Ruth H. Paulssen

1.8k total citations
52 papers, 1.3k citations indexed

About

Ruth H. Paulssen is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ruth H. Paulssen has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 17 papers in Genetics and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ruth H. Paulssen's work include Inflammatory Bowel Disease (10 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Protein Kinase Regulation and GTPase Signaling (7 papers). Ruth H. Paulssen is often cited by papers focused on Inflammatory Bowel Disease (10 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Protein Kinase Regulation and GTPase Signaling (7 papers). Ruth H. Paulssen collaborates with scholars based in Norway, United States and France. Ruth H. Paulssen's co-authors include Christopher G. Fenton, Vasilis Sitras, Ganesh Acharya, Åse Vårtun, Jan O. Gordeladze, Eyvind J. Paulssen, Kaare M. Gautvik, Jon Florholmen, Tove Aminda Hanssen and Elliott M. Ross and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Ruth H. Paulssen

52 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruth H. Paulssen Norway 20 570 316 269 234 229 52 1.3k
Norio Takamoto Japan 16 400 0.7× 298 0.9× 281 1.0× 73 0.3× 175 0.8× 24 1.1k
Tatsuro Furui Japan 23 986 1.7× 345 1.1× 172 0.6× 156 0.7× 118 0.5× 110 2.1k
Shoshana Savion Israel 21 735 1.3× 219 0.7× 542 2.0× 105 0.4× 155 0.7× 52 1.7k
H. Kurachi Japan 26 491 0.9× 404 1.3× 214 0.8× 126 0.5× 99 0.4× 56 1.7k
Akihisa Fujimoto Japan 20 502 0.9× 266 0.8× 122 0.5× 205 0.9× 168 0.7× 70 1.5k
Clyde Riley Australia 23 651 1.1× 363 1.1× 351 1.3× 250 1.1× 206 0.9× 36 1.8k
Nina‐Naomi Kreis Germany 25 718 1.3× 226 0.7× 156 0.6× 213 0.9× 129 0.6× 41 1.4k
Merja Bläuer Finland 23 489 0.9× 171 0.5× 162 0.6× 252 1.1× 52 0.2× 61 1.6k
Аndrey S. Glotov Russia 20 615 1.1× 170 0.5× 105 0.4× 302 1.3× 171 0.7× 131 1.2k
Alexander M. Tseng United States 15 579 1.0× 111 0.4× 94 0.3× 267 1.1× 134 0.6× 27 946

Countries citing papers authored by Ruth H. Paulssen

Since Specialization
Citations

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

Fields of papers citing papers by Ruth H. Paulssen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruth H. Paulssen. 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 Ruth H. Paulssen. The network helps show where Ruth H. Paulssen may publish in the future.

