Thomas Secher

705 total citations
25 papers, 585 citations indexed

About

Thomas Secher is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Thomas Secher has authored 25 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Surgery. Recurrent topics in Thomas Secher's work include Diabetes Treatment and Management (9 papers), Pancreatic function and diabetes (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Thomas Secher is often cited by papers focused on Diabetes Treatment and Management (9 papers), Pancreatic function and diabetes (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Thomas Secher collaborates with scholars based in Denmark, United States and Japan. Thomas Secher's co-authors include Elisabeth Bock, Birte Glenthøj, Vladimir Berezin, Jacob Jelsing, Boris Klementiev, Niels Vrang, Thomas Klein, Christoph Reichetzeder, Oleg Tsuprykov and Yuliya Sharkovska and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and Scientific Reports.

In The Last Decade

Thomas Secher

24 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Secher Denmark 15 202 198 191 130 86 25 585
Nathalie Coutry France 17 54 0.3× 389 2.0× 264 1.4× 92 0.7× 26 0.3× 22 755
Prasad Konkalmatt United States 17 174 0.9× 399 2.0× 70 0.4× 70 0.5× 53 0.6× 34 776
Qiusheng Tong United States 15 200 1.0× 1.1k 5.5× 177 0.9× 109 0.8× 26 0.3× 17 1.3k
Tianshu Gao China 12 64 0.3× 268 1.4× 193 1.0× 21 0.2× 22 0.3× 43 647
Carolina Añazco Chile 10 115 0.6× 230 1.2× 36 0.2× 20 0.2× 14 0.2× 20 452
François Wuarin Switzerland 11 259 1.3× 520 2.6× 97 0.5× 75 0.6× 85 1.0× 11 716
Katsuki Tsuritani Japan 9 80 0.4× 136 0.7× 27 0.1× 18 0.1× 12 0.1× 19 474
Jonathan Neumann United States 9 70 0.3× 447 2.3× 50 0.3× 36 0.3× 14 0.2× 14 650
Deepa Joshi Canada 12 90 0.4× 161 0.8× 77 0.4× 22 0.2× 14 0.2× 23 437
Chun Shi Lin United States 8 81 0.4× 825 4.2× 59 0.3× 106 0.8× 6 0.1× 8 1.1k

Countries citing papers authored by Thomas Secher

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Secher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Secher

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Secher. A scholar is included among the top collaborators of Thomas Secher 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 Thomas Secher. Thomas Secher 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.
Christensen‐Dalsgaard, Mikkel, et al.. (2024). Shared and Distinct Renal Transcriptome Signatures in 3 Standard Mouse Models of Chronic Kidney Disease. ˜The œNephron journals/Nephron journals. 148(7). 487–502.
2.
Christensen, Michael, et al.. (2022). MO069: Therapeutic Effects of Semaglutide as Mono and Combination Treatment with Lisinopril in a Mouse Model of Hypertension-Accelerated Diabetic Kidney Disease. Nephrology Dialysis Transplantation. 37(Supplement_3). 1 indexed citations
3.
Dalbøge, Louise S., Michael Christensen, Thomas Secher, et al.. (2022). Nephroprotective Effects of Semaglutide as Mono- and Combination Treatment with Lisinopril in a Mouse Model of Hypertension-Accelerated Diabetic Kidney Disease. Biomedicines. 10(7). 1661–1661. 21 indexed citations
4.
Østergaard, Mette V., Jacob Lercke Skytte, Urmas Roostalu, et al.. (2020). Automated Image Analyses of Glomerular Hypertrophy in a Mouse Model of Diabetic Nephropathy. Kidney360. 1(6). 469–479. 16 indexed citations
5.
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
6.
Østergaard, Mette V., Thomas Secher, Urmas Roostalu, et al.. (2020). P0990RENINAAV DOSE-DEPENDENTLY EXACERBATE ALBUMINURIA AND GLOMERULOSCLEROSIS, AND REDUCE GFR IN FEMALE UNINEPHRECTOMIZED DB/DB MICE. Nephrology Dialysis Transplantation. 35(Supplement_3). 1 indexed citations
7.
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
8.
Fosgerau, Keld, Thomas Secher, Morten B. Thomsen, et al.. (2018). Novel "Dual Hit" Rat Model of Diabetic Cardiomyopathy. Diabetes. 67(Supplement_1). 1 indexed citations
9.
Wismann, Pernille, Pernille Barkholt, Thomas Secher, et al.. (2017). The endogenous preproglucagon system is not essential for gut growth homeostasis in mice. Molecular Metabolism. 6(7). 681–692. 32 indexed citations
10.
Mace, Maria L., Eva Gravesen, Anders Nordholm, et al.. (2017). Kidney fibroblast growth factor 23 does not contribute to elevation of its circulating levels in uremia. Kidney International. 92(1). 165–178. 39 indexed citations
11.
Dalbøge, Louise S., Søren L. Pedersen, Thomas Secher, et al.. (2015). Neuromedin U inhibits food intake partly by inhibiting gastric emptying. Peptides. 69. 56–65. 16 indexed citations
12.
Secher, Thomas, et al.. (2015). The anti-diabetic effects of GLP-1-gastrin dual agonist ZP3022 in ZDF rats. Peptides. 69. 47–55. 22 indexed citations
13.
Sharkovska, Yuliya, Christoph Reichetzeder, Markus Alter, et al.. (2014). Blood pressure and glucose independent renoprotective effects of dipeptidyl peptidase-4 inhibition in a mouse model of type-2 diabetic nephropathy. Journal of Hypertension. 32(11). 2211–2223. 88 indexed citations
14.
Kaalund, Sanne S., Brian V. Broberg, Katrine Fabricius, et al.. (2012). Differential expression of parvalbumin in neonatal phencyclidine‐treated rats and socially isolated rats. Journal of Neurochemistry. 124(4). 548–557. 35 indexed citations
15.
Owczarek, Sylwia, Jack Hou, Thomas Secher, & Lars V. Kristiansen. (2011). Phencyclidine treatment increases NR2A and NR2B N-methyl-D-aspartate receptor subunit expression in rats. Neuroreport. 22(17). 935–938. 10 indexed citations
16.
Secher, Thomas. (2009). Soluble NCAM. Advances in experimental medicine and biology. 663. 227–242. 16 indexed citations
17.
Secher, Thomas. (2008). Soluble NCAM. Neurochemical Research. 4 indexed citations
18.
Secher, Thomas, Vladimir Berezin, Elisabeth Bock, & Birte Glenthøj. (2008). Effect of an NCAM mimetic peptide FGL on impairment in spatial learning and memory after neonatal phencyclidine treatment in rats. Behavioural Brain Research. 199(2). 288–297. 28 indexed citations
19.
20.
Secher, Thomas, Camilla Lenz, Giuseppe Cazzamali, et al.. (2001). Molecular Cloning of a Functional Allatostatin Gut/Brain Receptor and an Allatostatin Preprohormone from the Silkworm Bombyx mori. Journal of Biological Chemistry. 276(50). 47052–47060. 74 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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