Eva Åkesson

2.1k total citations
34 papers, 1.5k citations indexed

About

Eva Åkesson is a scholar working on Atomic and Molecular Physics, and Optics, Physical and Theoretical Chemistry and Molecular Biology. According to data from OpenAlex, Eva Åkesson has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atomic and Molecular Physics, and Optics, 16 papers in Physical and Theoretical Chemistry and 8 papers in Molecular Biology. Recurrent topics in Eva Åkesson's work include Spectroscopy and Quantum Chemical Studies (16 papers), Photochemistry and Electron Transfer Studies (16 papers) and Photosynthetic Processes and Mechanisms (6 papers). Eva Åkesson is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (16 papers), Photochemistry and Electron Transfer Studies (16 papers) and Photosynthetic Processes and Mechanisms (6 papers). Eva Åkesson collaborates with scholars based in Sweden, United States and Australia. Eva Åkesson's co-authors include Villy Sundström, Alexander N. Tarnovsky, Gilbert C. Walker, Paul F. Barbara, Tomas Gillbro, Jan Hillert, Torbjörn Pascher, Hans Bergström, Kristina Duvefelt and Gudrun Jonasdottir and has published in prestigious journals such as The Journal of Chemical Physics, Nature Genetics and PLoS ONE.

In The Last Decade

Eva Åkesson

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Åkesson Sweden 21 578 493 316 308 217 34 1.5k
Congxin Liang United States 21 416 0.7× 269 0.5× 974 3.1× 97 0.3× 272 1.3× 29 2.2k
Nicholas M. Levinson United States 18 230 0.4× 142 0.3× 741 2.3× 41 0.1× 183 0.8× 27 1.4k
Adam Chamberlin United States 19 318 0.6× 368 0.7× 519 1.6× 27 0.1× 484 2.2× 31 2.3k
Troy W. Whitfield United States 21 577 1.0× 132 0.3× 1.4k 4.5× 79 0.3× 185 0.9× 38 2.2k
Zachary D. Nagel United States 21 147 0.3× 113 0.2× 1.1k 3.5× 49 0.2× 245 1.1× 46 1.7k
Graham Smith Australia 32 74 0.1× 507 1.0× 836 2.6× 159 0.5× 735 3.4× 217 3.2k
Kevin M. Guckian United States 18 89 0.2× 177 0.4× 1.7k 5.4× 126 0.4× 225 1.0× 29 2.3k
Andrea Callegari United States 25 397 0.7× 41 0.1× 623 2.0× 67 0.2× 403 1.9× 49 2.0k
Michael Heming Germany 20 88 0.2× 21 0.0× 328 1.0× 380 1.2× 176 0.8× 50 1.4k
Mark Taylor Australia 15 150 0.3× 49 0.1× 441 1.4× 46 0.1× 36 0.2× 39 936

Countries citing papers authored by Eva Åkesson

Since Specialization
Citations

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

Fields of papers citing papers by Eva Åkesson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Åkesson

