Hans Brunnström

9.4k total citations
85 papers, 1.9k citations indexed

About

Hans Brunnström is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Hans Brunnström has authored 85 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Pulmonary and Respiratory Medicine, 42 papers in Oncology and 17 papers in Molecular Biology. Recurrent topics in Hans Brunnström's work include Lung Cancer Treatments and Mutations (34 papers), Cancer Immunotherapy and Biomarkers (16 papers) and Lung Cancer Research Studies (16 papers). Hans Brunnström is often cited by papers focused on Lung Cancer Treatments and Mutations (34 papers), Cancer Immunotherapy and Biomarkers (16 papers) and Lung Cancer Research Studies (16 papers). Hans Brunnström collaborates with scholars based in Sweden, United States and Germany. Hans Brunnström's co-authors include Elisabet Englund, Patrick Micke, Maria Planck, Johan Botling, Karin Jirström, Johanna Sofia Margareta Mattsson, Dijana Djureinovic, Ulla Passant, Mats Jönsson and Per Jönsson and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Hans Brunnström

81 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans Brunnström Sweden 25 787 679 528 341 245 85 1.9k
Gianluigi Lunardi Italy 25 801 1.0× 408 0.6× 317 0.6× 227 0.7× 210 0.9× 68 1.9k
Bhupendra Rawal United States 26 958 1.2× 705 1.0× 705 1.3× 246 0.7× 207 0.8× 76 2.9k
Summer S. Han United States 29 1.2k 1.5× 1.5k 2.2× 353 0.7× 233 0.7× 133 0.5× 125 3.3k
Luca Porcu Italy 22 520 0.7× 461 0.7× 448 0.8× 260 0.8× 104 0.4× 90 1.6k
Jennifer M. Johnson United States 25 847 1.1× 364 0.5× 612 1.2× 260 0.8× 84 0.3× 104 2.3k
Laila Dahmoush United States 21 961 1.2× 413 0.6× 643 1.2× 243 0.7× 186 0.8× 52 2.8k
Donald A. Barkauskas United States 27 1.2k 1.5× 972 1.4× 823 1.6× 494 1.4× 62 0.3× 79 3.1k
Alexander Scholz Germany 22 517 0.7× 353 0.5× 1.1k 2.1× 535 1.6× 89 0.4× 39 2.9k
Laila Poisson United States 32 401 0.5× 454 0.7× 1.3k 2.4× 881 2.6× 77 0.3× 108 3.6k
Helle Hjorth Johannesen Denmark 21 451 0.6× 235 0.3× 316 0.6× 148 0.4× 85 0.3× 78 2.0k

Countries citing papers authored by Hans Brunnström

Since Specialization
Citations

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

Fields of papers citing papers by Hans Brunnström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Brunnström

