Tomas Edgren

631 total citations
18 papers, 445 citations indexed

About

Tomas Edgren is a scholar working on Genetics, Molecular Biology and Endocrinology. According to data from OpenAlex, Tomas Edgren has authored 18 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 11 papers in Molecular Biology and 9 papers in Endocrinology. Recurrent topics in Tomas Edgren's work include Yersinia bacterium, plague, ectoparasites research (12 papers), Vibrio bacteria research studies (9 papers) and Bacillus and Francisella bacterial research (7 papers). Tomas Edgren is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (12 papers), Vibrio bacteria research studies (9 papers) and Bacillus and Francisella bacterial research (7 papers). Tomas Edgren collaborates with scholars based in Sweden, Germany and Iran. Tomas Edgren's co-authors include Stefan Nordlund, Hans Wolf‐Watz, Maria Fällman, Anna Fahlgren, Roland Rosqvist, Karen Akopyan, Saskia F. Erttmann, Åke Försberg, Matthew S. Francis and Petra Dersch and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Tomas Edgren

17 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomas Edgren Sweden 11 212 171 160 55 54 18 445
Timothy Tapscott United States 9 120 0.6× 220 1.3× 120 0.8× 29 0.5× 40 0.7× 9 459
Eric L. Bruger United States 13 94 0.4× 261 1.5× 84 0.5× 68 1.2× 59 1.1× 22 439
Nicolas Wenner United Kingdom 13 155 0.7× 269 1.6× 125 0.8× 53 1.0× 18 0.3× 23 543
Larry L. Daniels Jamaica 8 226 1.1× 338 2.0× 194 1.2× 101 1.8× 71 1.3× 9 658
Jonathan W. Willett United States 16 237 1.1× 423 2.5× 89 0.6× 52 0.9× 60 1.1× 21 602
Helen J. Wing United States 16 365 1.7× 283 1.7× 229 1.4× 16 0.3× 11 0.2× 27 523
Monica A. Ogierman Australia 10 203 1.0× 219 1.3× 238 1.5× 57 1.0× 105 1.9× 10 483
Yun-Jeong Heo South Korea 10 101 0.5× 287 1.7× 71 0.4× 44 0.8× 69 1.3× 11 453
Van Son Nguyen France 10 195 0.9× 185 1.1× 410 2.6× 40 0.7× 40 0.7× 13 592
Chad W. Stratilo Canada 8 147 0.7× 252 1.5× 133 0.8× 41 0.7× 27 0.5× 10 437

Countries citing papers authored by Tomas Edgren

Since Specialization
Citations

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

Fields of papers citing papers by Tomas Edgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomas Edgren

This figure shows the co-authorship network connecting the top 25 collaborators of Tomas Edgren. A scholar is included among the top collaborators of Tomas Edgren 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 Tomas Edgren. Tomas Edgren 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.
Lu, Lu, et al.. (2025). YmoA functions as a molecular stress sensor in Yersinia. Communications Biology. 8(1). 225–225. 1 indexed citations
2.
Sandberg, E., Luís Nunes, Per‐Henrik Edqvist, et al.. (2024). Sensitive and Specific Analyses of Colorectal Cancer Recurrence through Multiplex superRCA Mutation Detection in Blood Plasma. Cancers. 16(3). 549–549.
3.
Edgren, Tomas, et al.. (2023). Calcium-responsive plasmid copy number regulation is dependent on discrete YopD domains in Yersinia pseudotuberculosis. Plasmid. 126. 102683–102683. 1 indexed citations
4.
Edgren, Tomas, et al.. (2021). Spatiotemporal Variations in Growth Rate and Virulence Plasmid Copy Number during Yersinia pseudotuberculosis Infection. Infection and Immunity. 89(4). 14 indexed citations
5.
Costa, Tiago R. D., et al.. (2019). Measurement of Yersinia Translocon Pore Formation in Erythrocytes. Methods in molecular biology. 211–229. 1 indexed citations
6.
Nordfelth, Roland, et al.. (2018). YopN Is Required for Efficient Effector Translocation and Virulence in Yersinia pseudotuberculosis. Infection and Immunity. 86(8). 6 indexed citations
7.
Wang, He, Anna Fahlgren, Saskia F. Erttmann, et al.. (2016). Increased plasmid copy number is essential for Yersinia T3SS function and virulence. Science. 353(6298). 492–495. 62 indexed citations
8.
Bröms, Jeanette E., et al.. (2016). The Amino-Terminal Part of the Needle-Tip Translocator LcrV of Yersinia pseudotuberculosis Is Required for Early Targeting of YopH and In vivo Virulence. Frontiers in Cellular and Infection Microbiology. 6. 175–175. 6 indexed citations
9.
Erttmann, Saskia F., Anetta Härtlová, Marta Słoniecka, et al.. (2016). Loss of the DNA Damage Repair Kinase ATM Impairs Inflammasome-Dependent Anti-Bacterial Innate Immunity. Immunity. 45(1). 106–118. 37 indexed citations
10.
Rogne, Per, et al.. (2016). Characterization of the Ruler Protein Interaction Interface on the Substrate Specificity Switch Protein in the Yersinia Type III Secretion System. Journal of Biological Chemistry. 292(8). 3299–3311. 19 indexed citations
11.
Edgren, Tomas, Åke Försberg, Roland Rosqvist, & Hans Wolf‐Watz. (2012). Type III Secretion in Yersinia: Injectisome or Not?. PLoS Pathogens. 8(5). e1002669–e1002669. 31 indexed citations
12.
Costa, Tiago R. D., Hans Wolf‐Watz, Maria Fällman, et al.. (2012). Type III secretion translocon assemblies that attenuateYersiniavirulence. Cellular Microbiology. 15(7). 1088–1110. 17 indexed citations
13.
Akopyan, Karen, Tomas Edgren, Roland Rosqvist, et al.. (2011). Translocation of surface-localized effectors in type III secretion. Proceedings of the National Academy of Sciences. 108(4). 1639–1644. 85 indexed citations
14.
Edgren, Tomas, Jonas Pettersson, Roland Nordfelth, et al.. (2011). The RACK1 Signaling Scaffold Protein Selectively Interacts with Yersinia pseudotuberculosis Virulence Function. PLoS ONE. 6(2). e16784–e16784. 41 indexed citations
15.
Selão, Tiago Toscano, et al.. (2011). Effect of pyruvate on the metabolic regulation of nitrogenase activity in Rhodospirillum rubrum in darkness. Microbiology. 157(6). 1834–1840. 3 indexed citations
16.
Edgren, Tomas & Stefan Nordlund. (2006). Two pathways of electron transport to nitrogenase inRhodospirillum rubrum: the major pathway is dependent on thefixgene products. FEMS Microbiology Letters. 260(1). 30–35. 19 indexed citations
17.
Edgren, Tomas & Stefan Nordlund. (2005). Electron transport to nitrogenase in Rhodospirillum rubrum: Identification of a new fdxN gene encoding the primary electron donor to nitrogenase. FEMS Microbiology Letters. 245(2). 345–351. 15 indexed citations
18.
Edgren, Tomas & Stefan Nordlund. (2004). The fixABCX Genes in Rhodospirillum rubrum Encode a Putative Membrane Complex Participating in Electron Transfer to Nitrogenase. Journal of Bacteriology. 186(7). 2052–2060. 87 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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