Gert-Jan Botma

474 total citations
10 papers, 398 citations indexed

About

Gert-Jan Botma is a scholar working on Surgery, Molecular Biology and Biochemistry. According to data from OpenAlex, Gert-Jan Botma has authored 10 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 5 papers in Molecular Biology and 4 papers in Biochemistry. Recurrent topics in Gert-Jan Botma's work include Pancreatic function and diabetes (6 papers), Lipid metabolism and biosynthesis (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). Gert-Jan Botma is often cited by papers focused on Pancreatic function and diabetes (6 papers), Lipid metabolism and biosynthesis (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). Gert-Jan Botma collaborates with scholars based in Netherlands, United Kingdom and United States. Gert-Jan Botma's co-authors include John J.P. Kastelein, Adrie J.M. Verhoeven, Hans Jansen, Jan Albert Kuivenhoven, Jolanda M.A. Boer, Jacob C. Seidell, Peter de Knijff, P. Haydn Pritchard, Paul W.A. Reymer and Martin H. Prins and has published in prestigious journals such as Circulation, Arteriosclerosis Thrombosis and Vascular Biology and Atherosclerosis.

In The Last Decade

Gert-Jan Botma

10 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gert-Jan Botma Netherlands 6 267 233 95 86 79 10 398
Sonja Ehnholm Finland 9 296 1.1× 277 1.2× 151 1.6× 165 1.9× 78 1.0× 12 508
Fu-You Jin United States 6 211 0.8× 198 0.8× 41 0.4× 93 1.1× 77 1.0× 7 346
JJP Kastelein Netherlands 9 279 1.0× 217 0.9× 146 1.5× 99 1.2× 64 0.8× 10 418
P.M. Cazita Brazil 12 233 0.9× 144 0.6× 51 0.5× 123 1.4× 72 0.9× 26 412
Juying Ji Australia 9 232 0.9× 285 1.2× 126 1.3× 93 1.1× 103 1.3× 11 420
Frank G. Perton Netherlands 13 265 1.0× 293 1.3× 81 0.9× 106 1.2× 77 1.0× 23 505
Norimichi Nakajima Japan 8 437 1.6× 349 1.5× 99 1.0× 104 1.2× 147 1.9× 9 565
Zainisha Vasanji Canada 6 270 1.0× 167 0.7× 147 1.5× 193 2.2× 52 0.7× 7 511
RE Gregg United States 6 174 0.7× 188 0.8× 72 0.8× 155 1.8× 82 1.0× 6 374
Maxime Nowak France 9 200 0.7× 174 0.7× 130 1.4× 236 2.7× 72 0.9× 15 470

Countries citing papers authored by Gert-Jan Botma

Since Specialization
Citations

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

Fields of papers citing papers by Gert-Jan Botma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gert-Jan Botma. 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 Gert-Jan Botma. The network helps show where Gert-Jan Botma may publish in the future.

Co-authorship network of co-authors of Gert-Jan Botma

This figure shows the co-authorship network connecting the top 25 collaborators of Gert-Jan Botma. A scholar is included among the top collaborators of Gert-Jan Botma 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 Gert-Jan Botma. Gert-Jan Botma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Botma, Gert-Jan, et al.. (2008). Down-regulation of hepatic lipase expression by elevation of cAMP in human hepatoma but not adrenocortical cells. Molecular and Cellular Endocrinology. 294(1-2). 37–44. 3 indexed citations
2.
Acker, B.A.C. van, Gert-Jan Botma, Aeilko H. Zwinderman, et al.. (2008). High HDL cholesterol does not protect against coronary artery disease when associated with combined cholesteryl ester transfer protein and hepatic lipase gene variants. Atherosclerosis. 200(1). 161–167. 46 indexed citations
4.
Botma, Gert-Jan, et al.. (2007). Cloning, expression, and promoter analysis of hepatic lipase derived from human hyperplastic adrenals. Cell Biochemistry and Biophysics. 47(1). 149–157. 2 indexed citations
5.
Botma, Gert-Jan, et al.. (2006). Transient induction of a variant hepatic lipase messenger RNA by corticotropic hormone in rat adrenals. Metabolism. 55(4). 467–477. 1 indexed citations
6.
Botma, Gert-Jan, et al.. (2004). Sterol-regulatory-element binding protein inhibits upstream stimulatory factor-stimulated hepatic lipase gene expression. Atherosclerosis. 179(1). 61–67. 21 indexed citations
7.
Botma, Gert-Jan, Adrie J.M. Verhoeven, & Hans Jansen. (2001). Hepatic lipase promoter activity is reduced by the C-480T and G-216A substitutions present in the common LIPC gene variant, and is increased by Upstream Stimulatory Factor. Atherosclerosis. 154(3). 625–632. 62 indexed citations
8.
Wittekoek, Marianne E., Simon N. Pimstone, Paul W.A. Reymer, et al.. (1998). A Common Mutation in the Lipoprotein Lipase Gene (N291S) Alters the Lipoprotein Phenotype and Risk for Cardiovascular Disease in Patients With Familial Hypercholesterolemia. Circulation. 97(8). 729–735. 72 indexed citations
9.
Verhoeven, Adrie J.M., Gert-Jan Botma, & Henning Jansen. (1997). 1.P.57 A hepatic lipase promoter polymorphism associated with a lowered hepatic lipase expression. Atherosclerosis. 134(1-2). 28–28. 1 indexed citations
10.
Kuivenhoven, Jan Albert, Peter de Knijff, Jolanda M.A. Boer, et al.. (1997). Heterogeneity at theCETPGene Locus. Arteriosclerosis Thrombosis and Vascular Biology. 17(3). 560–568. 182 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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