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Brunnström. A scholar is included among the top collaborators of Hans Brunnström 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 Hans Brunnström. Hans Brunnström 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
1.
Wagenius, Gunnar, Anders Vikström, Anders Berglund, et al.. (2025). Long-term real-world outcomes of first-line immunotherapy in non-small cell lung cancer – a population-based cohort study in Sweden. Acta Oncologica. 64. 415–422. 2 indexed citations
2.
Staaf, Johan, Hans Brunnström, Mats Jönsson, et al.. (2025). Multi‐omic profiling of squamous cell lung cancer identifies metabolites and related genes associated with squamous cell carcinoma. Molecular Oncology. 19(12). 3806–3820.
4.
Seidal, Tomas, et al.. (2024). The impact of different fixatives on immunostaining of lung adenocarcinomas in pleural effusion cell blocks. Cancer Cytopathology. 132(9). 569–579. 1 indexed citations
5.
Svobodová, Barbora, et al.. (2024). Overlapping Systemic Proteins in COVID-19 and Lung Fibrosis Associated with Tissue Remodeling and Inflammation. Biomedicines. 12(12). 2893–2893. 2 indexed citations
7.
Horie, Masafumi, Hiroshi Suzuki, Hans Brunnström, et al.. (2023). Distinct microRNA Signature and Suppression of ZFP36L1 Define ASCL1-Positive Lung Adenocarcinoma. Molecular Cancer Research. 22(1). 29–40. 2 indexed citations
8.
Brunnström, Hans, et al.. (2022). Interventional and EBUS cytology in Sweden. Seminars in Diagnostic Pathology. 39(6). 458–462. 1 indexed citations
9.
Brunnström, Hans, et al.. (2022). Feasibility of EBUS-TBNA for histopathological and molecular diagnostics of NSCLC—A retrospective single-center experience. PLoS ONE. 17(2). e0263342–e0263342. 4 indexed citations
10.
Bogatyrova, Olga, Johanna Sofia Margareta Mattsson, Edith Ross, et al.. (2021). FGFR1 overexpression in non-small cell lung cancer is mediated by genetic and epigenetic mechanisms and is a determinant of FGFR1 inhibitor response. European Journal of Cancer. 151. 136–149. 32 indexed citations
11.
Müller, Catharina, Oskar Rosmark, Emma Åhrman, et al.. (2021). Protein Signatures of Remodeled Airways in Transplanted Lungs with Bronchiolitis Obliterans Syndrome Obtained Using Laser-Capture Microdissection. American Journal Of Pathology. 191(8). 1398–1411. 7 indexed citations
12.
Lindquist, Kajsa Ericson, et al.. (2021). Real-World Diagnostic Accuracy and Use of Immunohistochemical Markers in Lung Cancer Diagnostics. Biomolecules. 11(11). 1721–1721. 5 indexed citations
13.
Viðarsdóttir, Halla, Björn Nodin, Per Jönsson, et al.. (2021). Clinical significance of RBM3 expression in surgically treated colorectal lung metastases and paired primary tumors. Journal of Surgical Oncology. 123(4). 1144–1156. 6 indexed citations
14.
Dejmek, Annika, et al.. (2021). Factors Influencing Concordance of PD-L1 Expression between Biopsies and Cytological Specimens in Non-Small Cell Lung Cancer. Diagnostics. 11(10). 1927–1927. 6 indexed citations
15.
Seidal, Tomas, et al.. (2021). Higher concordance of PD‐L1 expression between biopsies and effusions in epithelioid than in nonepithelioid pleural mesothelioma. Cancer Cytopathology. 129(6). 468–478. 4 indexed citations
16.
Micke, Patrick, Johanna Sofia Margareta Mattsson, Linnéa La Fleur, et al.. (2020). Comprehensive analysis of RNA binding motif protein 3 (RBM3) in non‐small cell lung cancer. Cancer Medicine. 9(15). 5609–5619. 9 indexed citations
17.
Andréasson, Kristofer, Göran Rådegran, Hans Brunnström, Dirk M. Wuttge, & Roger Hesselstrand. (2019). Pulmonary arterial hypertension in systemic sclerosis—when criteria and pathobiology differ. Lara D. Veeken. 59(5). 1177–1179. 2 indexed citations
18.
Isaksson, Sofi, Anthony M. George, Mats Jönsson, et al.. (2019). Pre-operative plasma cell-free circulating tumor DNA and serum protein tumor markers as predictors of lung adenocarcinoma recurrence. Acta Oncologica. 58(8). 1079–1086. 19 indexed citations
19.
Karlsson, Anna, Helena Cirenajwis, Hans Brunnström, et al.. (2019). A combined gene expression tool for parallel histological prediction and gene fusion detection in non-small cell lung cancer. Scientific Reports. 9(1). 5207–5207. 15 indexed citations
20.
Karlsson, Anna, Mats Jönsson, Martin Lauss, et al.. (2014). Genome-wide DNA Methylation Analysis of Lung Carcinoma Reveals One Neuroendocrine and Four Adenocarcinoma Epitypes Associated with Patient Outcome. Clinical Cancer Research. 20(23). 6127–6140. 82 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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