Michaela Seeling

1.1k total citations
17 papers, 683 citations indexed

About

Michaela Seeling is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Michaela Seeling has authored 17 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Immunology. Recurrent topics in Michaela Seeling's work include Monoclonal and Polyclonal Antibodies Research (9 papers), T-cell and B-cell Immunology (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Michaela Seeling is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), T-cell and B-cell Immunology (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Michaela Seeling collaborates with scholars based in Germany, United States and Netherlands. Michaela Seeling's co-authors include Falk Nimmerjahn, Georg Schett, Inessa Schwab, Anja Lux, Jan Tuckermann, Ralf J. Ludwig, Michael Kasperkiewicz, Sidonia Mihai, Gerhard Krönke and Gordon F. Heidkamp and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Michaela Seeling

16 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaela Seeling Germany 11 384 343 322 117 65 17 683
Christina Gerstner Sweden 9 287 0.7× 125 0.4× 122 0.4× 223 1.9× 73 1.1× 12 500
Taichi Sekine Japan 15 196 0.5× 178 0.5× 87 0.3× 203 1.7× 58 0.9× 27 565
David Plows Greece 8 186 0.5× 159 0.5× 66 0.2× 189 1.6× 141 2.2× 9 504
M L Banquerigo United States 8 203 0.5× 240 0.7× 89 0.3× 80 0.7× 113 1.7× 10 619
Erica Moore United States 9 399 1.0× 185 0.5× 34 0.1× 184 1.6× 47 0.7× 13 583
Jeff Faint United Kingdom 9 164 0.4× 130 0.4× 82 0.3× 199 1.7× 103 1.6× 11 577
J.P. Salier France 12 141 0.4× 258 0.8× 84 0.3× 44 0.4× 36 0.6× 30 538
L Tesio Italy 9 305 0.8× 165 0.5× 84 0.3× 34 0.3× 87 1.3× 17 611
Elaine Murray Australia 13 383 1.0× 210 0.6× 164 0.5× 32 0.3× 200 3.1× 25 835
Alison Connor Canada 13 152 0.4× 285 0.8× 37 0.1× 88 0.8× 117 1.8× 17 550

Countries citing papers authored by Michaela Seeling

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Seeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Seeling

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

All Works

17 of 17 papers shown
1.
Hiergeist, Andreas, Michaela Seeling, Joachim Gläsner, et al.. (2025). Genetic Differences Between N and J Sub-Strains of C57BL/6 Mice Critically Affect Multiple Immune Responses and Their Microbiota. Immunological Investigations. 54(7). 1167–1194.
2.
Deloch, Lisa, Stephanie Hehlgans, Michael Rückert, et al.. (2022). Radon Improves Clinical Response in an Animal Model of Rheumatoid Arthritis Accompanied by Increased Numbers of Peripheral Blood B Cells and Interleukin-5 Concentration. Cells. 11(4). 689–689. 5 indexed citations
3.
Weißmann, Thomas, Michael Rückert, Jian‐Guo Zhou, et al.. (2022). Low-Dose Radiotherapy Leads to a Systemic Anti-Inflammatory Shift in the Pre-Clinical K/BxN Serum Transfer Model and Reduces Osteoarthritic Pain in Patients. Frontiers in Immunology. 12. 777792–777792. 20 indexed citations
4.
Wahlbuhl, Mandy, Sonia Schuepbach‐Mallepell, Jung Park, et al.. (2021). Correction of Vertebral Bone Development in Ectodysplasin A1-Deficient Mice by Prenatal Treatment With a Replacement Protein. Frontiers in Genetics. 12. 709736–709736. 3 indexed citations
5.
Zaytseva, Olga O., Michaela Seeling, Jasminka Krištić, et al.. (2020). Fc-Linked IgG N-Glycosylation in FcγR Knock-Out Mice. Frontiers in Cell and Developmental Biology. 8. 67–67. 11 indexed citations
6.
Schmitt, H, Sieglinde Angermüller, Michaela Seeling, et al.. (2020). Siglec-15 on Osteoclasts Is Crucial for Bone Erosion in Serum-Transfer Arthritis. The Journal of Immunology. 205(10). 2595–2605. 10 indexed citations
7.
Seeling, Michaela, Falk Nimmerjahn, Attila Mócsai, et al.. (2018). Oral administration of the selective GPR120/FFA4 agonist compound A is not effective in alleviating tissue inflammation in mouse models of prototypical autoimmune diseases. Pharmacology Research & Perspectives. 6(6). e00438–e00438. 16 indexed citations
8.
9.
Lehmann, Christian H.K., Anna Barańska, Gordon F. Heidkamp, et al.. (2017). DC subset–specific induction of T cell responses upon antigen uptake via Fcγ receptors in vivo. The Journal of Experimental Medicine. 214(5). 1509–1528. 56 indexed citations
10.
Seeling, Michaela, et al.. (2017). Differential antibody glycosylation in autoimmunity: sweet biomarker or modulator of disease activity?. Nature Reviews Rheumatology. 13(10). 621–630. 137 indexed citations
11.
Stock, Michael, Alfiya Distler, Jörg H. W. Distler, et al.. (2015). Fc-gamma receptors are not involved in cartilage damage during experimental osteoarthritis. Osteoarthritis and Cartilage. 23(7). 1221–1225. 5 indexed citations
12.
Seeling, Michaela & Falk Nimmerjahn. (2015). Unlocking the bone: Fcγ-receptors and antibody glycosylation are keys to connecting bone homeostasis to humoral immunity.. PubMed. 3(12). 163–163. 4 indexed citations
13.
Lux, Anja, Michaela Seeling, Anne Baerenwaldt, et al.. (2014). A Humanized Mouse Identifies the Bone Marrow as a Niche with Low Therapeutic IgG Activity. Cell Reports. 7(1). 236–248. 38 indexed citations
14.
Schwab, Inessa, Sidonia Mihai, Michaela Seeling, et al.. (2014). Broad requirement for terminal sialic acid residues and FcγRIIB for the preventive and therapeutic activity of intravenous immunoglobulins in vivo. European Journal of Immunology. 44(5). 1444–1453. 101 indexed citations
15.
Seeling, Michaela, et al.. (2013). Inflammatory monocytes and Fcγ receptor IV on osteoclasts are critical for bone destruction during inflammatory arthritis in mice. Proceedings of the National Academy of Sciences. 110(26). 10729–10734. 144 indexed citations
16.
Schwab, Inessa, Michaela Seeling, Markus Biburger, et al.. (2012). B cells and CD22 are dispensable for the immediate antiinflammatory activity of intravenous immunoglobulins in vivo. European Journal of Immunology. 42(12). 3302–3309. 34 indexed citations
17.
Seeling, Michaela & Adolph R. Berger. (1974). Range of Normal Serum Magnesium Values. New England Journal of Medicine. 290(17). 974–975. 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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