N.S. Gudmann

1.6k total citations · 1 hit paper
37 papers, 1.1k citations indexed

About

N.S. Gudmann is a scholar working on Rheumatology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, N.S. Gudmann has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Rheumatology, 9 papers in Molecular Biology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in N.S. Gudmann's work include Rheumatoid Arthritis Research and Therapies (12 papers), Liver Disease Diagnosis and Treatment (7 papers) and Spondyloarthritis Studies and Treatments (6 papers). N.S. Gudmann is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (12 papers), Liver Disease Diagnosis and Treatment (7 papers) and Spondyloarthritis Studies and Treatments (6 papers). N.S. Gudmann collaborates with scholars based in Denmark, Germany and United States. N.S. Gudmann's co-authors include M.A. Karsdal, Diana Julie Leeming, Anne Sofie Siebuhr, Mette Juul Nielsen, Samuel J. Daniels, Signe Holm Nielsen, Jannie Marie Bülow Sand, Tina Manon‐Jensen, Detlef Schuppan and Sarah Rank Rønnow and has published in prestigious journals such as PLoS ONE, Hepatology and Advanced Drug Delivery Reviews.

In The Last Decade

N.S. Gudmann

35 papers receiving 1.0k 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. Advanced Drug Delivery Reviews profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
N.S. Gudmann Denmark	18	295	256	217	214	174	37	1.1k
Lise Larsen Denmark	14	215 0.7×	200 0.8×	158 0.7×	123 0.6×	134 0.8×	15	880
Shu Sun Denmark	17	324 1.1×	170 0.7×	108 0.5×	233 1.1×	176 1.0×	45	1.2k
Matthew S. Holdren United States	12	373 1.3×	188 0.7×	328 1.5×	133 0.6×	206 1.2×	15	960
Qinlong Zheng Denmark	23	457 1.5×	296 1.2×	215 1.0×	391 1.8×	255 1.5×	46	1.6k
Ioannis Diamantis Switzerland	20	374 1.3×	396 1.5×	255 1.2×	95 0.4×	240 1.4×	48	1.2k
Joachim Høg Mortensen Denmark	17	262 0.9×	265 1.0×	97 0.4×	80 0.4×	148 0.9×	62	1.1k
Calypso Barbatis Greece	23	297 1.0×	245 1.0×	190 0.9×	175 0.8×	266 1.5×	57	1.3k
Borut Klopcic Australia	10	233 0.8×	264 1.0×	264 1.2×	64 0.3×	117 0.7×	13	747
Steffen K. Meurer Germany	21	452 1.5×	235 0.9×	243 1.1×	46 0.2×	116 0.7×	38	1.0k
Archie J. Malcolm United Kingdom	22	479 1.6×	231 0.9×	153 0.7×	219 1.0×	269 1.5×	42	1.3k

Countries citing papers authored by N.S. Gudmann

Since Specialization

Citations

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

Fields of papers citing papers by N.S. Gudmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.S. Gudmann. 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 N.S. Gudmann. The network helps show where N.S. Gudmann may publish in the future.

Co-authorship network of co-authors of N.S. Gudmann

This figure shows the co-authorship network connecting the top 25 collaborators of N.S. Gudmann. A scholar is included among the top collaborators of N.S. Gudmann 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 N.S. Gudmann. N.S. Gudmann 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

Thiele, Maja, Stine Johansen, N.S. Gudmann, et al.. (2021). Progressive alcohol‐related liver fibrosis is characterised by imbalanced collagen formation and degradation. Alimentary Pharmacology & Therapeutics. 54(8). 1070–1080. 28 indexed citations

Gudmann, N.S., Tina Manon‐Jensen, Maja Thiele, et al.. (2021). Serologically assessed heat shock protein 47 is related to fibrosis stage in early compensated alcohol-related liver disease. Clinical Biochemistry. 104. 36–43. 5 indexed citations

Madsen, Bjørn Stæhr, Maja Thiele, Sönke Detlefsen, et al.. (2021). PRO‐C3 and ADAPT algorithm accurately identify patients with advanced fibrosis due to alcohol‐related liver disease. Alimentary Pharmacology & Therapeutics. 54(5). 699–708. 18 indexed citations

Khan, Muzamil Majid, Daniel Poeckel, Aliaksandr Halavatyi, et al.. (2020). An integrated multiomic and quantitative label-free microscopy-based approach to study pro-fibrotic signalling in ex vivo human precision-cut lung slices. European Respiratory Journal. 58(1). 2000221–2000221. 25 indexed citations

