Mia Thorsélius

463 total citations
8 papers, 268 citations indexed

About

Mia Thorsélius is a scholar working on Genetics, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mia Thorsélius has authored 8 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Pathology and Forensic Medicine and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mia Thorsélius's work include Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (6 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Mia Thorsélius is often cited by papers focused on Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (6 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Mia Thorsélius collaborates with scholars based in Sweden, Australia and Italy. Mia Thorsélius's co-authors include Sarah H. Walsh, Richard Rosenquist, Christer Sundström, Ulf Thunberg, Gunilla Enblad, Göran Roos, Inger Eriksson, Anna Johnson, Carin Backlin and Hans Hagberg and has published in prestigious journals such as Blood, Modern Pathology and European Journal Of Haematology.

In The Last Decade

Mia Thorsélius

7 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mia Thorsélius Sweden	6	230	206	109	65	45	8	268
Sarah H. Walsh Sweden	8	211 0.9×	224 1.1×	59 0.5×	107 1.6×	48 1.1×	9	289
Fabrizio Luciano Italy	5	245 1.1×	190 0.9×	136 1.2×	26 0.4×	58 1.3×	11	290
Iryna Kryachok Ukraine	8	127 0.6×	123 0.6×	70 0.6×	64 1.0×	35 0.8×	23	197
Geisler Ch Denmark	5	357 1.6×	291 1.4×	186 1.7×	49 0.8×	52 1.2×	6	388
Anja Engelke Germany	9	242 1.1×	217 1.1×	106 1.0×	28 0.4×	23 0.5×	15	264
Andrea Schnaiter Germany	7	112 0.5×	79 0.4×	59 0.5×	42 0.6×	86 1.9×	18	183
Giorgia Chiodin United Kingdom	7	156 0.7×	81 0.4×	67 0.6×	36 0.6×	74 1.6×	14	203
Chiara Lobetti Bodoni Italy	6	105 0.5×	116 0.6×	47 0.4×	67 1.0×	31 0.7×	8	194
Juan Garcia‐Talavera Spain	6	178 0.8×	97 0.5×	91 0.8×	67 1.0×	75 1.7×	9	301
Maria Gounari Greece	7	233 1.0×	174 0.8×	150 1.4×	23 0.4×	51 1.1×	14	271

Countries citing papers authored by Mia Thorsélius

Since Specialization

Citations

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

Fields of papers citing papers by Mia Thorsélius

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mia Thorsélius

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

All Works

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8 of 8 papers shown

Boström, Hans, Karl‐Johan Leuchowius, Heléne Hallböök, et al.. (2008). U‐2973, a novel B‐cell line established from a patient with a mature B‐cell leukemia displaying concurrent t(14;18) and MYC translocation to a non‐IG gene partner. European Journal Of Haematology. 81(3). 218–225. 5 indexed citations

Walsh, Sarah H., Pawel Grabowski, Mattias Berglund, et al.. (2007). Telomere length and correlation with histopathogenesis in B‐cell leukemias/lymphomas. European Journal Of Haematology. 78(4). 283–289. 11 indexed citations

Thorsélius, Mia. (2005). Strikingly homologous immunoglobulin gene rearrangements and poor outcome in VH3-21-using chronic lymphocytic leukemia patients independent of geographic origin and mutational status. Blood. 107(7). 2889–2894. 129 indexed citations

Murray, Fiona, Mia Thorsélius, Alexander Kröber, et al.. (2005). Strikingly Homologous Immunoglobulin Gene Rearrangements and Poor Outcome in VH3-21-Utilizing Chronic Lymphocytic Leukemia Independent of Geographical Origin and Mutational Status.. Blood. 106(11). 175–175. 1 indexed citations

Thelander, Emma Flordal, Sarah H. Walsh, Mia Thorsélius, et al.. (2004). Mantle cell lymphomas with clonal immunoglobulin V3–21 gene rearrangements exhibit fewer genomic imbalances than mantle cell lymphomas utilizing other immunoglobulin V genes. Modern Pathology. 18(3). 331–339. 18 indexed citations

Thorsélius, Mia, Sarah H. Walsh, Ulf Thunberg, et al.. (2004). Heterogeneous somatic hypermutation status confounds the cell of origin in hairy cell leukemia. Leukemia Research. 29(2). 153–158. 32 indexed citations

Thorsélius, Mia, Alexander Kröber, Ulf Thunberg, et al.. (2004). Strikingly homologous VH3-21/Vλ2-14 gene rearrangements in chronic lymphocytic leukemia despite different geographical origin.

Thorsélius, Mia, Sarah H. Walsh, Inger Eriksson, et al.. (2002). Somatic hypermutation and V_H gene usage in mantle cell lymphoma. European Journal Of Haematology. 68(4). 217–224. 72 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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