Martin Sundqvist

1.9k total citations
55 papers, 1.2k citations indexed

About

Martin Sundqvist is a scholar working on Epidemiology, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, Martin Sundqvist has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 21 papers in Infectious Diseases and 16 papers in Molecular Medicine. Recurrent topics in Martin Sundqvist's work include Antibiotic Resistance in Bacteria (16 papers), Bacterial Identification and Susceptibility Testing (12 papers) and Streptococcal Infections and Treatments (10 papers). Martin Sundqvist is often cited by papers focused on Antibiotic Resistance in Bacteria (16 papers), Bacterial Identification and Susceptibility Testing (12 papers) and Streptococcal Infections and Treatments (10 papers). Martin Sundqvist collaborates with scholars based in Sweden, Denmark and Norway. Martin Sundqvist's co-authors include Gunnar Kahlmeter, Brigitte Lamy, Evgeny A. Idelevich, Dan I. Andersson, Paula Mölling, Alma Brolund, Malin Grape, Katarina Hedin, Arnfinn Sundsfjord and S. Bengtsson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Martin Sundqvist

52 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Sundqvist Sweden 18 468 377 263 251 197 55 1.2k
Iciar Rodríguez-Avial Spain 23 580 1.2× 469 1.2× 285 1.1× 435 1.7× 89 0.5× 66 1.4k
Sidorenko Sv Russia 21 461 1.0× 602 1.6× 216 0.8× 350 1.4× 373 1.9× 146 1.5k
Srujana Mohanty India 19 418 0.9× 284 0.8× 167 0.6× 351 1.4× 113 0.6× 81 1.1k
Belén Aracil Spain 23 843 1.8× 491 1.3× 177 0.7× 181 0.7× 249 1.3× 54 1.3k
Sara Droz Switzerland 24 396 0.8× 472 1.3× 193 0.7× 455 1.8× 117 0.6× 53 1.5k
Michael Kresken Germany 21 669 1.4× 474 1.3× 310 1.2× 448 1.8× 91 0.5× 73 1.4k
Esther Culebras Spain 24 663 1.4× 493 1.3× 344 1.3× 491 2.0× 82 0.4× 90 1.7k
Flávia Rossi Brazil 16 506 1.1× 272 0.7× 196 0.7× 259 1.0× 61 0.3× 45 1.1k
Teresa Fasciana Italy 22 526 1.1× 482 1.3× 161 0.6× 525 2.1× 116 0.6× 81 1.6k
María‐Isabel Morosini Spain 26 946 2.0× 446 1.2× 229 0.9× 259 1.0× 138 0.7× 55 1.6k

Countries citing papers authored by Martin Sundqvist

Since Specialization
Citations

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

Fields of papers citing papers by Martin Sundqvist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Sundqvist

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Sundqvist. A scholar is included among the top collaborators of Martin Sundqvist 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 Martin Sundqvist. Martin Sundqvist 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.
Björnberg, Alf, Bhanu Sinha, Natacha Couto, et al.. (2025). Critical Steps in Shotgun Metagenomics‐Based Diagnosis of Bloodstream Infections Using Nanopore Sequencing. Apmis. 133(1). e13511–e13511. 2 indexed citations
3.
Couto, Natacha, Alexander Herbig, Johannes Krause, et al.. (2025). Performance of shotgun metagenomics on whole blood from patients with suspected bloodstream infection: Challenges remain. Journal of Microbiological Methods. 237. 107231–107231.
4.
Sundqvist, Martin, et al.. (2022). Evaluation of within-host evolution of methicillin-resistant Staphylococcus aureus (MRSA) by comparing cgMLST and SNP analysis approaches. Scientific Reports. 12(1). 10541–10541. 20 indexed citations
5.
Haglund, Sofie, et al.. (2021). CXCL13 in laboratory diagnosis of Lyme neuroborreliosis—the performance of the recomBead and ReaScan CXCL13 assays in human cerebrospinal fluid samples. European Journal of Clinical Microbiology & Infectious Diseases. 41(1). 175–179. 8 indexed citations
6.
Sundqvist, Martin, et al.. (2021). Presence of microorganisms in children with pharyngotonsillitis and healthy controls: a prospective study in primary healthcare. Infection. 49(4). 715–724. 7 indexed citations
7.
8.
Andersson, Martin, et al.. (2021). Seasonal variations in use and outcome of rapid antigen detection tests and cultures in pharyngotonsillitis: a register study in primary care. BMC Infectious Diseases. 21(1). 1104–1104. 3 indexed citations
9.
Rööst, Mattias, et al.. (2021). The aetiology of pharyngotonsillitis in primary health care: a prospective observational study. BMC Infectious Diseases. 21(1). 971–971. 8 indexed citations
10.
Tevell, Staffan, Åsa Nilsdotter‐Augustinsson, Thor Bech Johannesen, et al.. (2021). Methicillin-Resistant Staphylococcus epidermidis Lineages in the Nasal and Skin Microbiota of Patients Planned for Arthroplasty Surgery. Microorganisms. 9(2). 265–265. 7 indexed citations
11.
12.
Hedberg, Sara Thulin, et al.. (2019). Evaluation of the FilmArray™ Meningitis/Encephalitis panel with focus on bacteria and Cryptococcus spp. Journal of Microbiological Methods. 157. 113–116. 10 indexed citations
13.
Sundqvist, Martin, et al.. (2018). A 2-year follow-up study of patients with pharyngotonsillitis. BMC Infectious Diseases. 18(1). 3–3. 6 indexed citations
14.
Sundqvist, Martin, et al.. (2015). Amdinocillin (Mecillinam) Resistance Mutations in Clinical Isolates and Laboratory-Selected Mutants of Escherichia coli. Antimicrobial Agents and Chemotherapy. 59(3). 1718–1727. 80 indexed citations
15.
16.
Johansson, Åsa, et al.. (2014). The detection and verification of carbapenemases using ertapenem and Matrix Assisted Laser Desorption Ionization-Time of Flight. BMC Microbiology. 14(1). 89–89. 22 indexed citations
17.
Johansson, Anders, et al.. (2013). High genetic diversity of nitrofurantoin- or mecillinam-resistant Escherichia coli indicates low propensity for clonal spread. Journal of Antimicrobial Chemotherapy. 68(9). 1974–1977. 24 indexed citations
18.
Bengtsson, S., Umaer Naseer, Arnfinn Sundsfjord, Gunnar Kahlmeter, & Martin Sundqvist. (2011). Sequence types and plasmid carriage of uropathogenic Escherichia coli devoid of phenotypically detectable resistance. Journal of Antimicrobial Chemotherapy. 67(1). 69–73. 42 indexed citations
19.
Karah, Nabil, Laurent Poirel, S. Bengtsson, et al.. (2010). Plasmid-mediated quinolone resistance determinants qnr and aac(6′)-Ib-cr in Escherichia coli and Klebsiella spp. from Norway and Sweden. Diagnostic Microbiology and Infectious Disease. 66(4). 425–431. 62 indexed citations
20.
Brolund, Alma, Martin Sundqvist, Gunnar Kahlmeter, & Malin Grape. (2010). Molecular Characterisation of Trimethoprim Resistance in Escherichia coli and Klebsiella pneumoniae during a Two Year Intervention on Trimethoprim Use. PLoS ONE. 5(2). e9233–e9233. 78 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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