S.N. Kehlet

515 total citations
17 papers, 386 citations indexed

About

S.N. Kehlet is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, S.N. Kehlet has authored 17 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 5 papers in Cancer Research and 4 papers in Molecular Biology. Recurrent topics in S.N. Kehlet's work include Protease and Inhibitor Mechanisms (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Bone and Dental Protein Studies (3 papers). S.N. Kehlet is often cited by papers focused on Protease and Inhibitor Mechanisms (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Bone and Dental Protein Studies (3 papers). S.N. Kehlet collaborates with scholars based in Denmark, United States and Sweden. S.N. Kehlet's co-authors include M.A. Karsdal, Susanne Brix, Nicholas Willumsen, Diana Julie Leeming, Vı́ctor Moreno, Rebeca Sanz‐Pamplona, Cecilie L. Bager, Kim Henriksen, Gabriele Armbrecht and Søren Skov and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

S.N. Kehlet

17 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.N. Kehlet Denmark 12 122 114 100 70 60 17 386
Kathleen Dass United States 6 136 1.1× 156 1.4× 179 1.8× 60 0.9× 51 0.8× 17 458
Masanori Ii Japan 5 177 1.5× 201 1.8× 202 2.0× 51 0.7× 58 1.0× 5 449
Xia Ying China 10 82 0.7× 211 1.9× 71 0.7× 20 0.3× 43 0.7× 17 393
Chang Shu Wang Canada 12 241 2.0× 139 1.2× 146 1.5× 55 0.8× 173 2.9× 15 565
Melisa W-Y. Ho United States 5 193 1.6× 255 2.2× 108 1.1× 59 0.8× 130 2.2× 10 586
Jake A. Kloeber United States 13 110 0.9× 273 2.4× 67 0.7× 21 0.3× 86 1.4× 22 514
Åsa Thulin Sweden 11 80 0.7× 203 1.8× 77 0.8× 30 0.4× 44 0.7× 12 370
Sima Pazouki United Kingdom 9 82 0.7× 205 1.8× 97 1.0× 35 0.5× 48 0.8× 15 380
Miguel Bongera Spain 13 221 1.8× 143 1.3× 196 2.0× 61 0.9× 85 1.4× 23 435

Countries citing papers authored by S.N. Kehlet

Since Specialization
Citations

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

Fields of papers citing papers by S.N. Kehlet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S.N. Kehlet. A scholar is included among the top collaborators of S.N. Kehlet 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 S.N. Kehlet. S.N. Kehlet 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.
Nissen, Neel I., S.N. Kehlet, Mogens K. Boisen, et al.. (2021). Prognostic value of blood-based fibrosis biomarkers in patients with metastatic colorectal cancer receiving chemotherapy and bevacizumab. Scientific Reports. 11(1). 865–865. 22 indexed citations
2.
Nissen, Neel I., S.N. Kehlet, Astrid Z. Johansen, et al.. (2021). Noninvasive prognostic biomarker potential of quantifying the propeptides of Type XI collagen alpha‐1 chain (PRO‐C11) in patients with pancreatic ductal adenocarcinoma. International Journal of Cancer. 149(1). 228–238. 23 indexed citations
3.
Kehlet, S.N., Nicholas Willumsen, Gabriele Armbrecht, et al.. (2018). Age-related collagen turnover of the interstitial matrix and basement membrane: Implications of age- and sex-dependent remodeling of the extracellular matrix. PLoS ONE. 13(3). e0194458–e0194458. 56 indexed citations
4.
Kehlet, S.N., et al.. (2018). Non-invasive profiling of protease-specific elastin turnover in lung cancer: biomarker potential. Journal of Cancer Research and Clinical Oncology. 145(2). 383–392. 15 indexed citations
5.
Kehlet, S.N., Henrik Harling, Lars Nannestad Jørgensen, M.A. Karsdal, & Nicholas Willumsen. (2018). Effect of MMP-13 degraded SPARC on type I collagen and its biomarker potential in colorectal cancer.. Journal of Clinical Oncology. 36(4_suppl). 717–717. 1 indexed citations
6.
Kehlet, S.N., Tina Manon‐Jensen, Shu Sun, et al.. (2018). A fragment of SPARC reflecting increased collagen affinity shows pathological relevance in lung cancer – implications of a new collagen chaperone function of SPARC. Cancer Biology & Therapy. 19(10). 904–912. 20 indexed citations
7.
Kehlet, S.N., Anette M. Høye, Mogens K. Boisen, et al.. (2018). Prognostic evaluation of a new class of liquid biopsy biomarkers in patients with metastatic colorectal cancer: Using the tumor microenvironment as a source of protein biomarkers.. Journal of Clinical Oncology. 36(15_suppl). 3588–3588. 4 indexed citations
8.
9.
Kehlet, S.N., Cecilie L. Bager, Nicholas Willumsen, et al.. (2017). Cathepsin-S degraded decorin are elevated in fibrotic lung disorders – development and biological validation of a new serum biomarker. BMC Pulmonary Medicine. 17(1). 110–110. 45 indexed citations
10.
11.
Bager, Cecilie L., Nicholas Willumsen, S.N. Kehlet, et al.. (2016). Remodeling of the Tumor Microenvironment Predicts Increased Risk of Cancer in Postmenopausal Women: The Prospective Epidemiologic Risk Factor (PERF I) Study. Cancer Epidemiology Biomarkers & Prevention. 25(9). 1348–1355. 12 indexed citations
12.
Neergaard, Jesper Skov, S.N. Kehlet, Gesine Hansen, et al.. (2016). Cohort Profile: The Prospective Epidemiological Risk Factor (PERF) study. International Journal of Epidemiology. 46(4). dyw251–dyw251. 17 indexed citations
13.
Kehlet, S.N., Rebeca Sanz‐Pamplona, Susanne Brix, et al.. (2016). Excessive collagen turnover products are released during colorectal cancer progression and elevated in serum from metastatic colorectal cancer patients. Scientific Reports. 6(1). 30599–30599. 81 indexed citations
14.
Neergaard, Jesper Skov, I. Byrjalsen, Peter Alexandersen, et al.. (2015). Matrix Metalloproteinase Mediated Type I Collagen Degradation — An Independent Risk Factor for Mortality in Women. EBioMedicine. 2(7). 723–729. 25 indexed citations
15.
Siebuhr, Anne Sofie, N.S. Gudmann, S.N. Kehlet, et al.. (2015). AB0086 PTH Stimulates Cartilage Formation in Low Turnover Patients – a Possible Systemic Anabolic Treatment for OA?. Annals of the Rheumatic Diseases. 74. 919–919. 2 indexed citations
16.
Hagemann-Jensen, Michael, Franziska Uhlenbrock, S.N. Kehlet, et al.. (2014). The Selenium Metabolite Methylselenol Regulates the Expression of Ligands That Trigger Immune Activation through the Lymphocyte Receptor NKG2D. Journal of Biological Chemistry. 289(45). 31576–31590. 31 indexed citations
17.
Uhlenbrock, Franziska, Michael Hagemann-Jensen, S.N. Kehlet, et al.. (2014). The NKG2D Ligand ULBP2 Is Specifically Regulated through an Invariant Chain–Dependent Endosomal Pathway. The Journal of Immunology. 193(4). 1654–1665. 16 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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