Anne Sofie Siebuhr

2.7k total citations · 2 hit papers
69 papers, 2.0k citations indexed

About

Anne Sofie Siebuhr is a scholar working on Rheumatology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Anne Sofie Siebuhr has authored 69 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Rheumatology, 19 papers in Pathology and Forensic Medicine and 13 papers in Molecular Biology. Recurrent topics in Anne Sofie Siebuhr's work include Rheumatoid Arthritis Research and Therapies (29 papers), Osteoarthritis Treatment and Mechanisms (27 papers) and Systemic Sclerosis and Related Diseases (16 papers). Anne Sofie Siebuhr is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (29 papers), Osteoarthritis Treatment and Mechanisms (27 papers) and Systemic Sclerosis and Related Diseases (16 papers). Anne Sofie Siebuhr collaborates with scholars based in Denmark, United States and Germany. Anne Sofie Siebuhr's co-authors include M.A. Karsdal, Anne‐Christine Bay‐Jensen, Claus Christiansen, N.S. Gudmann, C. Ladel, M. Michaelis, Diana Julie Leeming, Virginia B. Kraus, Jannie Marie Bülow Sand and Signe Holm Nielsen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Drug Delivery Reviews.

In The Last Decade

Anne Sofie Siebuhr

66 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The good and the bad collagens of fibrosis – Their role in signaling and organ function

2017 363 citations M.A. Karsdal, Signe Holm Nielsen et al. profile →
Disease-modifying treatments for osteoarthritis (DMOADs) of the knee and hip: lessons learned from failures and opportunities for the future

2016 274 citations M.A. Karsdal, M. Michaelis et al. Osteoarthritis and Cartilage profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anne Sofie Siebuhr Denmark	23	1.1k	441	393	335	256	69	2.0k
Thomas Häupl Germany	23	1.3k 1.2×	592 1.3×	176 0.4×	384 1.1×	309 1.2×	43	2.4k
Pamela J. Farmer Australia	18	759 0.7×	477 1.1×	216 0.5×	642 1.9×	233 0.9×	41	2.0k
Jean‐Pierre Pujol France	23	950 0.8×	683 1.5×	309 0.8×	277 0.8×	249 1.0×	36	2.0k
Erik R. Sampson United States	18	749 0.7×	704 1.6×	293 0.7×	214 0.6×	275 1.1×	28	1.5k
Kosei Ijiri Japan	23	1.3k 1.2×	1.0k 2.3×	434 1.1×	570 1.7×	275 1.1×	70	3.0k
E.N. Blaney Davidson Netherlands	25	1.9k 1.7×	1.1k 2.5×	502 1.3×	480 1.4×	245 1.0×	61	2.7k
Yoshinari Miyamoto Japan	16	787 0.7×	970 2.2×	368 0.9×	357 1.1×	269 1.1×	25	2.2k
Yubo Sun United States	21	646 0.6×	545 1.2×	144 0.4×	454 1.4×	296 1.2×	53	1.6k
P.L. van Lent Netherlands	24	916 0.8×	802 1.8×	287 0.7×	178 0.5×	204 0.8×	50	1.9k
Monika Hermansson United Kingdom	15	933 0.8×	437 1.0×	122 0.3×	135 0.4×	206 0.8×	19	1.6k

Countries citing papers authored by Anne Sofie Siebuhr

Since Specialization

Citations

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

Fields of papers citing papers by Anne Sofie Siebuhr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne Sofie Siebuhr. 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 Anne Sofie Siebuhr. The network helps show where Anne Sofie Siebuhr may publish in the future.

Co-authorship network of co-authors of Anne Sofie Siebuhr

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

All Works

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20 of 20 papers shown

Dobrotă, Rucsandra, Suzana Jordan, Nicoletta Del Papa, et al.. (2024). Dysregulation of circulating collagen turnover markers in very early systemic sclerosis. RMD Open. 10(2). e003306–e003306. 4 indexed citations

Sand, Jannie Marie Bülow, et al.. (2023). Fibroblasts are not just fibroblasts: clear differences between dermal and pulmonary fibroblasts’ response to fibrotic growth factors. Scientific Reports. 13(1). 9411–9411. 5 indexed citations

Nielsen, Signe Holm, Anne Sofie Siebuhr, Annette Schlemmer, et al.. (2021). Effect of n-3 PUFA on extracellular matrix protein turnover in patients with psoriatic arthritis: a randomized, double-blind, placebo-controlled trial. Rheumatology International. 41(6). 1065–1077. 12 indexed citations

Bay‐Jensen, Anne‐Christine, et al.. (2021). Connective tissue remodelling is differently modulated by tocilizumab versus methotrexate monotherapy in patients with early rheumatoid arthritis: the AMBITION study. Arthritis Research & Therapy. 23(1). 13–13. 9 indexed citations

