Ulrika Hansson

817 total citations
16 papers, 607 citations indexed

About

Ulrika Hansson is a scholar working on Pathology and Forensic Medicine, Oncology and Radiation. According to data from OpenAlex, Ulrika Hansson has authored 16 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 6 papers in Oncology and 4 papers in Radiation. Recurrent topics in Ulrika Hansson's work include Lymphoma Diagnosis and Treatment (7 papers), Advanced Radiotherapy Techniques (4 papers) and Viral-associated cancers and disorders (4 papers). Ulrika Hansson is often cited by papers focused on Lymphoma Diagnosis and Treatment (7 papers), Advanced Radiotherapy Techniques (4 papers) and Viral-associated cancers and disorders (4 papers). Ulrika Hansson collaborates with scholars based in Sweden, Germany and Netherlands. Ulrika Hansson's co-authors include Per‐Ola Andersson, Sverker Hasselblom, Herman Nilsson‐Ehle, Kjell Arne Johansson, Börje Ridell, Margrét Sigurðardóttir, Anders Bergström, Ulf‐G. Gerdtham, Jacques Bernier and Karl‐Göran Prütz and has published in prestigious journals such as The American Journal of Surgical Pathology, British Journal of Haematology and American Journal of Transplantation.

In The Last Decade

Ulrika Hansson

16 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrika Hansson Sweden 15 283 167 124 111 96 16 607
Henry Januszewicz Australia 15 356 1.3× 191 1.1× 108 0.9× 115 1.0× 128 1.3× 23 644
Prashant Jani Canada 12 209 0.7× 147 0.9× 35 0.3× 31 0.3× 38 0.4× 23 498
Ni‐Chun Tsai United States 16 321 1.1× 382 2.3× 130 1.0× 89 0.8× 36 0.4× 48 712
Georg Pall Austria 17 93 0.3× 362 2.2× 166 1.3× 161 1.5× 39 0.4× 49 811
Gustavo dos Santos Fernandes Brazil 15 60 0.2× 180 1.1× 115 0.9× 152 1.4× 50 0.5× 54 627
H.D. Kogelnik Austria 16 119 0.4× 155 0.9× 18 0.1× 62 0.6× 200 2.1× 31 789
Shunrong Li China 17 291 1.0× 296 1.8× 28 0.2× 98 0.9× 57 0.6× 44 819
N. Einhorn Sweden 15 110 0.4× 199 1.2× 81 0.7× 111 1.0× 114 1.2× 35 967
J. D. Davies United Kingdom 10 116 0.4× 381 2.3× 16 0.1× 97 0.9× 63 0.7× 22 869

Countries citing papers authored by Ulrika Hansson

Since Specialization
Citations

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

Fields of papers citing papers by Ulrika Hansson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrika Hansson

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

All Works

16 of 16 papers shown
1.
Jarl, Johan, et al.. (2017). Do kidney transplantations save money? A study using a before–after design and multiple register-based data from Sweden. Clinical Kidney Journal. 11(2). 283–288. 42 indexed citations
2.
Felldin, Marie, Jana Ekberg, Ulrika Hansson, et al.. (2016). Donor Monoclonal Gammopathy May Cause Lymphoproliferative Disorders in Solid Organ Transplant Recipients. American Journal of Transplantation. 16(9). 2676–2683. 3 indexed citations
3.
Rüetschi, Ulla, Sverker Hasselblom, Herman Nilsson‐Ehle, et al.. (2015). SILAC-Based Quantitative Proteomic Analysis of Diffuse Large B-Cell Lymphoma Patients. PubMed. 2015. 1–12. 15 indexed citations
4.
Oschlies, Ilske, Jasmin Lisfeld, Laurence Lamant, et al.. (2012). ALK-positive anaplastic large cell lymphoma limited to the skin: clinical, histopathological and molecular analysis of 6 pediatric cases. A report from the ALCL99 study. Haematologica. 98(1). 50–56. 80 indexed citations
5.
Oschlies, Ilske, Birgit Burkhardt, Catherine Chassagne‐Clément, et al.. (2011). Diagnosis and Immunophenotype of 188 Pediatric Lymphoblastic Lymphomas Treated Within a Randomized Prospective Trial. The American Journal of Surgical Pathology. 35(6). 836–844. 31 indexed citations
6.
Hasselblom, Sverker, Monica Sender, Catharina Lewerin, et al.. (2011). Improved outcome for very elderly patients with diff use large B-cell lymphoma in the immunochemotherapy era. Leukemia & lymphoma. 53(3). 394–399. 20 indexed citations
7.
Hasselblom, Sverker, et al.. (2010). High immunohistochemical expression of p‐AKT predicts inferior survival in patients with diffuse large B‐cell lymphoma treated with immunochemotherapy. British Journal of Haematology. 149(4). 560–568. 64 indexed citations
8.
Hasselblom, Sverker, Ulrika Hansson, Margrét Sigurðardóttir, et al.. (2008). Expression of CD68+ tumor‐associated macrophages in patients with diffuse large B‐cell lymphoma and its relation to prognosis. Pathology International. 58(8). 529–532. 63 indexed citations
9.
Hasselblom, Sverker, Börje Ridell, Margrét Sigurðardóttir, et al.. (2008). Low rather than high Ki-67 protein expression is an adverse prognostic factor in diffuse large B-cell lymphoma. Leukemia & lymphoma. 49(8). 1501–1509. 36 indexed citations
10.
Hasselblom, Sverker, et al.. (2007). The number of tumour‐infiltrating TIA‐1+ cytotoxic T cells but not FOXP3+ regulatory T cells predicts outcome in diffuse large B‐cell lymphoma. British Journal of Haematology. 137(4). 364–373. 58 indexed citations
11.
Clemedson, Cecilia, Jørgen Clausen, Anna Forsby, et al.. (2002). Development of an In Vitro Test Battery for the Estimation of Acute Human Systemic Toxicity: An Outline of the EDIT Project. Alternatives to Laboratory Animals. 30(3). 313–321. 14 indexed citations
12.
Marx, Uwe, M. J. Embleton, Franz Gruber, et al.. (1997). Monoclonal Antibody Production. Alternatives to Laboratory Animals. 25(2). 121–135. 68 indexed citations
13.
Dam, J. Van, et al.. (1993). EORTC radiotherapy group quality assurance: mechanical checks and beam alignments of megavoltage equipment. Radiotherapy and Oncology. 29(2). 91–96. 18 indexed citations
14.
Hansson, Ulrika, Kjell Arne Johansson, Jean-Claude Horiot, & Jacques Bernier. (1993). Mailed TL dosimetry programme for machine output check and clinical application in the EORTC radiotherapy group. Radiotherapy and Oncology. 29(2). 85–90. 33 indexed citations
15.
Hansson, Ulrika & Kjell Arne Johansson. (1991). Quality audit of radiotherapy with EORTC mailed in water TL-dosimetry. Radiotherapy and Oncology. 20(3). 191–196. 29 indexed citations
16.
Hamers, Han, et al.. (1991). Entrance and exit TL-dosimetry in the conservative treatment of breast cancer: a pilot study for the EORTC-radiotherapy cooperative group. Radiotherapy and Oncology. 22(4). 280–284. 33 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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