Ulrike Harre

2.5k total citations · 1 hit paper
20 papers, 1.4k citations indexed

About

Ulrike Harre is a scholar working on Rheumatology, Immunology and Molecular Biology. According to data from OpenAlex, Ulrike Harre has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Rheumatology, 8 papers in Immunology and 7 papers in Molecular Biology. Recurrent topics in Ulrike Harre's work include Rheumatoid Arthritis Research and Therapies (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Bone Metabolism and Diseases (5 papers). Ulrike Harre is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Bone Metabolism and Diseases (5 papers). Ulrike Harre collaborates with scholars based in Germany, Sweden and Netherlands. Ulrike Harre's co-authors include Georg Schett, Holger Bang, Hans Ulrich Scherer, Falk Nimmerjahn, Aline Bözec, Elena Ossipova, Anca I. Catrina, Per‐Johan Jakobsson, Lars Klareskog and Wolfgang Baum and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and PLoS ONE.

In The Last Decade

Ulrike Harre

20 papers receiving 1.4k citations

Hit Papers

Induction of osteoclastog... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrike Harre Germany 13 826 478 385 281 205 20 1.4k
Piyanka Chandra United States 12 932 1.1× 438 0.9× 524 1.4× 365 1.3× 176 0.9× 13 1.6k
Roger Aitchison United States 11 754 0.9× 464 1.0× 366 1.0× 212 0.8× 203 1.0× 20 1.4k
Teresa Owen United States 12 524 0.6× 308 0.6× 895 2.3× 288 1.0× 262 1.3× 14 1.5k
Yuki Nanke Japan 20 610 0.7× 511 1.1× 506 1.3× 60 0.2× 279 1.4× 83 1.5k
Yoshinori Katada Japan 17 529 0.6× 391 0.8× 462 1.2× 85 0.3× 333 1.6× 46 1.4k
Leen De Rycke Belgium 19 1.3k 1.5× 263 0.6× 681 1.8× 189 0.7× 109 0.5× 30 1.6k
Nicole Amft United Kingdom 14 407 0.5× 201 0.4× 596 1.5× 73 0.3× 407 2.0× 26 1.3k
Toru Yago Japan 17 480 0.6× 446 0.9× 465 1.2× 52 0.2× 267 1.3× 60 1.2k
Bernard Vandooren Belgium 17 863 1.0× 268 0.6× 633 1.6× 56 0.2× 108 0.5× 26 1.4k
María‐Eugenia Miranda‐Carús Spain 17 465 0.6× 188 0.4× 529 1.4× 120 0.4× 126 0.6× 30 1.0k

Countries citing papers authored by Ulrike Harre

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Harre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrike Harre

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike Harre. A scholar is included among the top collaborators of Ulrike Harre 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 Ulrike Harre. Ulrike Harre 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
2.
Engdahl, Cecilia, Ulrike Harre, Albert Bondt, et al.. (2017). SAT0019 Estrogen influences the sialylation profile and inflammatory properties of antibodies – a potential explanation for the sex differences and increased risk for ra in postmenopausal women. Annals of the Rheumatic Diseases. 76. 775–775. 2 indexed citations
3.
Derer, Anja, Fabian T. Andes, Patrick Lezuo, et al.. (2017). Galectin-3 as a novel regulator of osteoblast-osteoclast interaction and bone homeostasis. Bone. 105. 35–41. 41 indexed citations
4.
Harre, Ulrike & Georg Schett. (2017). Cellular and molecular pathways of structural damage in rheumatoid arthritis. Seminars in Immunopathology. 39(4). 355–363. 73 indexed citations
5.
Engdahl, Cecilia, Holger Bang, Katharina Dietel, et al.. (2017). Periarticular Bone Loss in Arthritis Is Induced by Autoantibodies Against Citrullinated Vimentin. Journal of Bone and Mineral Research. 32(8). 1681–1691. 46 indexed citations
6.
Huang, Jingang, Christiane Maier, Yun Zhang, et al.. (2017). Nintedanib inhibits macrophage activation and ameliorates vascular and fibrotic manifestations in the Fra2 mouse model of systemic sclerosis. Annals of the Rheumatic Diseases. 76(11). 1941–1949. 142 indexed citations
7.
Chakraborty, Sushmita, et al.. (2017). Pasteurella multocida Toxin Triggers RANKL-Independent Osteoclastogenesis. Frontiers in Immunology. 8. 185–185. 12 indexed citations
8.
Hauser, Barbara & Ulrike Harre. (2017). The Role of Autoantibodies in Bone Metabolism and Bone Loss. Calcified Tissue International. 102(5). 522–532. 11 indexed citations
9.
Lang, Stefanie, Ulrike Harre, Katharina Dietel, et al.. (2017). Neurodegeneration Enhances the Development of Arthritis. The Journal of Immunology. 198(6). 2394–2402. 11 indexed citations
10.
Harre, Ulrike & Georg Schett. (2016). Zusammenhang zwischen Knochenabbau und Antikörpern gegen citrullinierte Proteine bei der rheumatoiden Arthritis. Zeitschrift für Rheumatologie. 75(8). 809–811. 2 indexed citations
11.
Arnold, Marie-Luise, et al.. (2015). Association of a coding polymorphism in Fc gamma receptor 2A and graft survival in re-transplant candidates. Human Immunology. 76(10). 759–764. 11 indexed citations
12.
Chakraborty, Sushmita, et al.. (2015). Pasteurella multocida toxin- induced osteoclastogenesis requires mTOR activation. Cell Communication and Signaling. 13(1). 40–40. 13 indexed citations
13.
Derer, Anja, Ulrike Harre, Christina Böhm, et al.. (2014). Blockade of IL-36 Receptor Signaling Does Not Prevent from TNF-Induced Arthritis. PLoS ONE. 9(8). e101954–e101954. 45 indexed citations
14.
Harre, Ulrike, Nicolai A. Kittan, & Georg Schett. (2014). Autoantibody-Mediated Bone Loss. Current Osteoporosis Reports. 12(1). 17–21. 14 indexed citations
15.
Ossipova, Elena, Evan Reed, Nastya Kharlamova, et al.. (2014). Affinity purified anti-citrullinated protein/peptide antibodies target antigens expressed in the rheumatoid joint. Arthritis Research & Therapy. 16(4). R167–R167. 37 indexed citations
16.
Harre, Ulrike & Georg Schett. (2013). The ups and downs of bone in health and rheumatic disease. Nature Reviews Rheumatology. 9(2). 67–68. 7 indexed citations
17.
Kleyer, Arnd, Stephanie Finzel, Jürgen Rech, et al.. (2013). Bone loss before the clinical onset of rheumatoid arthritis in subjects with anticitrullinated protein antibodies. Annals of the Rheumatic Diseases. 73(5). 854–860. 248 indexed citations
18.
Kocijan, Roland, Ulrike Harre, & Georg Schett. (2013). ACPA and Bone Loss in Rheumatoid Arthritis. Current Rheumatology Reports. 15(10). 366–366. 35 indexed citations
19.
Harre, Ulrike, Hildegard Keppeler, Natacha Ipseiz, et al.. (2012). Moonlighting osteoclasts as undertakers of apoptotic cells. Autoimmunity. 45(8). 612–619. 50 indexed citations
20.
Harre, Ulrike, Dan Georgess, Holger Bang, et al.. (2012). Induction of osteoclastogenesis and bone loss by human autoantibodies against citrullinated vimentin. Journal of Clinical Investigation. 122(5). 1791–1802. 544 indexed citations breakdown →

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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