Dana A. M. Mustafa

2.2k total citations
84 papers, 1.4k citations indexed

About

Dana A. M. Mustafa is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Dana A. M. Mustafa has authored 84 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Oncology, 25 papers in Molecular Biology and 23 papers in Immunology. Recurrent topics in Dana A. M. Mustafa's work include Pancreatic and Hepatic Oncology Research (20 papers), Cancer Immunotherapy and Biomarkers (15 papers) and Immune cells in cancer (11 papers). Dana A. M. Mustafa is often cited by papers focused on Pancreatic and Hepatic Oncology Research (20 papers), Cancer Immunotherapy and Biomarkers (15 papers) and Immune cells in cancer (11 papers). Dana A. M. Mustafa collaborates with scholars based in Netherlands, United States and Spain. Dana A. M. Mustafa's co-authors include Johan M. Kros, Caroline Cheng, Changbin Zhu, Theo M. Luider, Marcel van der Weiden, Ping‐Pin Zheng, Casper H.J. van Eijck, Lennard J. M. Dekker, Peter A.E. Sillevis Smitt and Riccardo Soffietti and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

Dana A. M. Mustafa

79 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
Dana A. M. Mustafa Netherlands 20 589 476 401 339 263 84 1.4k
Gregory J. Riggins United States 21 1.0k 1.7× 432 0.9× 116 0.3× 326 1.0× 158 0.6× 35 1.9k
Qianghu Wang China 22 1.1k 1.9× 406 0.9× 222 0.6× 649 1.9× 256 1.0× 59 2.1k
Orit Sagi‐Assif Israel 28 961 1.6× 1.1k 2.2× 732 1.8× 445 1.3× 302 1.1× 61 2.1k
Julhash U. Kazi Sweden 26 1.1k 1.9× 514 1.1× 443 1.1× 241 0.7× 161 0.6× 85 2.1k
Joshua C. Anderson United States 20 667 1.1× 253 0.5× 226 0.6× 196 0.6× 147 0.6× 64 1.1k
Meixiao Long United States 19 448 0.8× 648 1.4× 1.1k 2.8× 283 0.8× 213 0.8× 49 1.8k
Elena Levantini United States 22 1.6k 2.8× 785 1.6× 1.0k 2.6× 536 1.6× 339 1.3× 48 3.0k
Béatrice Cambien France 17 479 0.8× 368 0.8× 460 1.1× 141 0.4× 145 0.6× 29 1.6k
Pinaki Bose Canada 20 1.0k 1.8× 728 1.5× 354 0.9× 357 1.1× 227 0.9× 42 1.8k
Andrei Turtoï France 27 1.1k 1.8× 580 1.2× 312 0.8× 483 1.4× 246 0.9× 64 1.9k

Countries citing papers authored by Dana A. M. Mustafa

Since Specialization
Citations

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

Fields of papers citing papers by Dana A. M. Mustafa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana A. M. Mustafa. 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 Dana A. M. Mustafa. The network helps show where Dana A. M. Mustafa may publish in the future.

