T. Pedersen

1.4k total citations
47 papers, 1.1k citations indexed

About

T. Pedersen is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, T. Pedersen has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 11 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Molecular Biology. Recurrent topics in T. Pedersen's work include Lipoproteins and Cardiovascular Health (5 papers), Chronic Kidney Disease and Diabetes (5 papers) and Dialysis and Renal Disease Management (5 papers). T. Pedersen is often cited by papers focused on Lipoproteins and Cardiovascular Health (5 papers), Chronic Kidney Disease and Diabetes (5 papers) and Dialysis and Renal Disease Management (5 papers). T. Pedersen collaborates with scholars based in Denmark, United Kingdom and United States. T. Pedersen's co-authors include Lars B. Nielsen, Christina Christoffersen, Emil D. Bartels, Annemarie Aarup, V. Pedersen, Hannu Koponen, Alan Wade, Ulla Lepola, Morten Johnsen and Per Sjøgren and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Circulation Research.

In The Last Decade

T. Pedersen

47 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Pedersen Denmark 18 355 212 193 164 124 47 1.1k
Hong Zhu China 16 340 1.0× 212 1.0× 103 0.5× 59 0.4× 67 0.5× 64 1.0k
M Popescu Romania 14 234 0.7× 75 0.4× 123 0.6× 145 0.9× 141 1.1× 73 948
Daniel Fishbein United States 9 172 0.5× 317 1.5× 213 1.1× 102 0.6× 135 1.1× 17 920
Qinbo Yang China 21 504 1.4× 88 0.4× 91 0.5× 177 1.1× 180 1.5× 52 1.2k
Toni Karhu Finland 20 202 0.6× 171 0.8× 136 0.7× 123 0.8× 91 0.7× 29 1.1k
Yujing Zhang China 17 237 0.7× 169 0.8× 107 0.6× 64 0.4× 33 0.3× 89 950
R. W. Jubb United Kingdom 18 169 0.5× 164 0.8× 220 1.1× 142 0.9× 40 0.3× 34 1.8k
Katharina Spanaus Switzerland 16 471 1.3× 152 0.7× 99 0.5× 39 0.2× 129 1.0× 37 1.2k
Xiaohong Lin China 18 297 0.8× 79 0.4× 196 1.0× 79 0.5× 45 0.4× 51 1.1k
Qi Yu China 20 408 1.1× 132 0.6× 159 0.8× 90 0.5× 40 0.3× 104 1.7k

Countries citing papers authored by T. Pedersen

Since Specialization
Citations

This map shows the geographic impact of T. Pedersen'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 T. Pedersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Pedersen more than expected).

Fields of papers citing papers by T. Pedersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Pedersen