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Åkesson. A scholar is included among the top collaborators of Eva Åkesson 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 Eva Åkesson. Eva Åkesson 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.
Elmgren, Maja, Felix M. Ho, Eva Åkesson, Siegbert Schmid, & Marcy H. Towns. (2014). Comparison and Evaluation of Learning Outcomes from an International Perspective: Development of a Best-Practice Process. Journal of Chemical Education. 92(3). 427–432. 9 indexed citations
2.
Lorentzen, Åslaug Rudjord, C. Smestad, Benedicte A. Lie, et al.. (2008). The SH2D2A gene and susceptibility to multiple sclerosis. Journal of Neuroimmunology. 197(2). 152–158. 12 indexed citations
3.
Brynedal, Boel, Kristina Duvefelt, Gudrun Jonasdottir, et al.. (2007). HLA-A Confers an HLA-DRB1 Independent Influence on the Risk of Multiple Sclerosis. PLoS ONE. 2(7). e664–e664. 142 indexed citations
4.
Brüggemann, Ben, Tomáš Polı́vka, Villy Sundström, et al.. (2005). Energy Transfer within Zn-Porphyrin Dendrimers:  Study of the Singlet−Singlet Annihilation Kinetics. The Journal of Physical Chemistry A. 109(47). 10654–10662. 57 indexed citations
5.
Swanberg, Maria, Olle Lidman, Leonid Padyukov, et al.. (2005). MHC2TA is associated with differential MHC molecule expression and susceptibility to rheumatoid arthritis, multiple sclerosis and myocardial infarction. Nature Genetics. 37(5). 486–494. 254 indexed citations
6.
Oturai, Annette, Lars P. Ryder, S. Fredrikson, et al.. (2004). Concordance for disease course and age of onset in Scandinavian multiple sclerosis coaffected sib pairs. Multiple Sclerosis Journal. 10(1). 5–8. 5 indexed citations
7.
Åkesson, Eva, Francesca Coraddu, Maria Giovanna Marrosu, et al.. (2003). Refining the linkage analysis on chromosome 10 in 449 sib-pairs with multiple sclerosis. Journal of Neuroimmunology. 143(1-2). 31–38. 7 indexed citations
8.
Harbo, Hanne F., Pameli Datta, Annette Oturai, et al.. (2003). Two genome-wide linkage disequilibrium screens in Scandinavian multiple sclerosis patients. Journal of Neuroimmunology. 143(1-2). 101–106. 11 indexed citations
9.
Tarnovsky, Alexander N., et al.. (2002). Photodissociation of CH2ICH2I, CF2ICF2I, and CF2BrCF2I in Solution. The Journal of Physical Chemistry A. 106(31). 7090–7098. 18 indexed citations
10.
Tarnovsky, Alexander N., et al.. (2002). Ultrafast Study of the Photodissociation of Bromoiodomethane in Acetonitrile upon 266 nm Excitation. The Journal of Physical Chemistry A. 106(25). 5999–6005. 36 indexed citations
11.
Sawcer, Stephen, Mel Maranian, Efrosini Setakis, et al.. (2002). A whole genome screen for linkage disequilibrium in multiple sclerosis confirms disease associations with regions previously linked to susceptibility. Brain. 125(6). 1337–1347. 87 indexed citations
12.
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14.
Martinsson, Peter, Villy Sundström, & Eva Åkesson. (2000). An ultrafast time‐resolved anisotropy study of bacteriochlorophyll a in pyridine. FEBS Letters. 465(2-3). 107–109. 9 indexed citations
15.
Tarnovsky, Alexander N., et al.. (2000). Photodissociation Dynamics of Chloroiodomethane in Acetonitrile Studied by Ultrafast Pump‐Probe Spectroscopy. Journal of the Chinese Chemical Society. 47(4A). 769–772. 25 indexed citations
16.
Tarnovsky, Alexander N., et al.. (1999). Photodissociation dynamics of diiodomethane in solution. Chemical Physics Letters. 312(2-4). 121–130. 83 indexed citations
17.
Yartsev, Arkady, et al.. (1998). Resolving the Turnover of Temperature Dependence of the Reaction Rate in Barrierless Isomerization. The Journal of Physical Chemistry B. 102(39). 7651–7658. 18 indexed citations
18.
Martinsson, Peter, et al.. (1998). Transient Hole Burning and Solvation Dynamics of Chlorophyll b Monomers in Various Solvent Environments. The Journal of Physical Chemistry A. 102(23). 4328–4336. 24 indexed citations
19.
Bergström, Hans, Villy Sundström, Rienk van Grondelle, Eva Åkesson, & Tomas Gillbro. (1986). Energy transfer within the isolated light-harvesting B800–850 pigment-protein complex of Rhodobacter sphaeroides. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 852(2-3). 279–287. 29 indexed citations
20.
Åkesson, Eva, Villy Sundström, & Tomas Gillbro. (1985). Solvent-dependent barrier heights of excited-state photoisomerization reactions. Chemical Physics Letters. 121(6). 513–522. 52 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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