Anna Darabi

2.6k total citations
43 papers, 1.4k citations indexed

About

Anna Darabi is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Anna Darabi has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 17 papers in Oncology and 13 papers in Molecular Biology. Recurrent topics in Anna Darabi's work include Glioma Diagnosis and Treatment (12 papers), Immunotherapy and Immune Responses (10 papers) and Immune cells in cancer (6 papers). Anna Darabi is often cited by papers focused on Glioma Diagnosis and Treatment (12 papers), Immunotherapy and Immune Responses (10 papers) and Immune cells in cancer (6 papers). Anna Darabi collaborates with scholars based in Sweden, Germany and United Kingdom. Anna Darabi's co-authors include Peter Siesjö, Edward Visse, Emma Sandén, Johan Bengzon, Daniel Bexell, Salina Gunnarsson, Sara Fritzell, Wiaam Badn, John Inge Johnsen and Ariane Tormin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Anna Darabi

42 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Darabi Sweden 21 494 492 487 465 202 43 1.4k
Xiaohong Yao China 26 1.2k 2.3× 332 0.7× 783 1.6× 550 1.2× 614 3.0× 43 2.1k
Yanwen Jiang United States 29 1.3k 2.7× 525 1.1× 459 0.9× 466 1.0× 402 2.0× 104 2.5k
Xiancheng Chen China 21 582 1.2× 213 0.4× 249 0.5× 158 0.3× 186 0.9× 46 1.0k
Liangyu Lin China 18 928 1.9× 578 1.2× 748 1.5× 700 1.5× 533 2.6× 24 2.3k
Sunish Mohanan United States 14 490 1.0× 150 0.3× 481 1.0× 305 0.7× 228 1.1× 24 1.3k
Shilpee Dutt India 21 902 1.8× 154 0.3× 295 0.6× 269 0.6× 199 1.0× 48 1.5k
Anthony Venida United States 5 474 1.0× 97 0.2× 528 1.1× 664 1.4× 198 1.0× 6 1.4k
Charles E. de Bock Australia 26 1.1k 2.3× 140 0.3× 432 0.9× 286 0.6× 433 2.1× 69 2.0k
Shaojun Zhu China 20 943 1.9× 206 0.4× 326 0.7× 196 0.4× 451 2.2× 47 1.6k
Dorina Veliceasa United States 21 775 1.6× 146 0.3× 283 0.6× 284 0.6× 435 2.2× 28 1.4k

Countries citing papers authored by Anna Darabi

Since Specialization
Citations

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

Fields of papers citing papers by Anna Darabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Darabi

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Darabi. A scholar is included among the top collaborators of Anna Darabi 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 Anna Darabi. Anna Darabi 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.
Kopecký, Jan, Edward Visse, Myriam Cerezo-Magaña, et al.. (2026). Mitoxantrone alters CD24/Siglec-10 expression in malignant brain tumor models. Scientific Reports. 16(1). 3696–3696.
2.
Zhang, Shasha, et al.. (2021). Circular RNAs in Hedgehog Signaling Activation and Hedgehog-Mediated Medulloblastoma Tumors. Cancers. 13(20). 5138–5138. 7 indexed citations
3.
Menard, Julien A., Vineesh Indira Chandran, Maria C. Johansson, et al.. (2019). Extracellular lipid loading augments hypoxic paracrine signaling and promotes glioma angiogenesis and macrophage infiltration. Journal of Experimental & Clinical Cancer Research. 38(1). 241–241. 27 indexed citations
4.
Sandén, Emma, Cecilia Dyberg, Cecilia Krona, et al.. (2015). Aberrant immunostaining pattern of the CD24 glycoprotein in clinical samples and experimental models of pediatric medulloblastomas. Journal of Neuro-Oncology. 123(1). 1–13. 12 indexed citations
5.
6.
Svensson, Andreas, et al.. (2015). Al adjuvants can be tracked in viable cells by lumogallion staining. Journal of Immunological Methods. 422. 87–94. 20 indexed citations
7.
8.
Darabi, Anna, et al.. (2014). HLA-I Antigen Presentation and Tapasin Influence Immune Responses Against Malignant Brain Tumors – Considerations for Successful Immunotherapy. Anti-Cancer Agents in Medicinal Chemistry. 14(8). 1094–1100. 7 indexed citations
9.
Svensson, Andreas, Sara Fritzell, Daniel Bexell, et al.. (2014). Intratumorally implanted mesenchymal stromal cells potentiate peripheral immunotherapy against malignant rat gliomas. Journal of Neuroimmunology. 274(1-2). 240–243. 9 indexed citations
10.
Fritzell, Sara, et al.. (2013). Intratumoral temozolomide synergizes with immunotherapy in a T cell-dependent fashion. Cancer Immunology Immunotherapy. 62(9). 1463–1474. 41 indexed citations
11.
Badn, Wiaam, et al.. (2012). Inhibition of cyclooxygenase-2 enhances immunotherapy against experimental brain tumors. Cancer Immunology Immunotherapy. 61(8). 1191–1199. 21 indexed citations
12.
Røder, Gustav, Anna Darabi, Mikkel Harndahl, et al.. (2009). The outermost N‐terminal region of tapasin facilitates folding of major histocompatibility complex class I. European Journal of Immunology. 39(10). 2682–2694. 11 indexed citations
13.
Bexell, Daniel, Salina Gunnarsson, Peter Siesjö, Johan Bengzon, & Anna Darabi. (2009). CD133+ and nestin+ tumor‐initiating cells dominate in N29 and N32 experimental gliomas. International Journal of Cancer. 125(1). 15–22. 30 indexed citations
14.
Bexell, Daniel, Salina Gunnarsson, Ariane Tormin, et al.. (2008). Bone Marrow Multipotent Mesenchymal Stroma Cells Act as Pericyte-like Migratory Vehicles in Experimental Gliomas. Molecular Therapy. 17(1). 183–190. 199 indexed citations
15.
Fritzell, Sara, Wiaam Badn, Shorena Janelidze, et al.. (2008). Cure of established GL261 mouse gliomas after combined immunotherapy with GM‐CSF and IFNγ is mediated by both CD8+ and CD4+ T‐cells. International Journal of Cancer. 124(3). 630–637. 22 indexed citations
16.
17.
Badn, Wiaam, Anna Darabi, Shorena Janelidze, et al.. (2007). Inhibition of Inducible Nitric Oxide Synthase Enhances Anti‐tumour Immune Responses in Rats Immunized with IFN‐γ‐Secreting Glioma Cells. Scandinavian Journal of Immunology. 65(3). 289–297. 20 indexed citations
18.
Salford, Leif, Peter Siesjö, Gunnar Skagerberg, et al.. (2005). Immunization with autologous glioma cells transfected with IFN-g gene significantly prolongs survival in GBM-patients older than 50 years. Lund University Publications (Lund University). 5 indexed citations
19.
Järnum, Sofia, et al.. (2004). LEPREL1, a novel ER and Golgi resident member of the Leprecan family. Biochemical and Biophysical Research Communications. 317(2). 342–351. 28 indexed citations
20.
Kjellman, Christian, Gabriella Honeth, Sofia Järnum, et al.. (2004). Identification and characterization of a human smad3 splicing variant lacking part of the linker region. Gene. 327(2). 141–152. 9 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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