Thomas Åkerlund

3.3k total citations
36 papers, 2.1k citations indexed

About

Thomas Åkerlund is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Thomas Åkerlund has authored 36 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Infectious Diseases, 18 papers in Epidemiology and 7 papers in Molecular Biology. Recurrent topics in Thomas Åkerlund's work include Clostridium difficile and Clostridium perfringens research (25 papers), Microscopic Colitis (16 papers) and Viral gastroenteritis research and epidemiology (8 papers). Thomas Åkerlund is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (25 papers), Microscopic Colitis (16 papers) and Viral gastroenteritis research and epidemiology (8 papers). Thomas Åkerlund collaborates with scholars based in Sweden, United States and France. Thomas Åkerlund's co-authors include Lars Burman, Rolf Bernander, Torbjörn Norén, Karl Nordström, Bo Svenungsson, Magnus Unemo, Marlene Wullt, Ingela Persson, Å. Lagergren and Elisabeth Norin and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Bacteriology.

In The Last Decade

Thomas Åkerlund

36 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas Åkerlund 1.5k 921 592 294 266 36 2.1k
Paul E. Carlson 1.0k 0.7× 472 0.5× 1.2k 2.1× 283 1.0× 191 0.7× 50 2.0k
Michael Mallozzi 699 0.5× 285 0.3× 473 0.8× 190 0.6× 174 0.7× 21 1.2k
Christopher B. Ford 1.3k 0.9× 1.0k 1.1× 810 1.4× 191 0.6× 413 1.6× 42 2.1k
Esmeralda Valiente 968 0.6× 317 0.3× 431 0.7× 72 0.2× 242 0.9× 29 1.3k
Arnau Domenech 228 0.1× 564 0.6× 347 0.6× 133 0.5× 61 0.2× 52 1.3k
Gemma L. Kay 281 0.2× 342 0.4× 456 0.8× 97 0.3× 132 0.5× 34 1.2k
Markus Sauerborn 984 0.6× 212 0.2× 320 0.5× 69 0.2× 132 0.5× 14 1.3k
Claire Hennequin 452 0.3× 224 0.2× 441 0.7× 114 0.4× 105 0.4× 20 1.0k
Jean François Rossignol 587 0.4× 417 0.5× 130 0.2× 42 0.1× 208 0.8× 22 1.4k
Natasha Naidu 380 0.2× 220 0.2× 760 1.3× 152 0.5× 127 0.5× 11 1.3k

Countries citing papers authored by Thomas Åkerlund

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Åkerlund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Åkerlund

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Åkerlund. A scholar is included among the top collaborators of Thomas Åkerlund 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 Thomas Åkerlund. Thomas Åkerlund 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.
Lagerqvist, Nina, Kimia T. Maleki, Joakim Dillner, et al.. (2021). Evaluation of 11 SARS-CoV-2 antibody tests by using samples from patients with defined IgG antibody titers. Scientific Reports. 11(1). 7614–7614. 22 indexed citations
2.
Åkerlund, Thomas, et al.. (2019). Impact of ribotype on Clostridioides difficile diagnostics. European Journal of Clinical Microbiology & Infectious Diseases. 39(5). 847–853. 4 indexed citations
3.
Harvala, Heli, et al.. (2016). Emergence and spread of moxifloxacin-resistant Clostridium difficile ribotype 231 in Sweden between 2006 and 2015. New Microbes and New Infections. 14. 58–66. 8 indexed citations
4.
Åkerlund, Thomas, et al.. (2015). High Molecular Weight Typing with MALDI-TOF MS - A Novel Method for Rapid Typing of Clostridium difficile. PLoS ONE. 10(4). e0122457–e0122457. 31 indexed citations
5.
Norén, Torbjörn, et al.. (2010). Rapid and Sensitive Loop-Mediated Isothermal Amplification Test for Clostridium difficile Detection Challenges Cytotoxin B Cell Test and Culture as Gold Standard. Journal of Clinical Microbiology. 49(2). 710–711. 56 indexed citations
6.
Norén, Torbjörn, et al.. (2009). In vitro susceptibility to 17 antimicrobials of clinical Clostridium difficile isolates collected in 1993–2007 in Sweden. Clinical Microbiology and Infection. 16(8). 1104–1110. 48 indexed citations
7.
Burman, Lars, et al.. (2008). Induction of toxins in Clostridium difficile is associated with dramatic changes of its metabolism. Microbiology. 154(11). 3430–3436. 80 indexed citations
8.
Norén, Torbjörn, Thomas Åkerlund, Marlene Wullt, Lars Burman, & Magnus Unemo. (2007). Mutations in fusA Associated with Posttherapy Fusidic Acid Resistance in Clostridium difficile. Antimicrobial Agents and Chemotherapy. 51(5). 1840–1843. 19 indexed citations
9.
Starck, Joachim, Gunilla Källenius, Britt‐Inger Marklund, Dan I. Andersson, & Thomas Åkerlund. (2004). Comparative proteome analysis of Mycobacterium tuberculosis grown under aerobic and anaerobic conditions. Microbiology. 150(11). 3821–3829. 121 indexed citations
10.
Wullt, Marlene, Lars Burman, Martin Laurell, & Thomas Åkerlund. (2003). Comparison of AP-PCR typing and PCR-ribotyping for estimation of nosocomial transmission of Clostridium difficile. Journal of Hospital Infection. 55(2). 124–130. 14 indexed citations
11.
Dupuy, Bruno, et al.. (2003). Expression of Clostridium difficile Toxins A and B and Their Sigma Factor TcdD Is Controlled by Temperature. Infection and Immunity. 71(4). 1784–1793. 69 indexed citations
12.
Åkerlund, Thomas, et al.. (2002). Effects of the Min system on nucleoid segregation in Escherichia coli. Microbiology. 148(10). 3213–3222. 25 indexed citations
13.
Mukherjee, Kakoli, et al.. (2002). Proteins released during high toxin production in Clostridium difficile. Microbiology. 148(7). 2245–2253. 49 indexed citations
14.
Normark, Birgitta Henriques, M. Kalin, Åke Örtqvist, et al.. (2001). Dynamics of Penicillin‐Susceptible Clones in Invasive Pneumococcal Disease. The Journal of Infectious Diseases. 184(7). 861–869. 81 indexed citations
15.
Åkerlund, Thomas, et al.. (1999). On the Origin of Branches in Escherichia coli. Journal of Bacteriology. 181(21). 6607–6614. 20 indexed citations
16.
Burman, Lars, et al.. (1999). Suppression of toxin production in Clostridium difficile VPI 10463 by amino acids. Microbiology. 145(7). 1683–1693. 113 indexed citations
17.
Bernander, Rolf, Thomas Åkerlund, & Karl Nordström. (1995). Inhibition and restart of initiation of chromosome replication: effects on exponentially growing Escherichia coli cells. Journal of Bacteriology. 177(7). 1670–1682. 24 indexed citations
18.
Åkerlund, Thomas, Karl Nordström, & Rolf Bernander. (1995). Analysis of cell size and DNA content in exponentially growing and stationary-phase batch cultures of Escherichia coli. Journal of Bacteriology. 177(23). 6791–6797. 231 indexed citations
19.
Åkerlund, Thomas, Kurt Nordström, & Rolf Bernander. (1993). Branched Escherichia coli cells. Molecular Microbiology. 10(4). 849–858. 28 indexed citations
20.
Åkerlund, Thomas, et al.. (1992). Cell division in Escherichia coli minB mutants. Molecular Microbiology. 6(15). 2073–2083. 63 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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