Eeva Broberg

3.5k total citations
61 papers, 1.5k citations indexed

About

Eeva Broberg is a scholar working on Epidemiology, Infectious Diseases and Genetics. According to data from OpenAlex, Eeva Broberg has authored 61 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Epidemiology, 24 papers in Infectious Diseases and 10 papers in Genetics. Recurrent topics in Eeva Broberg's work include Respiratory viral infections research (29 papers), Influenza Virus Research Studies (25 papers) and Herpesvirus Infections and Treatments (14 papers). Eeva Broberg is often cited by papers focused on Respiratory viral infections research (29 papers), Influenza Virus Research Studies (25 papers) and Herpesvirus Infections and Treatments (14 papers). Eeva Broberg collaborates with scholars based in Sweden, Finland and Denmark. Eeva Broberg's co-authors include Veijo Hukkanen, Pasi Penttinen, A. Salmi, Matti Waris, Matias Röyttä, Andrew J. Amato‐Gauci, Angus Nicoll, Dmitriy Pereyaslov, Katrin Leitmeyer and René Snacken and has published in prestigious journals such as Annals of Neurology, Journal of Virology and Journal of Clinical Microbiology.

In The Last Decade

Eeva Broberg

60 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eeva Broberg Sweden 24 901 543 234 220 132 61 1.5k
Lidia B. Brydak Poland 22 1.3k 1.4× 486 0.9× 117 0.5× 447 2.0× 92 0.7× 157 1.8k
Mongkol Uiprasertkul Thailand 15 1.1k 1.2× 573 1.1× 219 0.9× 374 1.7× 103 0.8× 45 1.7k
Lonneke Leijten Netherlands 23 777 0.9× 1.0k 1.9× 182 0.8× 365 1.7× 51 0.4× 43 1.7k
Benjamin Lee United States 20 366 0.4× 453 0.8× 129 0.6× 299 1.4× 31 0.2× 44 1.0k
Ilhem Messaoudi United States 26 713 0.8× 1.1k 2.1× 428 1.8× 652 3.0× 128 1.0× 102 2.4k
Cristina Daleno Italy 24 764 0.8× 334 0.6× 139 0.6× 167 0.8× 37 0.3× 43 1.2k
Julie Carbonneau Canada 18 783 0.9× 453 0.8× 141 0.6× 108 0.5× 93 0.7× 57 1.1k
Brigitta M. Laksono Netherlands 12 410 0.5× 537 1.0× 126 0.5× 204 0.9× 47 0.4× 21 939
Thomas Vanwolleghem Belgium 23 1.9k 2.1× 407 0.7× 229 1.0× 392 1.8× 41 0.3× 84 2.5k
Lance Turtle United Kingdom 21 229 0.3× 1.1k 1.9× 269 1.1× 157 0.7× 48 0.4× 67 1.7k

Countries citing papers authored by Eeva Broberg

Since Specialization
Citations

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

Fields of papers citing papers by Eeva Broberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eeva Broberg

