Femke Broere

4.1k total citations
105 papers, 3.0k citations indexed

About

Femke Broere is a scholar working on Immunology, Molecular Biology and Rehabilitation. According to data from OpenAlex, Femke Broere has authored 105 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Immunology, 45 papers in Molecular Biology and 9 papers in Rehabilitation. Recurrent topics in Femke Broere's work include Immunotherapy and Immune Responses (34 papers), T-cell and B-cell Immunology (33 papers) and Heat shock proteins research (29 papers). Femke Broere is often cited by papers focused on Immunotherapy and Immune Responses (34 papers), T-cell and B-cell Immunology (33 papers) and Heat shock proteins research (29 papers). Femke Broere collaborates with scholars based in Netherlands, South Africa and United Kingdom. Femke Broere's co-authors include Willem van Eden, Ruurd van der Zee, Lotte Wieten, Rachel Spiering, Martijn J. C. van Herwijnen, Irene S. Ludwig, Victor P. M. G. Rutten, Chantal Keijzer, Janneke N. Samsom and Peter J. S. van Kooten and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Nature reviews. Immunology.

In The Last Decade

Femke Broere

102 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Femke Broere Netherlands 31 1.3k 1.2k 240 225 224 105 3.0k
Ulf Meyer‐Hoffert Germany 32 971 0.7× 941 0.8× 146 0.6× 253 1.1× 329 1.5× 52 3.1k
Maria Antonietta Tufano Italy 31 577 0.4× 775 0.6× 215 0.9× 117 0.5× 441 2.0× 120 3.0k
Sumaira Z. Hasnain Australia 26 861 0.7× 1.2k 1.0× 247 1.0× 291 1.3× 398 1.8× 59 3.0k
Sun‐Young Chang South Korea 26 899 0.7× 958 0.8× 393 1.6× 206 0.9× 276 1.2× 64 2.6k
Keizo Kohno Japan 27 1.5k 1.1× 1.6k 1.3× 148 0.6× 172 0.8× 248 1.1× 64 3.6k
Mona Johannessen Norway 30 375 0.3× 1.5k 1.3× 501 2.1× 175 0.8× 246 1.1× 68 3.0k
Günther Weindl Germany 29 869 0.7× 999 0.8× 609 2.5× 147 0.7× 614 2.7× 75 3.3k
Oriana Simonetti Italy 28 564 0.4× 695 0.6× 271 1.1× 99 0.4× 336 1.5× 150 2.5k
Seyoum Ayehunie United States 24 945 0.7× 465 0.4× 440 1.8× 82 0.4× 358 1.6× 52 2.6k
Mi–Na Kweon South Korea 27 1.4k 1.0× 1.2k 1.0× 479 2.0× 384 1.7× 804 3.6× 41 3.4k

Countries citing papers authored by Femke Broere

Since Specialization
Citations

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

Fields of papers citing papers by Femke Broere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Femke Broere

