Eva Brandén

1.6k total citations
47 papers, 1.0k citations indexed

About

Eva Brandén is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Eva Brandén has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pulmonary and Respiratory Medicine, 22 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Eva Brandén's work include Lung Cancer Treatments and Mutations (25 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Lung Cancer Research Studies (9 papers). Eva Brandén is often cited by papers focused on Lung Cancer Treatments and Mutations (25 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Lung Cancer Research Studies (9 papers). Eva Brandén collaborates with scholars based in Sweden, Canada and Germany. Eva Brandén's co-authors include Hirsh Koyi, Gunnar Hillerdal, Hirsh Koyi, Patrick Micke, Judy Gnarpe, H Gnarpe, Hans Brunnström, Johan Botling, Luigi De Petris and Rolf Lewensohn and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and CHEST Journal.

In The Last Decade

Eva Brandén

46 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Brandén Sweden 17 488 432 304 204 118 47 1.0k
John Naitoh United States 14 826 1.7× 343 0.8× 391 1.3× 169 0.8× 86 0.7× 31 1.3k
Kuan‐Yu Chen Taiwan 21 579 1.2× 513 1.2× 314 1.0× 163 0.8× 69 0.6× 39 1.1k
Tobias Nordström Sweden 21 1.5k 3.0× 314 0.7× 246 0.8× 272 1.3× 35 0.3× 75 1.9k
Lawrence R. Ragard United States 13 360 0.7× 253 0.6× 168 0.6× 136 0.7× 36 0.3× 28 1.1k
Se Ik Kim South Korea 21 131 0.3× 476 1.1× 504 1.7× 313 1.5× 99 0.8× 126 1.7k
Örjan Nordle Sweden 15 342 0.7× 260 0.6× 253 0.8× 117 0.6× 260 2.2× 26 1.1k
Chadrick E. Denlinger United States 23 638 1.3× 447 1.0× 677 2.2× 210 1.0× 162 1.4× 58 1.6k
Akihiro Nishiyama Japan 20 935 1.9× 795 1.8× 402 1.3× 283 1.4× 92 0.8× 80 1.4k
SA Roberts United Kingdom 13 152 0.3× 369 0.9× 429 1.4× 368 1.8× 86 0.7× 18 1.1k
Vladmir Cláudio Cordeiro de Lima Brazil 20 478 1.0× 806 1.9× 404 1.3× 297 1.5× 253 2.1× 90 1.5k

Countries citing papers authored by Eva Brandén

Since Specialization
Citations

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

Fields of papers citing papers by Eva Brandén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Brandén

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Brandén. A scholar is included among the top collaborators of Eva Brandén 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 Eva Brandén. Eva Brandén 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.
Isaksson, Johan, Eva Brandén, Hirsh Koyi, et al.. (2022). Highly elevated systemic inflammation is a strong independent predictor of early mortality in advanced non-small cell lung cancer. Cancer Treatment and Research Communications. 31. 100556–100556. 7 indexed citations
2.
Brandén, Eva, Hirsh Koyi, Rolf Lewensohn, et al.. (2020). Genetic association of gemcitabine/carboplatin-induced leukopenia and neutropenia in non-small cell lung cancer patients using whole-exome sequencing. Lung Cancer. 147. 106–114. 7 indexed citations
3.
Brandén, Eva, Hirsh Koyi, Rolf Lewensohn, et al.. (2020). Whole-genome sequencing and gene network modules predict gemcitabine/carboplatin-induced myelosuppression in non-small cell lung cancer patients. npj Systems Biology and Applications. 6(1). 25–25. 9 indexed citations
4.
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
5.
Fleur, Linnéa La, Elin Falk-Sörqvist, Anders Berglund, et al.. (2019). Mutation patterns in a population-based non-small cell lung cancer cohort and prognostic impact of concomitant mutations in KRAS and TP53 or STK11. Lung Cancer. 130. 50–58. 140 indexed citations
6.
Duruisseaux, M., Janessa Laskin, Khaled Tolba, et al.. (2019). P1.14-25 Targeting NRG1-Fusions in Lung Adenocarcinoma: Afatinib as a Novel Potential Treatment Strategy. Journal of Thoracic Oncology. 14(10). S563–S563. 2 indexed citations
7.
Edlund, Karolina, Katrin Madjar, Johanna Sofia Margareta Mattsson, et al.. (2019). Prognostic Impact of Tumor Cell Programmed Death Ligand 1 Expression and Immune Cell Infiltration in NSCLC. Journal of Thoracic Oncology. 14(4). 628–640. 41 indexed citations
8.
Brandén, Eva, Hirsh Koyi, Rolf Lewensohn, et al.. (2019). Genes and variants in hematopoiesis-related pathways are associated with gemcitabine/carboplatin-induced thrombocytopenia. The Pharmacogenomics Journal. 20(2). 179–191. 11 indexed citations
9.
Koyi, Hirsh, et al.. (2018). Co-localisation of Glandular and Squamous Cell Markers in Non-small Cell Lung Cancer. Anticancer Research. 38(6). 3341–3346. 1 indexed citations
10.
Hydbring, Per, Luigi De Petris, Yanming Zhang, et al.. (2018). Exosomal RNA-profiling of pleural effusions identifies adenocarcinoma patients through elevated miR-200 and LCN2 expression. Lung Cancer. 124. 45–52. 55 indexed citations
11.
Magnusson, Peter, Andreas Palm, Eva Brandén, & Stellan Mörner. (2017). Misclassification of hypertrophic cardiomyopathy: validation of diagnostic codes. Clinical Epidemiology. Volume 9. 403–410. 32 indexed citations
12.
Koyi, Hirsh, et al.. (2016). Non-small Cell Lung Cancer (NSCLC) in Octogenarians in Clinical Practice. Anticancer Research. 36(10). 5397–5402. 6 indexed citations
13.
Gréen, Henrik, Ilya Kupershmidt, Daniel Edsgärd, et al.. (2015). Using Whole-Exome Sequencing to Identify Genetic Markers for Carboplatin and Gemcitabine-Induced Toxicities. Clinical Cancer Research. 22(2). 366–373. 20 indexed citations
14.
15.
Brandén, Eva, et al.. (2014). Computer tomography-guided core biopsies in a county hospital in Sweden: Complication rate and diagnostic yield. Annals of Thoracic Medicine. 9(3). 149–149. 12 indexed citations
16.
Brandén, Eva. (2013). A 20-Year Follow-Up of a Case With Tracheobronchopathia Osteochondroplastica. Journal of Bronchology & Interventional Pulmonology. 20(1). 84–86. 11 indexed citations
17.
Pernemalm, Maria, Luigi De Petris, Hanna Eriksson, et al.. (2009). Use of narrow‐range peptide IEF to improve detection of lung adenocarcinoma markers in plasma and pleural effusion. PROTEOMICS. 9(13). 3414–3424. 44 indexed citations
18.
Koyi, Hirsh, et al.. (2002). The ‘reservoir’ of undetected bronchial carcinomas in the general population. Lung Cancer. 37(2). 137–142. 2 indexed citations
19.
Koyi, Hirsh, Gunnar Hillerdal, & Eva Brandén. (2002). Patient's and doctors’ delays in the diagnosis of chest tumors. Lung Cancer. 35(1). 53–57. 105 indexed citations
20.
Koyi, Hirsh, Eva Brandén, Judy Gnarpe, H Gnarpe, & Bertil Steen. (2001). An association between chronic infection with Chlamydia pneumoniae and lung cancer. A prospective 2‐year studyNote. Apmis. 109(9). 572–580. 57 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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