D.J. Leeming

539 total citations
17 papers, 404 citations indexed

About

D.J. Leeming is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, D.J. Leeming has authored 17 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in D.J. Leeming's work include Bone health and treatments (6 papers), Liver Disease Diagnosis and Treatment (4 papers) and Bone health and osteoporosis research (4 papers). D.J. Leeming is often cited by papers focused on Bone health and treatments (6 papers), Liver Disease Diagnosis and Treatment (4 papers) and Bone health and osteoporosis research (4 papers). D.J. Leeming collaborates with scholars based in Denmark, Switzerland and United Kingdom. D.J. Leeming's co-authors include M.A. Karsdal, Per Qvist, Kim Henriksen, I. Byrjalsen, Sophie Schaller, László B. Tankó, Peter Alexandersen, Anne‐Christine Bay‐Jensen, Claus Christiansen and Martin R. Larsen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hepatology and Osteoporosis International.

In The Last Decade

D.J. Leeming

15 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.J. Leeming Denmark 9 139 138 121 66 51 17 404
Jukka P. Rissanen Finland 10 245 1.8× 225 1.6× 105 0.9× 40 0.6× 52 1.0× 24 580
Kaichi Kaneko Japan 14 98 0.7× 160 1.2× 52 0.4× 153 2.3× 42 0.8× 41 499
Silke Frey Germany 13 135 1.0× 150 1.1× 33 0.3× 179 2.7× 41 0.8× 20 648
Luigi Pio Guerrera Italy 10 190 1.4× 122 0.9× 19 0.2× 67 1.0× 57 1.1× 20 552
Donald McCarthy United Kingdom 12 176 1.3× 296 2.1× 40 0.3× 68 1.0× 72 1.4× 27 825
Qi Xiong China 12 254 1.8× 259 1.9× 51 0.4× 28 0.4× 86 1.7× 35 571
Anne Sophie Sølling Denmark 10 306 2.2× 205 1.5× 226 1.9× 24 0.4× 58 1.1× 18 436
Tetsuya Hamada Japan 13 121 0.9× 90 0.7× 23 0.2× 59 0.9× 88 1.7× 36 459
Natale Porta Italy 15 64 0.5× 178 1.3× 29 0.2× 48 0.7× 169 3.3× 43 488
Shaoling Zheng China 11 55 0.4× 162 1.2× 34 0.3× 103 1.6× 32 0.6× 25 367

Countries citing papers authored by D.J. Leeming

Since Specialization
Citations

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

Fields of papers citing papers by D.J. Leeming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.J. Leeming. 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 D.J. Leeming. The network helps show where D.J. Leeming may publish in the future.

Co-authorship network of co-authors of D.J. Leeming

This figure shows the co-authorship network connecting the top 25 collaborators of D.J. Leeming. A scholar is included among the top collaborators of D.J. Leeming 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 D.J. Leeming. D.J. Leeming 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
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Karsdal, M.A., Federica Genovese, Daniel Guldager Kring Rasmussen, et al.. (2021). Considerations for understanding protein measurements: Identification of formation, degradation and more pathological relevant epitopes. Clinical Biochemistry. 97. 11–24. 12 indexed citations
4.
Daniels, Samuel J., Morten Nielsen, Aleksander Krag, et al.. (2017). Serum Pro-C3 combined with clinical parameters is superior to established serological fibrosis tests at identifying patients with advanced fibrosis among patients with non-alcoholic fatty liver disease. Journal of Hepatology. 66(1). S671–S671. 5 indexed citations
5.
Leeming, D.J., Jane I. Grove, P Kaye, et al.. (2017). Estimation of serum “true collagen type III formation” (Pro-C3) levels as a marker of non-alcoholic steatohepatitis in a prospective cohort. Journal of Hepatology. 66(1). S154–S154. 14 indexed citations
6.
Karsdal, M.A., Mette Juul Nielsen, Maja Thiele, et al.. (2016). A Serological Marker of Collagen Type III Crosslinking Correlates Strongly with Severity of Liver Disease. Journal of Hepatology. 64(2). S733–S733. 1 indexed citations
7.
Nielsen, Morten, Douglas Thorburn, D.J. Leeming, et al.. (2016). Serological Biomarkers of Extracellular Matrix Remodeling Predict Transplant-Free Survival in Primary Sclerosing Cholangitis Patients. Journal of Hepatology. 64(2). S199–S199. 2 indexed citations
8.
Leeming, D.J., Grace Dolman, Morten Nielsen, et al.. (2016). True Collagen Type III Formation (Pro-C3) is Predictive of Outcome in HCV Patients with Advanced Liver Fibrosis with in the Trent Study. Journal of Hepatology. 64(2). S719–S720. 3 indexed citations
9.
Vassiliadis, Efstathios, et al.. (2013). Peptidyl arginine deiminase inhibitor effect on hepatic fibrogenesis in a CCl4 pre-clinical model of liver fibrosis. University of Southern Denmark Research Portal (University of Southern Denmark). 1 indexed citations
10.
Henriksen, Kim, D.J. Leeming, Claus Christiansen, & M.A. Karsdal. (2011). Use of Bone Turnover Markers in Clinical Osteoporosis Assessment in Women: Current Issues and Future Options. Women s Health. 7(6). 689–698. 18 indexed citations
11.
Leeming, D.J., Anne‐Christine Bay‐Jensen, Efstathios Vassiliadis, et al.. (2011). Post-translational modifications of the extracellular matrix are key events in cancer progression: Opportunities for biochemical marker development. Biomarkers. 16(3). 193–205. 68 indexed citations
12.
Leeming, D.J., Mitsuru Koizumi, Per Qvist, et al.. (2011). Serum N-Terminal Propeptide of Collagen Type I is Associated with the Number of Bone Metastases in Breast and Prostate Cancer and Correlates to Other Bone Related Markers. SHILAP Revista de lepidopterología. 3. BIC.S6484–BIC.S6484. 21 indexed citations
13.
Leeming, D.J., Dorthe Vang Larsen, Sanne Skovgård Veidal, et al.. (2010). Enzyme-linked immunosorbent serum assays (ELISAs) for rat and human N-terminal pro-peptide of collagen type I (PINP) — Assessment of corresponding epitopes. Clinical Biochemistry. 43(15). 1249–1256. 54 indexed citations
14.
Huebner, Janet L., D.J. Leeming, Robert E. Coleman, et al.. (2010). 048 URINARYMARKERS, ALPHA CTX AND CTXII, ARE INDICATIVE OF OA SEVERITY AND BONE TURNOVER. Osteoarthritis and Cartilage. 18. S29–S30.
15.
Leeming, D.J., Kim Henriksen, I. Byrjalsen, et al.. (2009). Is bone quality associated with collagen age?. Osteoporosis International. 20(9). 1461–1470. 56 indexed citations
16.
Karsdal, M.A., I. Byrjalsen, D.J. Leeming, & Claus Christiansen. (2008). Tibolone inhibits bone resorption without secondary positive effects on cartilage degradation. BMC Musculoskeletal Disorders. 9(1). 153–153. 28 indexed citations
17.
Leeming, D.J., Peter Alexandersen, M.A. Karsdal, et al.. (2006). An update on biomarkers of bone turnover and their utility in biomedical research and clinical practice. European Journal of Clinical Pharmacology. 62(10). 781–792. 120 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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