough United States 45 4.4k 0.9× 2.1k 0.6× 783 0.5× 895 0.6× 2.3k 2.3× 124 6.3k
Paulo M. Fernandes Portugal 47 6.7k 1.3× 2.2k 0.6× 591 0.4× 546 0.4× 2.2k 2.2× 203 7.8k
Hans Verbeeck Belgium 37 2.9k 0.6× 1.9k 0.5× 653 0.4× 819 0.6× 1.2k 1.2× 152 4.8k
B. D. Amiro Canada 41 5.5k 1.1× 903 0.2× 636 0.4× 1.9k 1.3× 2.1k 2.1× 107 6.7k
D. J. Moore United States 38 4.2k 0.8× 1.2k 0.3× 1.7k 1.0× 2.0k 1.4× 1.6k 1.6× 120 6.2k

Countries citing papers authored by Annikki Mäkelä

Since Specialization
Citations

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

Fields of papers citing papers by Annikki Mäkelä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annikki Mäkelä

This figure shows the co-authorship network connecting the top 25 collaborators of Annikki Mäkelä. A scholar is included among the top collaborators of Annikki Mäkelä 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 Annikki Mäkelä. Annikki Mäkelä 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.
Peltoniemi, Mikko, et al.. (2025). Soil carbon and nitrogen in unmanaged forests in Southern and Eastern Finland. Silva Fennica. 59(3).
2.
Reyer, Christopher, Thomas A. Nagel, Annikki Mäkelä, et al.. (2024). Reconciling the EU forest, biodiversity, and climate strategies. Global Change Biology. 30(8). e17431–e17431. 10 indexed citations
4.
Larjavaara, Markku, Mikko Auvinen, Anu Kantola, & Annikki Mäkelä. (2021). Wind and gravity in shaping Picea trunks. Trees. 35(5). 1587–1599. 2 indexed citations
5.
Schiestl‐Aalto, Pauliina, Zsofia R. Stangl, Lasse Tarvainen, et al.. (2020). Linking canopy‐scale mesophyll conductance and phloem sugar δ13C using empirical and modelling approaches. New Phytologist. 229(6). 3141–3155. 11 indexed citations
6.
Minunno, Francesco, et al.. (2020). Extending the range of applicability of the semi‐empirical ecosystem flux model PRELES for varying forest types and climate. Global Change Biology. 26(5). 2923–2943. 19 indexed citations
7.
Collalti, Alessio, Mark G. Tjoelker, Günter Hoch, et al.. (2019). Plant respiration: Controlled by photosynthesis or biomass?. Global Change Biology. 26(3). 1739–1753. 86 indexed citations
8.
Ruiz‐Benito, Paloma, Giorgio Vacchiano, Emily R. Lines, et al.. (2019). Available and missing data to model impact of climate change on European forests. Ecological Modelling. 416. 108870–108870. 50 indexed citations
9.
Minunno, Francesco, Mikko Peltoniemi, Samuli Launiainen, et al.. (2015). A simplified gross primary production and evapotranspiration model for boreal coniferous forests – is a generic calibration sufficient?. 3 indexed citations
10.
Minunno, Francesco, Mikko Peltoniemi, Samuli Launiainen, & Annikki Mäkelä. (2014). Integrating ecosystems measurements from multiple eddy-covariance sites to a simple model of ecosystem process - Are there possibilities for a uniform model calibration?. EGU General Assembly Conference Abstracts. 10706. 1 indexed citations
11.
Härkönen, Sanna, Timo Tokola, Petteri Packalén, Lauri Korhonen, & Annikki Mäkelä. (2013). Predicting forest growth based on airborne light detection and ranging data, climate data, and a simplified process-based model. Canadian Journal of Forest Research. 43(4). 364–375. 6 indexed citations
12.
Mäkinen, Harri, Annikki Mäkelä, & Jari Hynynen. (2009). Predicting wood and branch properties of Norway spruce as a part of a stand growth simulation system.. Jukuri (Natural Resources Institute Finland (Luke)). 15–21. 2 indexed citations
13.
Mäkinen, Harri, et al.. (2009). Predicting lumber grade and by-product yields for standing Scots pine trees.. Jukuri (Natural Resources Institute Finland (Luke)). 157–166. 1 indexed citations
14.
Vanninen, Petteri, et al.. (2006). PuMe — INTERACTIVE LEARNING ENVIRONMENT EMPLOYING THE PIPEQUAL MODEL FOR FOREST GROWTH AND WOOD QUALITY*. New Zealand journal of forestry science. 36. 280–292. 6 indexed citations
15.
Hari, Pertti, Annikki Mäkelä, & Toivo Pohja. (2000). Surprising implications of the optimality hypothesis of stomatal regulation gain support in a field test. Australian Journal of Plant Physiology. 27(1). 77–80. 30 indexed citations
16.
Liski, Jari, Hannu Ilvesniemi, Annikki Mäkelä, & Carl Johan Westman. (1999). CO2 EMISSIONS FROM SOIL IN RESPONSE TO CLIMATIC WARMING ARE OVERESTIMATED:THE DECOMPOSITION OF OLD SOIL ORGANIC MATTER IS TOLERANT OF TEMPERATURE. AMBIO. 28(2). 171–174. 244 indexed citations
17.
Hari, Pertti, Annikki Mäkelä, Frank Berninger, & Toivo Pohja. (1999). Field evidence for the optimality hypothesis of gas exchange in plants. Australian Journal of Plant Physiology. 26(3). 239–244. 56 indexed citations
18.
Apajasalo, Marjo, Harri Sintonen, Martti A. Siimes, et al.. (1996). Health-related quality of life of adults surviving malignancies in childhood. European Journal of Cancer Prevention. 1354–1358. 3 indexed citations
19.
Mäkelä, Annikki. (1989). A regional model for risk to forests by direct impacts of sulfur. Systems Analysis Modelling Simulation. 6(6). 439–450. 1 indexed citations
20.
Mäkelä, Annikki, et al.. (1980). Eco-physiological studies on young Scots pine stands. III. Photosynthate allocation for needle growth and wood formation in current-year shoots.. Silva Fennica. 14(3). 258–263. 2 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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