Daniel Hägerstrand

727 total citations
16 papers, 482 citations indexed

About

Daniel Hägerstrand is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Daniel Hägerstrand has authored 16 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Daniel Hägerstrand's work include Glioma Diagnosis and Treatment (8 papers), MicroRNA in disease regulation (5 papers) and Cancer-related molecular mechanisms research (4 papers). Daniel Hägerstrand is often cited by papers focused on Glioma Diagnosis and Treatment (8 papers), MicroRNA in disease regulation (5 papers) and Cancer-related molecular mechanisms research (4 papers). Daniel Hägerstrand collaborates with scholars based in Sweden, Denmark and United States. Daniel Hägerstrand's co-authors include Monica Nistér, Arne Östman, Göran Hesselager, Maja Bradic Lindh, Xiaobing He, Arne Östman, Sefanja Achterberg, C-H Heldin, Marianne Kastemar and Elin Sjöberg and has published in prestigious journals such as Cancer Research, Oncogene and Scientific Reports.

In The Last Decade

Daniel Hägerstrand

16 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Hägerstrand Sweden 10 253 176 168 131 109 16 482
Kouichi Tabu Japan 14 332 1.3× 268 1.5× 134 0.8× 124 0.9× 88 0.8× 30 629
Hye-Min Jeon South Korea 10 332 1.3× 192 1.1× 236 1.4× 135 1.0× 62 0.6× 10 544
Donna Guo United States 5 194 0.8× 279 1.6× 143 0.9× 111 0.8× 175 1.6× 5 511
Stine Skov Jensen Denmark 12 201 0.8× 205 1.2× 158 0.9× 177 1.4× 101 0.9× 17 495
Svenja Zapf Germany 14 294 1.2× 254 1.4× 201 1.2× 270 2.1× 150 1.4× 17 714
Diane D. Mao United States 11 242 1.0× 150 0.9× 104 0.6× 128 1.0× 102 0.9× 16 482
Simon Kjær Hermansen Denmark 11 333 1.3× 136 0.8× 269 1.6× 155 1.2× 51 0.5× 15 534
Emily C. Brantley United States 7 263 1.0× 268 1.5× 127 0.8× 96 0.7× 182 1.7× 8 593
Talha Anwar United States 12 320 1.3× 176 1.0× 129 0.8× 83 0.6× 56 0.5× 15 542
Tamalee Kramp United States 13 314 1.2× 148 0.8× 143 0.9× 120 0.9× 52 0.5× 25 534

Countries citing papers authored by Daniel Hägerstrand

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hägerstrand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hägerstrand

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

All Works

16 of 16 papers shown
1.
Keller, Maureen, et al.. (2022). Altered cytoskeletal status in the transition from proneural to mesenchymal glioblastoma subtypes. Scientific Reports. 12(1). 9838–9838. 7 indexed citations
2.
Guo, Min, Melanie Pieber, Elin Sjöberg, et al.. (2021). SFRP2 induces a mesenchymal subtype transition by suppression of SOX2 in glioblastoma. Oncogene. 40(32). 5066–5080. 17 indexed citations
3.
Guo, Min, et al.. (2021). The association between Annexin A2 and epithelial cell adhesion molecule in breast cancer cells. Cancer Reports. 5(5). e1498–e1498. 4 indexed citations
4.
Guo, Min, Jian Zhao, Teresita Díaz de Ståhl, et al.. (2020). Identification of functionally distinct and interacting cancer cell subpopulations from glioblastoma with intratumoral genetic heterogeneity. Neuro-Oncology Advances. 2(1). vdaa061–vdaa061. 9 indexed citations
5.
Sjöberg, Elin, Max Meyrath, Laura Milde, et al.. (2019). A Novel ACKR2-Dependent Role of Fibroblast-Derived CXCL14 in Epithelial-to-Mesenchymal Transition and Metastasis of Breast Cancer. Clinical Cancer Research. 25(12). 3702–3717. 87 indexed citations
6.
Leiss, Lina, Nicholas P. Tobin, Hrvoje Miletić, et al.. (2019). Astrocytes enhance glioblastoma growth. Glia. 68(2). 316–327. 56 indexed citations
7.
Espinoza, Jaime A., Min Guo, Jiří Bártek, et al.. (2018). Reduced Expression of PROX1 Transitions Glioblastoma Cells into a Mesenchymal Gene Expression Subtype. Cancer Research. 78(20). 5901–5916. 10 indexed citations
8.
Rouhi, Pegah, Kumar Sanjiv, Helge Gad, et al.. (2017). Glioblastoma and glioblastoma stem cells are dependent on functional MTH1. Oncotarget. 8(49). 84671–84684. 35 indexed citations
9.
Elsir, Tamador, Daniel Hägerstrand, Joseph W. Carlson, et al.. (2016). PROX1 is a novel pathway-specific prognostic biomarker for high-grade astrocytomas; results from independent glioblastoma cohorts stratified by age and IDH mutation status. Oncotarget. 7(45). 72431–72442. 11 indexed citations
10.
Guo, Min, Susanne Heller, Lukas M. Orre, et al.. (2016). Abstract 2385: Understanding the dynamic interplay between genetically different cancer cell clones in glioblastoma. Cancer Research. 76(14_Supplement). 2385–2385. 1 indexed citations
11.
Shen, Rhine R., Alicia Y. Zhou, Eugene Kim, et al.. (2013). TRAF2 is an NF-κB-activating oncogene in epithelial cancers. Oncogene. 34(2). 209–216. 51 indexed citations
12.
Hägerstrand, Daniel, Xiaobing He, Maja Bradic Lindh, et al.. (2011). Identification of a SOX2-dependent subset of tumor- and sphere-forming glioblastoma cells with a distinct tyrosine kinase inhibitor sensitivity profile. Neuro-Oncology. 13(11). 1178–1191. 73 indexed citations
13.
Hägerstrand, Daniel, Maja Bradic Lindh, Cristina Peña, et al.. (2010). PI3K/PTEN/Akt pathway status affects the sensitivity of high-grade glioma cell cultures to the insulin-like growth factor-1 receptor inhibitor NVP-AEW541. Neuro-Oncology. 12(9). 967–975. 30 indexed citations
14.
Uecker, Andrea, Thomas Beckers, Siavosh Mahboobi, et al.. (2010). Chimeric tyrosine kinase-HDAC inhibitors as antiproliferative agents. Anti-Cancer Drugs. 21(8). 759–765. 6 indexed citations
15.
Hägerstrand, Daniel, Anja Smits, Anna Eriksson, et al.. (2007). Gene expression analyses of grade II gliomas and identification of rPTPβ/ζ as a candidate oligodendroglioma marker. Neuro-Oncology. 10(1). 2–9. 7 indexed citations
16.
Hägerstrand, Daniel, Göran Hesselager, Sefanja Achterberg, et al.. (2006). Characterization of an imatinib-sensitive subset of high-grade human glioma cultures. Oncogene. 25(35). 4913–4922. 78 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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