Burcu Ayoglu

1.8k total citations
16 papers, 579 citations indexed

About

Burcu Ayoglu is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Burcu Ayoglu has authored 16 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Burcu Ayoglu's work include Monoclonal and Polyclonal Antibodies Research (10 papers), Advanced Biosensing Techniques and Applications (6 papers) and T-cell and B-cell Immunology (5 papers). Burcu Ayoglu is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), Advanced Biosensing Techniques and Applications (6 papers) and T-cell and B-cell Immunology (5 papers). Burcu Ayoglu collaborates with scholars based in Sweden, United States and Germany. Burcu Ayoglu's co-authors include Peter Nilsson, Jochen M. Schwenk, Mathias Uhlén, Tomas Olsson, Mohsen Khademi, Björn Forsström, Paul J. Utz, Arash Zandian, Anna Häggmark and Erik Lönnblom and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Burcu Ayoglu

16 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Burcu Ayoglu Sweden 12 246 209 174 158 59 16 579
Bert ’t Hart Netherlands 11 254 1.0× 144 0.7× 115 0.7× 222 1.4× 168 2.8× 15 641
Shiao Hui Melissa Liew United Kingdom 14 102 0.4× 338 1.6× 208 1.2× 176 1.1× 45 0.8× 21 990
Sara Mangialaio Switzerland 8 451 1.8× 203 1.0× 212 1.2× 221 1.4× 46 0.8× 8 928
Rebecca A. Sweet United States 11 521 2.1× 75 0.4× 135 0.8× 132 0.8× 100 1.7× 12 732
Peter Weiser United States 14 343 1.4× 143 0.7× 33 0.2× 129 0.8× 63 1.1× 28 616
Joël F.G. Cohen-Solal France 11 210 0.9× 166 0.8× 80 0.5× 116 0.7× 20 0.3× 14 347
H. Offner United States 13 493 2.0× 109 0.5× 74 0.4× 76 0.5× 89 1.5× 20 619
Linda Spatz United States 18 583 2.4× 398 1.9× 370 2.1× 145 0.9× 100 1.7× 31 935
S. Sriram United States 6 344 1.4× 82 0.4× 71 0.4× 118 0.7× 162 2.7× 12 605
Yufen Qin United States 14 598 2.4× 116 0.6× 141 0.8× 152 1.0× 289 4.9× 24 911

Countries citing papers authored by Burcu Ayoglu

Since Specialization
Citations

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

Fields of papers citing papers by Burcu Ayoglu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Burcu Ayoglu

This figure shows the co-authorship network connecting the top 25 collaborators of Burcu Ayoglu. A scholar is included among the top collaborators of Burcu Ayoglu 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 Burcu Ayoglu. Burcu Ayoglu 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.
Sountoulidis, Alexandros, Jan N. Hansen, Sergio Marco Salas, et al.. (2024). High-parametric protein maps reveal the spatial organization in early-developing human lung. Nature Communications. 15(1). 9381–9381. 2 indexed citations
2.
Ayoglu, Burcu, Michele Donato, Daniel E. Furst, et al.. (2023). Characterising the autoantibody repertoire in systemic sclerosis following myeloablative haematopoietic stem cell transplantation. Annals of the Rheumatic Diseases. 82(5). 670–680. 10 indexed citations
3.
Bedri, Sahl Khalid, Ola B. Nilsson, Katharina Fink, et al.. (2019). Plasma protein profiling reveals candidate biomarkers for multiple sclerosis treatment. PLoS ONE. 14(5). e0217208–e0217208. 11 indexed citations
4.
Sng, Joel, Burcu Ayoglu, Jeff W. Chen, et al.. (2019). AIRE expression controls the peripheral selection of autoreactive B cells. Science Immunology. 4(34). 60 indexed citations
5.
Ge, Changrong, Erik Lönnblom, Hui Feng, et al.. (2019). The autoantibody response to cyclic citrullinated collagen type II peptides in rheumatoid arthritis. Lara D. Veeken. 58(9). 1623–1633. 26 indexed citations
6.
Sjöberg, Ronald, Eni Andersson, Cecilia Hellström, et al.. (2018). High-Density Antigen Microarrays for the Assessment of Antibody Selectivity and Off-Target Binding. Methods in molecular biology. 1785. 231–238. 1 indexed citations
7.
Bergström, Sofia, Sven Bergström, Helene Andersson Svahn, et al.. (2018). Levels of human proteins in plasma associated with acute paediatric malaria. Malaria Journal. 17(1). 426–426. 19 indexed citations
8.
Ge, Changrong, Bingze Xu, Erik Lönnblom, et al.. (2018). Structural Basis of Cross‐Reactivity of Anti–Citrullinated Protein Antibodies. Arthritis & Rheumatology. 71(2). 210–221. 55 indexed citations
9.
Degn, Søren E., Cees E. van der Poel, Daniel J. Firl, et al.. (2017). Clonal Evolution of Autoreactive Germinal Centers. Cell. 170(5). 913–926.e19. 91 indexed citations
10.
Ge, Changrong, Erik Lönnblom, Nadine Schneider, et al.. (2017). Anti-citrullinated protein antibodies cause arthritis by cross-reactivity to joint cartilage. JCI Insight. 2(13). 53 indexed citations
11.
Zandian, Arash, Björn Forsström, Anna Månberg, et al.. (2017). Whole-Proteome Peptide Microarrays for Profiling Autoantibody Repertoires within Multiple Sclerosis and Narcolepsy. Journal of Proteome Research. 16(3). 1300–1314. 53 indexed citations
12.
Ayoglu, Burcu, Nicholas Mitsios, Ingrid Kockum, et al.. (2016). Anoctamin 2 identified as an autoimmune target in multiple sclerosis. Proceedings of the National Academy of Sciences. 113(8). 2188–2193. 79 indexed citations
13.
Ayoglu, Burcu, Eszter Szarka, Anna Magyar, et al.. (2014). Bead Arrays for Antibody and Complement Profiling Reveal Joint Contribution of Antibody Isotypes to C3 Deposition. PLoS ONE. 9(5). e96403–e96403. 12 indexed citations
14.
Ayoglu, Burcu, Anna Häggmark, Nicholas Mitsios, et al.. (2014). Affinity Proteomic Profiling of Plasma, Cerebrospinal Fluid, and Brain Tissue within Multiple Sclerosis. Journal of Proteome Research. 13(11). 4607–4619. 33 indexed citations
15.
Ayoglu, Burcu, Anna Häggmark, Mohsen Khademi, et al.. (2013). Autoantibody Profiling in Multiple Sclerosis Using Arrays of Human Protein Fragments. Molecular & Cellular Proteomics. 12(9). 2657–2672. 63 indexed citations
16.
Kremer, Anita N., Edith D. van der Meijden, M. Willy Honders, et al.. (2013). Development of a coordinated allo T cell and auto B cell response against autosomal PTK2B after allogeneic hematopoietic stem cell transplantation. Haematologica. 99(2). 365–369. 11 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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