Co-authorship network of co-authors of Ruth H. Paulssen

This figure shows the co-authorship network connecting the top 25 collaborators of Ruth H. Paulssen. A scholar is included among the top collaborators of Ruth H. Paulssen 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 Ruth H. Paulssen. Ruth H. Paulssen 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
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Johnsen, Kay-Martin, et al.. (2023). Anti-apoptotic genes and non-coding RNAs are potential outcome predictors for ulcerative colitis. Functional & Integrative Genomics. 23(2). 165–165. 3 indexed citations
3.
Fenton, Christopher G., et al.. (2022). Novel long non-coding RNAs of relevance for ulcerative colitis pathogenesis. Non-coding RNA Research. 7(1). 40–47. 12 indexed citations
4.
Fenton, Christopher G., et al.. (2022). Identifying predictive signalling networks for Vedolizumab response in ulcerative colitis. International Journal of Colorectal Disease. 37(6). 1321–1333. 6 indexed citations
5.
Anderssen, Endre, et al.. (2021). Identifying anti-TNF response biomarkers in ulcerative colitis using a diffusion-based signalling model. Bioinformatics Advances. 1(1). vbab017–vbab017. 1 indexed citations
6.
Fenton, Christopher G., et al.. (2017). Changes in the human transcriptome upon vitamin D supplementation. The Journal of Steroid Biochemistry and Molecular Biology. 173. 93–99. 35 indexed citations
7.
Goll, Rasmus, et al.. (2016). The impact of partial hepatectomy on oxidative state in the liver remnant – An in vivo swine model. Redox Biology. 9. 15–21. 2 indexed citations
8.
Sørbye, Sveinung Wergeland, et al.. (2014). Prognostic value of the MicroRNA regulators Dicer and Drosha in non-small-cell lung cancer: co-expression of Drosha and miR-126 predicts poor survival. BMC Clinical Pathology. 14(1). 45–45. 22 indexed citations
9.
Sitras, Vasilis, Christopher G. Fenton, Ruth H. Paulssen, Åse Vårtun, & Ganesh Acharya. (2012). Differences in Gene Expression between First and Third Trimester Human Placenta: A Microarray Study. PLoS ONE. 7(3). e33294–e33294. 65 indexed citations
10.
Hellevik, Turid, Ingvild Pettersen, Vivian Berg, et al.. (2012). Cancer-associated fibroblasts from human NSCLC survive ablative doses of radiation but their invasive capacity is reduced. Radiation Oncology. 7(1). 59–59. 84 indexed citations
11.
Dumeaux, Vanessa, Anja Olsen, Grégory Nuel, et al.. (2010). Deciphering Normal Blood Gene Expression Variation—The NOWAC Postgenome Study. PLoS Genetics. 6(3). e1000873–e1000873. 51 indexed citations
12.
Fenton, Christopher G., et al.. (2009). New specific molecular targets for radio‐chemotherapy of rectal cancer. Molecular Oncology. 4(1). 52–64. 42 indexed citations
13.
Sitras, Vasilis, et al.. (2009). Placental Gene Expression Profile in Intrauterine Growth Restriction Due to Placental Insufficiency. Reproductive Sciences. 16(7). 701–711. 39 indexed citations
14.
Ørbo, Anne, et al.. (2008). Early effects of high concentrations of progesterone and Mifepristone A gene expression study of endometrial cancer cells (Ishikawa). The Journal of Steroid Biochemistry and Molecular Biology. 113(1-2). 139–149. 13 indexed citations
15.
Sitras, Vasilis, et al.. (2007). Gene expression profile in labouring and non-labouring human placenta near term. Molecular Human Reproduction. 14(1). 61–65. 27 indexed citations
16.
Brodin, Ellen, Birgit Svensson, Ruth H. Paulssen, Arne Nordøy, & John‐Bjarne Hansen. (2004). Intravascular release and urinary excretion of tissue factor pathway inhibitor during heparin treatment. Journal of Laboratory and Clinical Medicine. 144(5). 246–253. 8 indexed citations
17.
Paulssen, Ruth H., Eyvind J. Paulssen, & Kaare M. Gautvik. (2003). Electroporation of Rat Pituitary Cells. Humana Press eBooks. 48. 123–132. 1 indexed citations
18.
Paulssen, Ruth H., Eyvind J. Paulssen, Kaare M. Gautvik, & Jan O. Gordeladze. (1992). Modulation of G proteins and second messenger responsiveness by steroid hormones in GH3rat pituitary tumour cells. Acta Physiologica Scandinavica. 146(4). 511–518. 5 indexed citations
19.
Paulssen, Eyvind J., Ruth H. Paulssen, Trine B. Haugen, Kaare M. Gautvik, & Jan O. Gordeladze. (1991). Cell specific distribution of guanine nucleotide-binding regulatory proteins in rat pituitary tumour cell lines. Molecular and Cellular Endocrinology. 76(1-3). 45–53. 33 indexed citations
20.
Paulssen, Ruth H., Eyvind J. Paulssen, Peter Aleström, & Kaare M. Gautvik. (1990). Electroporation of rat pituitary (GH) cell lines: Optimal parameters and effects on endogenous hormone production. Biochemical and Biophysical Research Communications. 171(3). 1029–1036. 4 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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