Yvonne Kallberg

3.1k total citations · 1 hit paper
18 papers, 2.5k citations indexed

About

Yvonne Kallberg is a scholar working on Molecular Biology, Materials Chemistry and Clinical Biochemistry. According to data from OpenAlex, Yvonne Kallberg has authored 18 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Materials Chemistry and 3 papers in Clinical Biochemistry. Recurrent topics in Yvonne Kallberg's work include Enzyme Structure and Function (8 papers), Protein Structure and Dynamics (5 papers) and Genomics and Phylogenetic Studies (4 papers). Yvonne Kallberg is often cited by papers focused on Enzyme Structure and Function (8 papers), Protein Structure and Dynamics (5 papers) and Genomics and Phylogenetic Studies (4 papers). Yvonne Kallberg collaborates with scholars based in Sweden, United Kingdom and France. Yvonne Kallberg's co-authors include Bengt Persson, Udo Oppermann, Hans Jörnvall, Jan Johansson, Erik Nordling, Johan Thyberg, Magnus Gustafsson, Malin Hult, Charlotta Filling and Jawed Shafqat and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and PLoS ONE.

In The Last Decade

Yvonne Kallberg

18 papers receiving 2.4k citations

Hit Papers

Short-chain dehydrogenases/reductases (SDR): the 2002 update 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yvonne Kallberg Sweden 14 1.7k 431 345 308 281 18 2.5k
Erik Nordling Sweden 17 1.2k 0.7× 348 0.8× 258 0.7× 182 0.6× 105 0.4× 30 1.7k
Jan‐Olov Höög Sweden 33 1.4k 0.8× 221 0.5× 244 0.7× 545 1.8× 126 0.4× 75 2.6k
Maria Krook Sweden 15 1.6k 1.0× 495 1.1× 432 1.3× 465 1.5× 175 0.6× 18 2.4k
Jonathan Jeffery United Kingdom 21 1.6k 1.0× 528 1.2× 573 1.7× 676 2.2× 225 0.8× 65 2.8k
Charlotta Filling Sweden 10 981 0.6× 342 0.8× 325 0.9× 223 0.7× 89 0.3× 12 1.5k
Jung‐Ja P. Kim United States 36 2.2k 1.3× 402 0.9× 86 0.2× 380 1.2× 81 0.3× 70 3.3k
Ronald Lindahl United States 31 2.1k 1.2× 281 0.7× 79 0.2× 397 1.3× 220 0.8× 102 3.3k
Burton M. Pogell United States 27 1.4k 0.8× 289 0.7× 480 1.4× 448 1.5× 194 0.7× 61 2.5k
Juana M. Gancedo Spain 32 4.4k 2.6× 388 0.9× 296 0.9× 589 1.9× 1.0k 3.7× 70 5.2k
Tuomo Glumoff Finland 22 1.2k 0.7× 216 0.5× 71 0.2× 184 0.6× 560 2.0× 44 2.1k

Countries citing papers authored by Yvonne Kallberg

Since Specialization
Citations

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

Fields of papers citing papers by Yvonne Kallberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yvonne Kallberg

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

All Works

18 of 18 papers shown
1.
Kallberg, Yvonne, et al.. (2012). The Plant Short-Chain Dehydrogenase (SDR) superfamily: genome-wide inventory and diversification patterns. BMC Plant Biology. 12(1). 219–219. 101 indexed citations
2.
Jörnvall, Hans, Joel Hedlund, Tomas Bergman, et al.. (2012). Origin and evolution of medium chain alcohol dehydrogenases. Chemico-Biological Interactions. 202(1-3). 91–96. 34 indexed citations
3.
Kallberg, Yvonne, et al.. (2012). Evolutionary Conservation of the Ribosomal Biogenesis Factor Rbm19/Mrd1: Implications for Function. PLoS ONE. 7(9). e43786–e43786. 8 indexed citations
4.
Persson, Bengt & Yvonne Kallberg. (2012). Classification and nomenclature of the superfamily of short-chain dehydrogenases/reductases (SDRs). Chemico-Biological Interactions. 202(1-3). 111–115. 121 indexed citations
5.
Joannin, Nicolas, Yvonne Kallberg, Marie Wahlgren, & Bengt Persson. (2011). RSpred, a set of Hidden Markov Models to detect and classify the RIFIN and STEVOR proteins of Plasmodium falciparum. BMC Genomics. 12(1). 119–119. 9 indexed citations
6.
Kallberg, Yvonne, Udo Oppermann, & Bengt Persson. (2010). Classification of the short‐chain dehydrogenase/reductase superfamily using hidden Markov models. FEBS Journal. 277(10). 2375–2386. 144 indexed citations
7.
Persson, Bengt, Yvonne Kallberg, James E. Bray, et al.. (2008). The SDR (short-chain dehydrogenase/reductase and related enzymes) nomenclature initiative. Chemico-Biological Interactions. 178(1-3). 94–98. 323 indexed citations
8.
Nordling, Erik, Yvonne Kallberg, Jan Johansson, & Bengt Persson. (2007). Molecular dynamics studies of α-helix stability in fibril-forming peptides. Journal of Computer-Aided Molecular Design. 22(1). 53–58. 15 indexed citations
9.
Kallberg, Yvonne & Bengt Persson. (2006). Prediction of coenzyme specificity in dehydrogenases/ reductases. FEBS Journal. 273(6). 1177–1184. 48 indexed citations
10.
Nordling, Erik, et al.. (2004). Stabilization of discordant helices in amyloid fibril‐forming proteins. Protein Science. 13(5). 1251–1259. 54 indexed citations
11.
Oppermann, Udo, Charlotta Filling, Malin Hult, et al.. (2003). Short-chain dehydrogenases/reductases (SDR): the 2002 update. Chemico-Biological Interactions. 143-144. 247–253. 552 indexed citations breakdown →
12.
Persson, Bengt, Yvonne Kallberg, Udo Oppermann, & Hans Jörnvall. (2003). Coenzyme-based functional assignments of short-chain dehydrogenases/reductases (SDRs). Chemico-Biological Interactions. 143-144. 271–278. 191 indexed citations
13.
Kallberg, Yvonne, Udo Oppermann, Hans Jörnvall, & Bengt Persson. (2002). Short‐chain dehydrogenase/reductase (SDR) relationships: A large family with eight clusters common to human, animal, and plant genomes. Protein Science. 11(3). 636–641. 203 indexed citations
14.
Kallberg, Yvonne, Udo Oppermann, Hans Jörnvall, & Bengt Persson. (2002). Short‐chain dehydrogenases/reductases (SDRs). European Journal of Biochemistry. 269(18). 4409–4417. 364 indexed citations
15.
Kallberg, Yvonne, Magnus Gustafsson, Bengt Persson, Johan Thyberg, & Jan Johansson. (2001). Prediction of Amyloid Fibril-forming Proteins. Journal of Biological Chemistry. 276(16). 12945–12950. 261 indexed citations
16.
Kallberg, Yvonne & Bengt Persson. (1999). KIND-a non-redundant protein database.. Bioinformatics. 15(3). 260–261. 24 indexed citations
17.
Persson, Bengt, Erik Nordling, Yvonne Kallberg, et al.. (1999). Bioinformatics in Studies of SDR and MDR Enzymes. Advances in experimental medicine and biology. 463. 373–377. 9 indexed citations
18.
Kallberg, Yvonne, Hans Jörnvall, & Bengt Persson. (1998). Implementing the Boyer-Moore Algorithm.. 1 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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