This figure shows the co-authorship network connecting the top 25 collaborators of Eeva Broberg. A scholar is included among the top collaborators of Eeva Broberg 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 Eeva Broberg. Eeva Broberg 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
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Walle, Ivo Van, et al.. (2021). Meta-analysis of the clinical performance of commercial SARS-CoV-2 nucleic acid and antibody tests up to 22 August 2020. Eurosurveillance. 26(45). 12 indexed citations
4.
Mook, Piers, T J Meerhoff, Sonja J. Olsen, et al.. (2020). Alternating patterns of seasonal influenza activity in the WHO European Region following the 2009 pandemic, 2010‐2018. Influenza and Other Respiratory Viruses. 14(2). 150–161. 12 indexed citations
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Beauté, Julien, P Zucs, Neli Korsun, et al.. (2015). Age-specific differences in influenza virus type and subtype distribution in the 2012/2013 season in 12 European countries. Epidemiology and Infection. 143(14). 2950–2958. 36 indexed citations
7.
Snacken, R, Eeva Broberg, Julien Beauté, et al.. (2014). Influenza season 2012–2013 in Europe: moderate intensity, mixed (sub)types. Epidemiology and Infection. 142(9). 1809–1812. 13 indexed citations
8.
Snacken, René, Chantal Quinten, Isabelle Devaux, et al.. (2012). Surveillance of hospitalised severe cases of influenza A(H1N1)pdm09 and related fatalities in nine EU countries in 2010–2011. Influenza and Other Respiratory Viruses. 6(6). e93–6. 13 indexed citations
9.
Kerkhove, Maria D. Van, Eeva Broberg, Othmar G. Engelhardt, John Wood, & Angus Nicoll. (2012). The consortium for the standardization of influenza seroepidemiology (CONSISE): a global partnership to standardize influenza seroepidemiology and develop influenza investigation protocols to inform public health policy. Influenza and Other Respiratory Viruses. 7(3). 231–234. 31 indexed citations
10.
Thompson, Catherine, Angie Lackenby, R. S. Daniels, et al.. (2012). Evaluation of influenza virus antiviral susceptibility testing in Europe: Results from the first external quality assessment exercise. Journal of Clinical Virology. 56(3). 296–302. 6 indexed citations
11.
Laurie, Karen, Patricia Huston, Steven Riley, et al.. (2012). Influenza serological studies to inform public health action: best practices to optimise timing, quality and reporting. Influenza and Other Respiratory Viruses. 7(2). 211–224. 38 indexed citations
12.
Amato‐Gauci, Andrew J., P Zucs, R Snacken, et al.. (2011). Surveillance trends of the 2009 influenza A(H1N1) pandemic in Europe. Eurosurveillance. 16(26). 44 indexed citations
13.
Soilu‐Hänninen, Merja, et al.. (2009). Expression of LIF and LIF receptor beta in Alzheimerâs and Parkinsonâs diseases. Acta Neurologica Scandinavica. 121(1). 44–50. 27 indexed citations
14.
Broberg, Eeva, et al.. (2006). Enhancement of Th2 responses to replicative herpes simplex virus type 1 vectors by immunomodulative chemotherapy. International Immunopharmacology. 6(5). 817–829. 4 indexed citations
15.
Broberg, Eeva & Veijo Hukkanen. (2005). Immune Response to Herpes Simplex Virus and γ134.5 Deleted HSV Vectors. Current Gene Therapy. 5(5). 523–530. 20 indexed citations
16.
Broberg, Eeva, A. Salmi, & Veijo Hukkanen. (2004). IL-4 is the key regulator in herpes simplex virus-based gene therapy of BALB/c experimental autoimmune encephalomyelitis. Neuroscience Letters. 364(3). 173–178. 26 indexed citations
17.
Broberg, Eeva, et al.. (2002). Herpes Simplex Virus Type 1 Infection Induces Upregulation of Interleukin-23 (p19) mRNA Expression in Trigeminal Ganglia of BALB/c Mice. Journal of Interferon & Cytokine Research. 22(6). 641–651. 24 indexed citations
18.
Broberg, Eeva, et al.. (2002). Semliki Forest virus infection is enhanced in Th1-prone SJL mice but not in Th2-prone BALB/c mice during Linomide-induced immunomodulation. Journal of Neuroimmunology. 132(1-2). 83–92. 10 indexed citations
19.
Hukkanen, Veijo, Eeva Broberg, A. Salmi, & Juha-Pekka Erälinna. (2002). CYTOKINES IN EXPERIMENTAL HERPES SIMPLEX VIRUS INFECTION. International Reviews of Immunology. 21(4-5). 355–371. 21 indexed citations
20.
Broberg, Eeva, Matias Röyttä, A. Salmi, et al.. (2001). Expression of interleukin-4 but not of interleukin-10 from a replicative herpes simplex virus type 1 viral vector precludes experimental allergic encephalomyelitis. Gene Therapy. 8(10). 769–777. 30 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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