Lars-Gunnar Arnesson

885 total citations
8 papers, 587 citations indexed

About

Lars-Gunnar Arnesson is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Lars-Gunnar Arnesson has authored 8 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Cancer Research and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Lars-Gunnar Arnesson's work include Breast Cancer Treatment Studies (5 papers), Cancer Cells and Metastasis (3 papers) and Breast Lesions and Carcinomas (3 papers). Lars-Gunnar Arnesson is often cited by papers focused on Breast Cancer Treatment Studies (5 papers), Cancer Cells and Metastasis (3 papers) and Breast Lesions and Carcinomas (3 papers). Lars-Gunnar Arnesson collaborates with scholars based in Sweden, France and United Kingdom. Lars-Gunnar Arnesson's co-authors include Kerstin Sandelin, Anita Ringberg, Harald Anderson, Lars Holmberg, Stefan O. Emdin, Hans Garmo, Bengt Granstrand, Per Karlsson, Annelie Lindström and Ivan Shabo and has published in prestigious journals such as Journal of Clinical Oncology, Oncotarget and Acta Oncologica.

In The Last Decade

Lars-Gunnar Arnesson

8 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars-Gunnar Arnesson Sweden 7 470 311 287 131 57 8 587
Marianne Kyndi Denmark 11 626 1.3× 312 1.0× 458 1.6× 175 1.3× 89 1.6× 19 863
Leela Elavathil Canada 14 435 0.9× 252 0.8× 351 1.2× 119 0.9× 76 1.3× 25 672
J. A. Andersen Denmark 5 472 1.0× 285 0.9× 300 1.0× 150 1.1× 47 0.8× 9 651
J.L. Achard France 12 398 0.8× 206 0.7× 304 1.1× 106 0.8× 72 1.3× 31 630
Zoltán Mátrai Hungary 13 547 1.2× 391 1.3× 226 0.8× 392 3.0× 85 1.5× 75 756
Caroline A. Drukker Netherlands 12 685 1.5× 324 1.0× 333 1.2× 206 1.6× 109 1.9× 36 817
A.H.S. Lee United Kingdom 7 292 0.6× 278 0.9× 196 0.7× 71 0.5× 50 0.9× 9 468
Rosemary Giuliano United States 12 360 0.8× 305 1.0× 233 0.8× 189 1.4× 55 1.0× 22 551
A.H. Tulusan Germany 9 452 1.0× 210 0.7× 387 1.3× 96 0.7× 69 1.2× 22 637
Maik Hauschild Germany 11 415 0.9× 161 0.5× 402 1.4× 66 0.5× 111 1.9× 24 593

Countries citing papers authored by Lars-Gunnar Arnesson

Since Specialization
Citations

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

Fields of papers citing papers by Lars-Gunnar Arnesson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars-Gunnar Arnesson. 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 Lars-Gunnar Arnesson. The network helps show where Lars-Gunnar Arnesson may publish in the future.

Co-authorship network of co-authors of Lars-Gunnar Arnesson

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

All Works

8 of 8 papers shown
1.
Höijer, Jonas, Linnea Widman, Johan Ahlgren, et al.. (2020). Long-Term Prognostication for 20 114 Women With Small and Node-Negative Breast Cancer(T1abN0). JNCI Cancer Spectrum. 5(1). 3 indexed citations
2.
Garvin, Stina, et al.. (2019). Differences in intra-tumoral macrophage infiltration and radiotherapy response among intrinsic subtypes in pT1-T2 breast cancers treated with breast-conserving surgery. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 475(2). 151–162. 12 indexed citations
3.
Garvin, Stina, et al.. (2018). Tumor cell expression of CD163 is associated to postoperative radiotherapy and poor prognosis in patients with breast cancer treated with breast-conserving surgery. Journal of Cancer Research and Clinical Oncology. 144(7). 1253–1263. 39 indexed citations
4.
Lindström, Annelie, et al.. (2017). Fusion between M2-macrophages and cancer cells results in a subpopulation of radioresistant cells with enhanced DNA-repair capacity. Oncotarget. 8(31). 51370–51386. 39 indexed citations
5.
Wärnberg, Fredrik, Hans Garmo, Stefan O. Emdin, et al.. (2014). Effect of Radiotherapy After Breast-Conserving Surgery for Ductal Carcinoma in Situ: 20 Years Follow-Up in the Randomized SweDCIS Trial. Journal of Clinical Oncology. 32(32). 3613–3618. 152 indexed citations
7.
Holmberg, Lars, Hans Garmo, Bengt Granstrand, et al.. (2008). Absolute Risk Reductions for Local Recurrence After Postoperative Radiotherapy After Sector Resection for Ductal Carcinoma In Situ of the Breast. Journal of Clinical Oncology. 26(8). 1247–1252. 170 indexed citations
8.
Emdin, Stefan O., Bengt Granstrand, Anita Ringberg, et al.. (2006). SweDCIS: Radiotherapy after sector resection for ductal carcinoma in situ of the breast. Results of a randomised trial in a population offered mammography screening. Acta Oncologica. 45(5). 536–543. 164 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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