Max Backman

1.2k total citations
22 papers, 716 citations indexed

About

Max Backman is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Max Backman has authored 22 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Immunology. Recurrent topics in Max Backman's work include Cancer Immunotherapy and Biomarkers (11 papers), Immunotherapy and Immune Responses (6 papers) and Lung Cancer Treatments and Mutations (6 papers). Max Backman is often cited by papers focused on Cancer Immunotherapy and Biomarkers (11 papers), Immunotherapy and Immune Responses (6 papers) and Lung Cancer Treatments and Mutations (6 papers). Max Backman collaborates with scholars based in Sweden, Germany and Norway. Max Backman's co-authors include Patrick Micke, Dijana Djureinovic, Artur Mezheyeuski, Patrik Eklund, L. Krönberg, Rainer Sjöholm, Annika Smeds, Hans Brunnström, Tobias Sjöblom and Jarle Bruun and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and European Journal of Cancer.

In The Last Decade

Max Backman

20 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Backman Sweden 13 357 262 183 152 140 22 716
Yingqiu Zhang China 15 225 0.6× 487 1.9× 78 0.4× 119 0.8× 139 1.0× 31 772
Qianjun Zhou China 18 180 0.5× 323 1.2× 286 1.6× 52 0.3× 170 1.2× 33 844
Zhaolin Xu Canada 14 263 0.7× 398 1.5× 314 1.7× 44 0.3× 180 1.3× 41 893
Shixiu Wu China 14 282 0.8× 399 1.5× 98 0.5× 115 0.8× 105 0.8× 36 830
Sunali Mehta New Zealand 17 224 0.6× 431 1.6× 91 0.5× 66 0.4× 188 1.3× 39 772
Weixi Shen China 14 155 0.4× 181 0.7× 138 0.8× 58 0.4× 89 0.6× 28 580
Daniele G. Soares France 14 277 0.8× 439 1.7× 103 0.6× 33 0.2× 143 1.0× 29 820
Junko Baba Japan 5 216 0.6× 237 0.9× 112 0.6× 70 0.5× 84 0.6× 5 548
Preethi Ravindranathan United States 14 263 0.7× 560 2.1× 241 1.3× 49 0.3× 256 1.8× 18 1.0k

Countries citing papers authored by Max Backman

Since Specialization
Citations

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

Fields of papers citing papers by Max Backman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Backman

This figure shows the co-authorship network connecting the top 25 collaborators of Max Backman. A scholar is included among the top collaborators of Max Backman 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 Max Backman. Max Backman 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.
Yu, Hui, Hans Brunnström, Johan Botling, et al.. (2025). Spatial distribution of tertiary lymphoid structures in the molecular and clinical context of non-small cell lung cancer. Cellular Oncology. 48(3). 801–813. 4 indexed citations
2.
3.
Hikmet, Feria, Max Backman, Loren Méar, et al.. (2023). Expression of cancer–testis antigens in the immune microenvironment of non‐small cell lung cancer. Molecular Oncology. 17(12). 2603–2617. 9 indexed citations
4.
Mattsson, Johanna Sofia Margareta, et al.. (2023). Tumor Heterogeneity Confounds Lymphocyte Metrics in Diagnostic Lung Cancer Biopsies. Archives of Pathology & Laboratory Medicine. 148(1). e18–e24. 2 indexed citations
5.
Backman, Max, Carina Strell, Johanna Sofia Margareta Mattsson, et al.. (2023). Spatial immunophenotyping of the tumour microenvironment in non–small cell lung cancer. European Journal of Cancer. 185. 40–52. 24 indexed citations
6.
Pellinen, Teijo, Lassi Paavolainen, Carina Strell, et al.. (2022). Fibroblast subsets in non-small cell lung cancer: Associations with survival, mutations, and immune features. JNCI Journal of the National Cancer Institute. 115(1). 71–82. 38 indexed citations
7.
Backman, Max, Carina Strell, Johanna Sofia Margareta Mattsson, et al.. (2022). Spatial Immunophenotyping of the Tumor Microenvironment in Non-Small Cell Lung Cancer. SSRN Electronic Journal.
8.
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
9.
Goldmann, Torsten, Sebastian Marwitz, Rosemarie Krupar, et al.. (2021). PD-L1 amplification is associated with an immune cell rich phenotype in squamous cell cancer of the lung. Cancer Immunology Immunotherapy. 70(9). 2577–2587. 18 indexed citations
10.
Corvigno, Sara, Nienke C. te Grootenhuis, Linnéa La Fleur, et al.. (2021). Stromal FAP is an independent poor prognosis marker in non-small cell lung adenocarcinoma and associated with p53 mutation. Lung Cancer. 155. 10–19. 33 indexed citations
11.
Miyashita, Naoya, Masafumi Horie, Yu Mikami, et al.. (2020). ASCL1 promotes tumor progression through cell-autonomous signaling and immune modulation in a subset of lung adenocarcinoma. Cancer Letters. 489. 121–132. 10 indexed citations
12.
Moens, Lotte, Jonas Carlsson Almlöf, Gilbert Lauter, et al.. (2020). Evaluation of NTRK immunohistochemistry as a screening method for NTRK gene fusion detection in non-small cell lung cancer. Lung Cancer. 151. 53–59. 19 indexed citations
13.
Lindskog, Cecilia, Max Backman, Agata Zieba, et al.. (2020). Proximity Ligation Assay as a Tool for Antibody Validation in Human Tissues. Journal of Histochemistry & Cytochemistry. 68(7). 515–529. 7 indexed citations
14.
Mattsson, Johanna Sofia Margareta, et al.. (2019). Programmed Cell Death Ligand 1 Immunohistochemistry: A Concordance Study Between Surgical Specimen, Biopsy, and Tissue Microarray. Clinical Lung Cancer. 20(4). 258–262.e1. 21 indexed citations
15.
Vassilevskaia, Tatiana, et al.. (2018). PO-463 Multiparametric analysis of lung cancer tissue sections using imaging mass cytometry. ESMO Open. 3. A412–A412. 1 indexed citations
16.
Brunnström, Hans, Sofia Westbom-Fremer, Max Backman, et al.. (2017). PD-L1 immunohistochemistry in clinical diagnostics of lung cancer: inter-pathologist variability is higher than assay variability. Modern Pathology. 30(10). 1411–1421. 159 indexed citations
17.
Micke, Patrick, et al.. (2017). PD-L1 immunohistochemistry in clinical diagnostics: Inter-pathologist variability is as high as assay variability.. Journal of Clinical Oncology. 35(15_suppl). e20637–e20637. 2 indexed citations
18.
Eklund, Patrik, Max Backman, L. Krönberg, Annika Smeds, & Rainer Sjöholm. (2007). Identification of lignans by liquid chromatography‐electrospray ionization ion‐trap mass spectrometry. Journal of Mass Spectrometry. 43(1). 97–107. 142 indexed citations
19.
Arman, Maria & Max Backman. (2007). A longitudinal study on women?s experiences of life with breast cancer in anthroposophical (complementary) and conventional care. European Journal of Cancer Care. 16(5). 444–450. 18 indexed citations
20.
Befrits, Ragnar, et al.. (2004). Long-term effects of eradication of Helicobacter pylori on relapse and histology in gastric ulcer patients: a two-year follow-up study. Scandinavian Journal of Gastroenterology. 39(11). 1066–1072. 12 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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