Hawkins, Clare L., et al.. (2020). Dermal fibroblasts have different extracellular matrix profiles induced by TGF-β, PDGF and IL-6 in a model for skin fibrosis. Scientific Reports. 10(1). 17300–17300. 87 indexed citations

He, Yi, et al.. (2019). Reestablishment of the ARGS pharmacodynamic, serum biomarker. Development of a high sensitive chemiluminescence immunoassay for detection of aggrecanase-generated aggrecan fragments. Osteoarthritis and Cartilage. 27. S109–S110. 1 indexed citations

Sand, Jannie Marie Bülow, Anne Sofie Siebuhr, L Iversen, et al.. (2018). Development of a Neo-Epitope Specific Assay for Serological Assessment of Type VII Collagen Turnover and Its Relevance in Fibroproliferative Disorders. Assay and Drug Development Technologies. 16(2). 123–131. 8 indexed citations

Siebuhr, Anne Sofie, Désirée van der Heijde, Anne‐Christine Bay‐Jensen, et al.. (2018). Is radiographic progression in radiographic axial spondyloarthritis related to matrix metalloproteinase degradation of extracellular matrix?. RMD Open. 4(1). e000648–e000648. 11 indexed citations

Siebuhr, Anne Sofie, Anne‐Christine Bay‐Jensen, M.A. Karsdal, et al.. (2018). The anti-ADAMTS-5 nanobody®, M6495, protects against cartilage breakdown in cartilage and synovial joint tissue explant models. Osteoarthritis and Cartilage. 26. S187–S187. 11 indexed citations

10.

Bay‐Jensen, Anne‐Christine, et al.. (2018). Serum biomarkers of collagen turnover as potential diagnostic tools in diffuse systemic sclerosis: A cross-sectional study. PLoS ONE. 13(12). e0207324–e0207324. 24 indexed citations

11.

Bay‐Jensen, Anne‐Christine, Terkel Christiansen, M.A. Karsdal, et al.. (2017). Establishment of a Human Synovium and Cartilage Co-Culture. Osteoarthritis and Cartilage. 25. S276–S277.

12.

Bay‐Jensen, Anne‐Christine, Asger Reinstrup Bihlet, I. Byrjalsen, et al.. (2017). Elevated levels of CRPM, an inflammatory biomarker correlating with disease activity in RA, are prognostic of radiographic knee OA. Osteoarthritis and Cartilage. 25. S32–S32. 3 indexed citations

13.

Gudmann, N.S., Heidi Lausten Munk, Anne Friesgaard Christensen, et al.. (2016). Chondrocyte activity is increased in psoriatic arthritis and axial spondyloarthritis. Arthritis Research & Therapy. 18(1). 141–141. 25 indexed citations

14.

Valdes, Ana M., Tina Manon‐Jensen, Abhishek Abhishek, et al.. (2016). Intercritical circulating levels of neo-epitopes reflecting matrixmetalloprotease-driven degradation as markers of gout and frequent gout attacks. Lara D. Veeken. 55(9). 1642–1646. 4 indexed citations

15.

Siebuhr, Anne Sofie, et al.. (2015). Synovitis biomarkers: ex vivo characterization of three biomarkers for identification of inflammatory osteoarthritis. Biomarkers. 20(8). 547–556. 34 indexed citations

16.

Hosnijeh, Fatemeh Saberi, Anne Sofie Siebuhr, André G. Uitterlinden, et al.. (2015). Association between tissue-inflammation biomarkers and progression of osteoarthritis: Evidence from the Rotterdam Study. Osteoarthritis and Cartilage. 23. A50–A50. 1 indexed citations

17.

Munk, Heidi Lausten, N.S. Gudmann, Anne Friesgaard Christensen, et al.. (2015). Cartilage collagen type II seromarker patterns in axial spondyloarthritis and psoriatic arthritis: associations with disease activity, smoking and HLA-B27. Rheumatology International. 36(4). 541–549. 8 indexed citations

18.

Sun, Shu, Anne‐Christine Bay‐Jensen, M.A. Karsdal, et al.. (2014). The active form of MMP-3 is a marker of synovial inflammation and cartilage turnover in inflammatory joint diseases. BMC Musculoskeletal Disorders. 15(1). 93–93. 102 indexed citations

19.

Bay‐Jensen, Anne‐Christine, I. Byrjalsen, Anne Sofie Siebuhr, et al.. (2014). Serological Biomarkers of Joint Tissue Turnover Predict Tocilizumab Response at Baseline. JCR Journal of Clinical Rheumatology. 20(6). 332–335. 18 indexed citations

20.

Siebuhr, Anne Sofie, Kristian Kjær Petersen, Lars Arendt‐Nielsen, et al.. (2013). Identification and characterisation of osteoarthritis patients with inflammation derived tissue turnover. Osteoarthritis and Cartilage. 22(1). 44–50. 89 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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