Co-authorship network of co-authors of Dana A. M. Mustafa

This figure shows the co-authorship network connecting the top 25 collaborators of Dana A. M. Mustafa. A scholar is included among the top collaborators of Dana A. M. Mustafa 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 Dana A. M. Mustafa. Dana A. M. Mustafa 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.
Broekhuizen, Michelle, Marie‐Louise van der Hoorn, Michael Eikmans, et al.. (2025). Similar Spatial Expression of Immune‐Related Proteins in SARS‐CoV‐2 Placentitis and Chronic Histiocytic Intervillositis. European Journal of Immunology. 55(1). e202451386–e202451386.
2.
Real, Francisco X., Núria Malats, Thierry van den Bosch, et al.. (2024). GATA6 identifies an immune-enriched phenotype linked to favorable outcomes in patients with pancreatic cancer undergoing upfront surgery. Cell Reports Medicine. 5(5). 101557–101557. 5 indexed citations
3.
4.
Salarzaei, Morteza, et al.. (2024). Unraveling Differences in Molecular Mechanisms and Immunological Contrasts between Squamous Cell Carcinoma and Adenocarcinoma of the Cervix. International Journal of Molecular Sciences. 25(11). 6205–6205. 3 indexed citations
5.
Thüsen, Jan H. von der, Dana A. M. Mustafa, Thierry van den Bosch, et al.. (2024). Granulomas in Common Variable Immunodeficiency Display Different Histopathological Features Compared to Other Granulomatous Diseases. Journal of Clinical Immunology. 45(1). 22–22. 4 indexed citations
6.
Kucukcelebi, Songul, et al.. (2024). Rintatolimod in Advanced Pancreatic Cancer Enhances Antitumor Immunity through Dendritic Cell–Mediated T-Cell Responses. Clinical Cancer Research. 30(16). 3447–3458. 7 indexed citations
7.
Koning, Willem de, Andrew Stubbs, Yunlei Li, et al.. (2023). Spatial genomics reveals a high number and specific location of B cells in the pancreatic ductal adenocarcinoma microenvironment of long-term survivors. Frontiers in Immunology. 13. 995715–995715. 13 indexed citations
8.
Koning, Willem de, et al.. (2023). Unlocking molecular mechanisms and identifying druggable targets in matched-paired brain metastasis of breast and lung cancers. Frontiers in Immunology. 14. 1305644–1305644. 4 indexed citations
9.
Mustafa, Dana A. M., Noel F.C.C. de Miranda, Bas Groot Koerkamp, et al.. (2023). Enhanced antitumour immunity following neoadjuvant chemoradiotherapy mediates a favourable prognosis in women with resected pancreatic cancer. Gut. 73(2). 311–324. 18 indexed citations
10.
Aziz, M. Hosein, et al.. (2023). Overexpression of the adhesion signaling pathway is linked to short-term survival in pancreatic ductal adenocarcinoma. Pancreatology. 24(1). 62–65. 2 indexed citations
11.
12.
Koetsveld, Peter M. van, et al.. (2022). The Class I HDAC Inhibitor Valproic Acid Strongly Potentiates Gemcitabine Efficacy in Pancreatic Cancer by Immune System Activation. Biomedicines. 10(3). 517–517. 11 indexed citations
13.
14.
Homs, Marjolein Y.V., Thierry van den Bosch, Koop Bosscha, et al.. (2021). Serum miR-373-3p and miR-194-5p Are Associated with Early Tumor Progression during FOLFIRINOX Treatment in Pancreatic Cancer Patients: A Prospective Multicenter Study. International Journal of Molecular Sciences. 22(20). 10902–10902. 15 indexed citations
15.
Mustafa, Dana A. M., et al.. (2021). Robust deep learning model for prognostic stratification of pancreatic ductal adenocarcinoma patients. iScience. 24(12). 103415–103415. 12 indexed citations
16.
Weiden, Marcel van der, et al.. (2021). Differential Expression of BOC, SPOCK2, and GJD3 Is Associated with Brain Metastasis of ER-Negative Breast Cancers. Cancers. 13(12). 2982–2982. 12 indexed citations
17.
18.
Kros, Johan M., Lennard J. M. Dekker, Christoph Stingl, et al.. (2020). Identification of Blood–Brain Barrier-Associated Proteins in the Human Brain. Journal of Proteome Research. 20(1). 531–537. 8 indexed citations
19.
Groeneveldt, Christianne, Diana J.M. van den Wollenberg, Jim Middelburg, et al.. (2020). Preconditioning of the tumor microenvironment with oncolytic reovirus converts CD3-bispecific antibody treatment into effective immunotherapy. Journal for ImmunoTherapy of Cancer. 8(2). e001191–e001191. 46 indexed citations
20.
Koning, Willem de, Milad Miladi, Saskia Hiltemann, et al.. (2020). NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy. GigaScience. 9(10). 40 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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