This figure shows the co-authorship network connecting the top 25 collaborators of Femke Broere. A scholar is included among the top collaborators of Femke Broere 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 Femke Broere. Femke Broere 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.
Benne, Naomi, J. Janssen, Enrico Mastrobattista, & Femke Broere. (2025). Direct immunomodulatory effects of DSPC:DSPG:CHOL liposomes on murine dendritic cells. European Journal of Pharmaceutical Sciences. 212. 107201–107201.
2.
Hoornweg, Tabitha E., et al.. (2024). Antiviral activity of cathelicidins against porcine epidemic diarrhea virus (PEDV): Mechanisms, and efficacy. Virus Research. 350. 199496–199496. 3 indexed citations
3.
Rutten, Victor P. M. G., et al.. (2024). Citrus pectins impact the function of chicken macrophages. International Journal of Biological Macromolecules. 286. 138344–138344.
4.
Benne, Naomi, et al.. (2024). Autoantigen‐Dexamethasone Conjugate‐Loaded Liposomes Halt Arthritis Development in Mice. Advanced Healthcare Materials. 13(12). e2304238–e2304238. 10 indexed citations
5.
Schreibelt, Gerty, Paco M J Welsing, Tjitske Duiveman‐de Boer, et al.. (2024). Design of TOLERANT: phase I/II safety assessment of intranodal administration of HSP70/mB29a self-peptide antigen-loaded autologous tolerogenic dendritic cells in patients with rheumatoid arthritis. BMJ Open. 14(9). e078231–e078231. 4 indexed citations
6.
Vreman, Sandra, Irene S. Ludwig, Judith M. A. van den Brand, et al.. (2023). Immune Responses and Pathogenesis following Experimental SARS-CoV-2 Infection in Domestic Cats. Viruses. 15(5). 1052–1052. 1 indexed citations
7.
8.
9.
Schlotter, Yvette M., et al.. (2022). Efficacy of subcutaneous allergen immunotherapy in atopic dogs: A retrospective study of 664 cases. Veterinary Dermatology. 33(4). 321–321. 10 indexed citations
10.
Lau, Chun Yin Jerry, Naomi Benne, Bo Lou, et al.. (2022). Tuning Surface Charges of Peptide Nanofibers for Induction of Antigen-Specific Immune Tolerance: An Introductory Study. Journal of Pharmaceutical Sciences. 111(4). 1004–1011. 7 indexed citations
11.
Benne, Naomi, et al.. (2022). Nanoparticles for Inducing Antigen-Specific T Cell Tolerance in Autoimmune Diseases. Frontiers in Immunology. 13. 864403–864403. 29 indexed citations
12.
Benne, Naomi, et al.. (2021). Retinoic Acid-Containing Liposomes for the Induction of Antigen-Specific Regulatory T Cells as a Treatment for Autoimmune Diseases. Pharmaceutics. 13(11). 1949–1949. 14 indexed citations
13.
14.
Swart, Joost F., Sytze de Roock, Frans M.A. Hofhuis, et al.. (2014). Mesenchymal stem cell therapy in proteoglycan induced arthritis. Annals of the Rheumatic Diseases. 74(4). 769–777. 30 indexed citations
15.
Rutten, Victor P. M. G., et al.. (2013). The immunostimulatory effect of CpG oligodeoxynucleotides on peripheral blood mononuclear cells of healthy dogs and dogs with atopic dermatitis. The Veterinary Journal. 200(1). 103–108. 6 indexed citations
16.
Spiering, Rachel, Ruurd van der Zee, Josée P. A. Wagenaar, et al.. (2012). Tolerogenic Dendritic Cells That Inhibit Autoimmune Arthritis Can Be Induced by a Combination of Carvacrol and Thermal Stress. PLoS ONE. 7(9). e46336–e46336. 13 indexed citations
17.
Broere, Femke, Lotte Wieten, Joël A. G. van Roon, et al.. (2008). Oral or Nasal Antigen Induces Regulatory T Cells That Suppress Arthritis and Proliferation of Arthritogenic T Cells in Joint Draining Lymph Nodes. The Journal of Immunology. 181(2). 899–906. 46 indexed citations
18.
Zajonc, Dirk M., Peter F. Moore, Yvette M. Schlotter, et al.. (2008). Two canine CD1a proteins are differentially expressed in skin. Immunogenetics. 60(6). 315–324. 22 indexed citations
19.
Berlo, Suzanne E., Peter J. S. van Kooten, Femke Broere, et al.. (2005). Naive transgenic T cells expressing cartilage proteoglycan-specific TCR induce arthritis upon in vivo activation. Journal of Autoimmunity. 25(3). 172–180. 26 indexed citations
20.
Unger, Wendy W. J., Femke Broere, Wendy Jansen, et al.. (2003). Early Events in Peripheral Regulatory T Cell Induction via the Nasal Mucosa. The Journal of Immunology. 171(9). 4592–4603. 67 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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