This figure shows the co-authorship network connecting the top 25 collaborators of T. Pedersen. A scholar is included among the top collaborators of T. Pedersen 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 T. Pedersen. T. Pedersen 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
1.
Østergaard, Mette V., Philip J. Pedersen, Andrew J. Murray, et al.. (2020). Rat pancreatectomy combined with isoprenaline or uninephrectomy as models of diabetic cardiomyopathy or nephropathy. Scientific Reports. 10(1). 16130–16130. 4 indexed citations
2.
Fink, Lisbeth N., Brandon B. Boland, Thomas Secher, et al.. (2019). Impact of sex on diabetic nephropathy and the renal transcriptome in UNx db/db C57BLKS mice. Physiological Reports. 7(24). e14333–e14333. 20 indexed citations
3.
Esaiassen, Eirin, Erik Hjerde, Jorunn Pauline Cavanagh, et al.. (2018). Effects of Probiotic Supplementation on the Gut Microbiota and Antibiotic Resistome Development in Preterm Infants. Frontiers in Pediatrics. 6. 347–347. 65 indexed citations
4.
Aarup, Annemarie, Carsten H. Nielsen, Ilze Bot, et al.. (2017). Uremia does not affect neointima formation in mice. Scientific Reports. 7(1). 6496–6496. 4 indexed citations
5.
Martinussen, Torben, et al.. (2017). Effects of apolipoprotein M in uremic atherosclerosis. Atherosclerosis. 265. 93–101. 15 indexed citations
6.
Hansen, Peter Riis, Lars B. Nielsen, Karsten Hartvigsen, et al.. (2016). Effect of 12-O-tetradecanoylphorbol-13-acetate-induced psoriasis-like skin lesions on systemic inflammation and atherosclerosis in hypercholesterolaemic apolipoprotein E deficient mice. BMC Dermatology. 16(1). 9–9. 21 indexed citations
7.
Aarup, Annemarie, Sebastian Albinsson, Karsten Hartvigsen, et al.. (2016). Uremia modulates the phenotype of aortic smooth muscle cells. Atherosclerosis. 257. 64–70. 14 indexed citations
9.
Pedersen, T., Nanna Junker, Christina Christoffersen, et al.. (2013). Osteopontin deficiency dampens the pro-atherogenic effect of uraemia. Cardiovascular Research. 98(3). 352–359. 15 indexed citations
10.
Pedersen, T., Christoph J. Binder, Gunilla Nordin Fredrikson, et al.. (2010). The pro-inflammatory effect of uraemia overrules the anti-atherogenic potential of immunization with oxidized LDL in apoE−/− mice. Nephrology Dialysis Transplantation. 25(8). 2486–2491. 6 indexed citations
11.
Pedersen, T., Sally P.A. McCormick, Sotirios Tsimikas, Susanne Bro, & Lars B. Nielsen. (2010). Lipoprotein(a) accelerates atherosclerosis in uremic mice. Journal of Lipid Research. 51(10). 2967–2975. 18 indexed citations
12.
Krzystanek, Marcin, et al.. (2010). Expression of Apolipoprotein B in the Kidney Attenuates Renal Lipid Accumulation. Journal of Biological Chemistry. 285(14). 10583–10590. 37 indexed citations
13.
Pedersen, T., Susanne Bro, Mikko I. Mäyränpää, et al.. (2009). ACE inhibition attenuates uremia-induced aortic valve thickening in a novel mouse model. BMC Cardiovascular Disorders. 9(1). 10–10. 24 indexed citations
14.
Pedersen, T., Susanne Bro, Mikkel Holmen Andersen, et al.. (2008). Effect of treatment with human apolipoprotein A-I on atherosclerosis in uremic apolipoprotein-E deficient mice. Atherosclerosis. 202(2). 372–381. 20 indexed citations
15.
Bro, Susanne, et al.. (2007). Effect of uremia on HDL composition, vascular inflammation, and atherosclerosis in wild-type mice. American Journal of Physiology-Renal Physiology. 293(4). F1325–F1331. 12 indexed citations
16.
Porter, Sarah, Paul N. Span, Fred C.G.J. Sweep, et al.. (2005). ADAMTS8 and ADAMTS15 expression predicts survival in human breast carcinoma. International Journal of Cancer. 118(5). 1241–1247. 74 indexed citations
17.
Pedersen, T., Caroline J. Pennington, Kasper Almholt, et al.. (2005). Extracellular protease mRNAs are predominantly expressed in the stromal areas of microdissected mouse breast carcinomas. Carcinogenesis. 26(7). 1233–1240. 37 indexed citations
18.
Pedersen, T., Vyomesh Patel, David Mitola, et al.. (2003). Laser capture microdissection-based in vivo genomic profiling of wound keratinocytes identifies similarities and differences to squamous cell carcinoma. Oncogene. 22(25). 3964–3976. 66 indexed citations
19.
Wade, Alan, Ulla Lepola, Hannu Koponen, V. Pedersen, & T. Pedersen. (1997). The effect of Citalopram in panic disorder. The British Journal of Psychiatry. 170(6). 549–553. 110 indexed citations
20.
Kronbörg, O, T. Pedersen, F. Stadil, & J. F. Rehfeld. (1974). The Effect of Beta-Adrenergic Blockade upon Gastric Acid Secretion and Gastrin Secretion during Hypoglycaemia before and after Vagotomy. Scandinavian Journal of Gastroenterology. 9(2). 173–176. 33 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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