T. Wahlberg

477 total citations
19 papers, 372 citations indexed

About

T. Wahlberg is a scholar working on Epidemiology, Hematology and Hepatology. According to data from OpenAlex, T. Wahlberg has authored 19 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in Hematology and 5 papers in Hepatology. Recurrent topics in T. Wahlberg's work include Hepatitis B Virus Studies (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Hepatitis C virus research (5 papers). T. Wahlberg is often cited by papers focused on Hepatitis B Virus Studies (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Hepatitis C virus research (5 papers). T. Wahlberg collaborates with scholars based in Sweden, Finland and Austria. T. Wahlberg's co-authors include Margareta Blombäck, Rune Andersson, Gunnar Jacobsson, Magnus Lindh, Rune Wejstål, Birgitta Arnholm, Johan Westin, Gunnar Norkrans, Martin Lagging and Staffan Nilsson and has published in prestigious journals such as Journal of Clinical Microbiology, Thrombosis and Haemostasis and Thrombosis Research.

In The Last Decade

T. Wahlberg

18 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Wahlberg Sweden 12 163 106 103 84 34 19 372
Angela Haßler Germany 8 225 1.4× 112 1.1× 33 0.3× 103 1.2× 22 0.6× 9 377
Isabelle Mendel France 10 175 1.1× 138 1.3× 54 0.5× 90 1.1× 16 0.5× 13 408
Pannee Sirivatanapa Thailand 10 123 0.8× 33 0.3× 91 0.9× 112 1.3× 59 1.7× 20 394
Roberto Stellini Italy 11 310 1.9× 154 1.5× 23 0.2× 138 1.6× 58 1.7× 28 504
Jochewed Werch United States 12 433 2.7× 333 3.1× 172 1.7× 70 0.8× 18 0.5× 18 716
First Mr United States 12 182 1.1× 36 0.3× 39 0.4× 68 0.8× 57 1.7× 46 569
Daniel Portela United States 10 416 2.6× 32 0.3× 29 0.3× 196 2.3× 34 1.0× 13 577
Roberta Rampazzo Italy 7 200 1.2× 20 0.2× 41 0.4× 43 0.5× 30 0.9× 9 449
A M Tegzess Netherlands 13 509 3.1× 22 0.2× 54 0.5× 74 0.9× 15 0.4× 20 686
Enrico Ragone Italy 8 369 2.3× 258 2.4× 55 0.5× 83 1.0× 46 1.4× 14 459

Countries citing papers authored by T. Wahlberg

Since Specialization
Citations

This map shows the geographic impact of T. Wahlberg'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 T. Wahlberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Wahlberg more than expected).

Fields of papers citing papers by T. Wahlberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Wahlberg

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

All Works

19 of 19 papers shown
1.
Sundell, Nicklas, Leif Dotevall, Maria Andersson, et al.. (2019). Measles outbreak in Gothenburg urban area, Sweden, 2017 to 2018: low viral load in breakthrough infections. Eurosurveillance. 24(17). 39 indexed citations
2.
Wahlberg, T., et al.. (2013). Kepler -- Raising Browser Security Awareness. 435–440. 3 indexed citations
3.
Lindh, Magnus, Birgitta Arnholm, Per Björkman, et al.. (2012). Dynamic tailoring of treatment durations improves efficiency of hepatitis C treatment with pegylated interferon and ribavirin. Journal of Viral Hepatitis. 20(4). e82–9. 1 indexed citations
4.
Arnholm, Birgitta, Martin Lagging, Staffan Nilsson, et al.. (2011). Core mutations, IL28B polymorphisms and response to peginterferon/ribavirin treatment in Swedish patients with hepatitis C virus genotype 1 infection. BMC Infectious Diseases. 11(1). 124–124. 38 indexed citations
5.
Lindh, Magnus, Martin Lagging, Birgitta Arnholm, et al.. (2011). IL28B polymorphisms determine early viral kinetics and treatment outcome in patients receiving peginterferon/ribavirin for chronic hepatitis C genotype 1. Journal of Viral Hepatitis. 18(7). e325–31. 43 indexed citations
6.
Lindh, Magnus, Birgitta Arnholm, Martti Färkkilâ, et al.. (2010). Hepatitis C treatment response kinetics and impact of baseline predictors. Journal of Viral Hepatitis. 18(6). 400–407. 11 indexed citations
7.
Wahlberg, T.. (2009). Undersökning av strikta och iterativa metoder för omvandling från kartesiska till geodetiska koordinater. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
8.
Lindh, Magnus, Birgitta Arnholm, Kristoffer Hellstrand, et al.. (2007). Response Prediction and Treatment Tailoring for Chronic Hepatitis C Virus Genotype 1 Infection. Journal of Clinical Microbiology. 45(8). 2439–2445. 15 indexed citations
9.
Jacobsson, Gunnar, et al.. (2006). The epidemiology of and risk factors for invasive Staphylococcus aureus infections in western Sweden. Scandinavian Journal of Infectious Diseases. 39(1). 6–13. 90 indexed citations
10.
Wahlberg, T., et al.. (2002). [Hepatitis B--sexually transmitted disease among young people. Outbreak in Skaraborg could have resulted in an epidemic].. PubMed. 99(26-27). 2945–7. 1 indexed citations
11.
12.
Wahlberg, T., et al.. (1993). [Medical students about current undergraduate medical education: no stimulation of critical thinking].. PubMed. 90(42). 3667–9. 1 indexed citations
13.
Wahlberg, T., Margareta Blombäck, & David Mag­nusson. (1984). Influence of Sex, Blood Group, Secretor Character, Smoking Habits, Acetylsalicylic Acid, Oral Contraceptives, Fasting and General Health State on Blood Coagulation Variables in Randomly Selected Young Adults. Pathophysiology of Haemostasis and Thrombosis. 14(4). 312–319. 14 indexed citations
14.
Wahlberg, T., Margareta Blombäck, & Zaverio M. Ruggeri. (1983). Differences Between Heterozygous Dominant and Recessive von Willebrand’s Disease Type I Expressed by Bleeding Symptoms and Combinations of Factor VIII Variables. Thrombosis and Haemostasis. 50(4). 864–868. 11 indexed citations
15.
Wahlberg, T., Margareta Blombäck, & Ulf Brodin. (1982). Carriers and noncarriers of haemophilia A: I. Multivariate analysis of pedigree data, screening blood coagulation tests and factor VIII variables. Thrombosis Research. 25(5). 401–414. 16 indexed citations
16.
17.
Wahlberg, T. & Margareta Blombäck. (1981). Improved detection of haemophilia A carriers by factor VIII related antigen (radioimmunoassay) and bleeding symptoms. Thrombosis Research. 21(4-5). 339–346. 5 indexed citations
18.
Wahlberg, T., Geoffrey F. Savidge, Margareta Blombäck, & Barbro Wiechel. (1980). Influence of Age, Sex and Blood Groups on 15 Blood Coagulation Laboratory Variables in a Reference Material Composed of 80 Blood Donors. Vox Sanguinis. 39(6). 301–308. 32 indexed citations
19.
Wahlberg, T., et al.. (1980). Blood Coagulation Studies in 45 Patients with Ischemic Cerebrovascular Disease and 44 Patients with Venous Thromboembolic Disease. Acta Medica Scandinavica. 207(1-6). 385–390. 34 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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