Nielsen, Mette Juul, Ida Falk Villesen, N.S. Gudmann, et al.. (2019). Serum markers of type III and IV procollagen processing predict recurrence of fibrosis in liver transplanted patients. Scientific Reports. 9(1). 14857–14857. 21 indexed citations

Karsdal, M.A., Alexander Lynge Reese‐Petersen, Mette Juul Nielsen, et al.. (2019). The Pro-Peptide Of Type Vi Collagen (Endotrophin) Is Equipotent To Tgf-B In Inducing Fibrosis: Identification Of A Self-Perpetuating Vicious Cycle Driving Fibrosis Mediated By Collagen Signals. University of Southern Denmark Research Portal (University of Southern Denmark). 70. 1 indexed citations

Kimer, Nina, N.S. Gudmann, Julie Steen Pedersen, et al.. (2018). No effect of rifaximin on soluble CD163, mannose receptor or type III and IV neoepitope collagen markers in decompensated cirrhosis: Results from a randomized, placebo controlled trial. PLoS ONE. 13(9). e0203200–e0203200. 5 indexed citations

Gudmann, N.S., Tina Manon‐Jensen, Jannie Marie Bülow Sand, et al.. (2018). Lung tissue destruction by proteinase 3 and cathepsin G mediated elastin degradation is elevated in chronic obstructive pulmonary disease. Biochemical and Biophysical Research Communications. 503(3). 1284–1290. 38 indexed citations

Gudmann, N.S., Shintaro Hirata, M.A. Karsdal, et al.. (2018). Increased remodelling of interstitial collagens and basement membrane is suppressed by treatment in patients with rheumatoid arthritis: serological evaluation of a one-year prospective study of 149 Japanese patients.. PubMed. 36(3). 462–470. 13 indexed citations

10.

Karsdal, M.A., Signe Holm Nielsen, Diana Julie Leeming, et al.. (2017). The good and the bad collagens of fibrosis – Their role in signaling and organ function. Advanced Drug Delivery Reviews. 121. 43–56. 363 indexed citations breakdown →

11.

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

12.

Bager, Cecilie L., N.S. Gudmann, Nicholas Willumsen, et al.. (2016). Quantification of fibronectin as a method to assess ex vivo extracellular matrix remodeling. Biochemical and Biophysical Research Communications. 478(2). 586–591. 23 indexed citations

13.

Maijer, Karen I., N.S. Gudmann, M.A. Karsdal, et al.. (2016). Neo-Epitopes—Fragments of Cartilage and Connective Tissue Degradation in Early Rheumatoid Arthritis and Unclassified Arthritis. PLoS ONE. 11(3). e0149329–e0149329. 21 indexed citations

14.

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

15.

Gudmann, N.S., Terkel Christiansen, Ole Simonsen, et al.. (2014). Cartilage turnover is reflected by the metabolic processing of type ii collagen: a novel serum marker of chondrocytes anabolic function and cartilage repair. Osteoarthritis and Cartilage. 22. S73–S73. 1 indexed citations

16.

Thudium, Christian S., Ilana Moscatelli, Carmen Flores, et al.. (2014). A Comparison of Osteoclast-Rich and Osteoclast-Poor Osteopetrosis in Adult Mice Sheds Light on the Role of the Osteoclast in Coupling Bone Resorption and Bone Formation. Calcified Tissue International. 95(1). 83–93. 29 indexed citations

17.

Gudmann, N.S., et al.. (2014). Biological relevance of citrullinations: diagnostic, prognostic and therapeutic options. Autoimmunity. 48(2). 73–79. 44 indexed citations

18.

Moscatelli, Ilana, Christian S. Thudium, Carmen Flores, et al.. (2013). Lentiviral gene transfer of TCIRG1 into peripheral blood CD34+ cells restores osteoclast function in infantile malignant osteopetrosis. Bone. 57(1). 1–9. 15 indexed citations

19.

Flores, Carmen, Ilana Moscatelli, Christian S. Thudium, et al.. (2013). Osteoclasts are not crucial for hematopoietic stem cell maintenance in adult mice. Haematologica. 98(12). 1848–1855. 11 indexed citations

20.

Henriksen, Kim, Christian S. Thudium, N.S. Gudmann, et al.. (2012). A specific subtype of osteoclasts secretes factors inducing nodule formation by osteoblasts. Bone. 51(3). 353–361. 32 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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