A. Schjolberg

443 total citations
10 papers, 375 citations indexed

About

A. Schjolberg is a scholar working on Oncology, Cell Biology and Surgery. According to data from OpenAlex, A. Schjolberg has authored 10 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Cell Biology and 3 papers in Surgery. Recurrent topics in A. Schjolberg's work include Genetic factors in colorectal cancer (3 papers), Cancer Genomics and Diagnostics (3 papers) and Microtubule and mitosis dynamics (3 papers). A. Schjolberg is often cited by papers focused on Genetic factors in colorectal cancer (3 papers), Cancer Genomics and Diagnostics (3 papers) and Microtubule and mitosis dynamics (3 papers). A. Schjolberg collaborates with scholars based in Norway, Sweden and Denmark. A. Schjolberg's co-authors include O. P. F. Clausen, Paula M. De Angelis, Trond Stokke, Jo Røislien, Paula M. DeAngelis, Solveig Norheim Andersen, Katharina S. Sunnerhagen, GI Meling, TO Rognum and A. Bergan and has published in prestigious journals such as Journal of Hepatology, British Journal of Cancer and Carcinogenesis.

In The Last Decade

A. Schjolberg

10 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Schjolberg Norway 8 148 139 129 96 84 10 375
Kanade Katsura Japan 9 67 0.5× 102 0.7× 137 1.1× 78 0.8× 85 1.0× 22 310
Junyi Pang China 11 165 1.1× 44 0.3× 97 0.8× 46 0.5× 84 1.0× 37 353
Shradha S. Khurana United States 7 119 0.8× 22 0.2× 161 1.2× 211 2.2× 44 0.5× 8 415
Monika Pikiolek Switzerland 6 72 0.5× 25 0.2× 218 1.7× 154 1.6× 48 0.6× 6 453
Barbara Dessars Belgium 9 124 0.8× 47 0.3× 159 1.2× 14 0.1× 89 1.1× 14 328
Chaojie Wang United States 9 64 0.4× 26 0.2× 192 1.5× 51 0.5× 46 0.5× 14 325
Alessandro Gandelli Italy 4 208 1.4× 24 0.2× 123 1.0× 89 0.9× 50 0.6× 8 351
Nikhil Chari United States 7 157 1.1× 36 0.3× 397 3.1× 29 0.3× 52 0.6× 10 484
Marilyn McLeod Canada 6 57 0.4× 59 0.4× 238 1.8× 20 0.2× 22 0.3× 8 411
Åsa Franzén Sweden 6 118 0.8× 27 0.2× 241 1.9× 22 0.2× 38 0.5× 7 340

Countries citing papers authored by A. Schjolberg

Since Specialization
Citations

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

Fields of papers citing papers by A. Schjolberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Schjolberg

This figure shows the co-authorship network connecting the top 25 collaborators of A. Schjolberg. A scholar is included among the top collaborators of A. Schjolberg 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 A. Schjolberg. A. Schjolberg 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.
Schjolberg, A. & Katharina S. Sunnerhagen. (2011). Unlocking the locked in; a need for team approach in rehabilitation of survivors with locked-in syndrome. Acta Neurologica Scandinavica. 125(3). 192–198. 17 indexed citations
2.
Skotheim, Rolf I., et al.. (2010). Spindle proteins are differentially expressed in the various histological subtypes of testicular germ cell tumors. Journal of Carcinogenesis. 9(1). 1–1. 20 indexed citations
3.
DeAngelis, Paula M., et al.. (2008). Reduced level of the spindle checkpoint protein BUB1B is associated with aneuploidy in colorectal cancers. Cell Proliferation. 41(4). 645–659. 37 indexed citations
4.
DeAngelis, Paula M., et al.. (2007). Spindle proteins Aurora A and BUB1B, but not Mad2, are aberrantly expressed in dysplastic mucosa of patients with longstanding ulcerative colitis. Journal of Clinical Pathology. 60(12). 1403–1408. 39 indexed citations
5.
Boberg, Kirsten Muri, Annika Bergquist, Ulrika Broomé, et al.. (2000). Cholangiocarcinoma in primary sclerosing cholangitis: K-ras mutations and Tp53 dysfunction are implicated in the neoplastic development. Journal of Hepatology. 32(3). 374–380. 55 indexed citations
6.
Bergan, A., I P Gladhaug, A. Schjolberg, & O. P. F. Clausen. (2000). p53 accumulation confers prognostic information in resectable adenocarcinomas with ductal but not with intestinal differentiation in the pancreatic head.. International Journal of Oncology. 17(5). 921–6. 7 indexed citations
7.
Angelis, Paula M. De, O. P. F. Clausen, A. Schjolberg, & Trond Stokke. (1999). Chromosomal gains and losses in primary colorectal carcinomas detected by CGH and their associations with tumour DNA ploidy, genotypes and phenotypes. British Journal of Cancer. 80(3-4). 526–535. 132 indexed citations
8.
Andersen, Solveig Norheim, Jarle Breivik, T. Løvig, et al.. (1996). K-ras mutations and HLA-DR expression in large bowel adenomas. British Journal of Cancer. 74(1). 99–108. 35 indexed citations
9.
10.

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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