Tone Ikdahl

2.1k total citations
29 papers, 1.1k citations indexed

About

Tone Ikdahl is a scholar working on Oncology, Surgery and Cancer Research. According to data from OpenAlex, Tone Ikdahl has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 9 papers in Surgery and 9 papers in Cancer Research. Recurrent topics in Tone Ikdahl's work include Pancreatic and Hepatic Oncology Research (8 papers), Colorectal Cancer Treatments and Studies (5 papers) and Cancer Genomics and Diagnostics (4 papers). Tone Ikdahl is often cited by papers focused on Pancreatic and Hepatic Oncology Research (8 papers), Colorectal Cancer Treatments and Studies (5 papers) and Cancer Genomics and Diagnostics (4 papers). Tone Ikdahl collaborates with scholars based in Norway, Denmark and Sweden. Tone Ikdahl's co-authors include Elin H. Kure, Tormod Kyrre Guren, Kjell M. Tveit, Julian Hamfjord, Ole Christian Lingjærde, Anne‐Lise Børresen‐Dale, Hongjuan Zhao, Ørnulf Borgan, Martina L. Skrede and Rolf Kåresen and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Tone Ikdahl

29 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tone Ikdahl Norway 17 549 528 489 165 128 29 1.1k
Gaku Kigawa Japan 21 794 1.4× 421 0.8× 276 0.6× 195 1.2× 190 1.5× 70 1.2k
Mary Matli United States 13 806 1.5× 431 0.8× 424 0.9× 160 1.0× 90 0.7× 20 1.3k
Anupma Nayak United States 20 416 0.8× 462 0.9× 379 0.8× 226 1.4× 137 1.1× 62 1.1k
Shunji Matsumura Japan 16 731 1.3× 423 0.8× 376 0.8× 212 1.3× 225 1.8× 18 1.2k
Keisuke Matsusaki Japan 20 566 1.0× 385 0.7× 259 0.5× 213 1.3× 245 1.9× 43 1.1k
Byung Woog Kang South Korea 19 468 0.9× 508 1.0× 347 0.7× 198 1.2× 170 1.3× 77 1.2k
Jeanie Wu Singapore 13 552 1.0× 218 0.4× 258 0.5× 149 0.9× 108 0.8× 14 904
Yutaka Sanada Japan 21 669 1.2× 413 0.8× 231 0.5× 205 1.2× 294 2.3× 88 1.2k
Marc Porzner Germany 10 645 1.2× 548 1.0× 213 0.4× 107 0.6× 77 0.6× 13 1.1k
M. Herman Chui United States 17 352 0.6× 307 0.6× 197 0.4× 143 0.9× 98 0.8× 50 964

Countries citing papers authored by Tone Ikdahl

Since Specialization
Citations

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

Fields of papers citing papers by Tone Ikdahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tone Ikdahl

This figure shows the co-authorship network connecting the top 25 collaborators of Tone Ikdahl. A scholar is included among the top collaborators of Tone Ikdahl 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 Tone Ikdahl. Tone Ikdahl 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.
Thorsen, Lene, Jon Håvard Loge, Cecilie E. Kiserud, et al.. (2017). Feasibility of a physical activity intervention during and shortly after chemotherapy for testicular cancer. BMC Research Notes. 10(1). 214–214. 10 indexed citations
2.
Sandhu, Vandana, David C. Wedge, Inger Marie Bowitz Lothe, et al.. (2016). The Genomic Landscape of Pancreatic and Periampullary Adenocarcinoma. Cancer Research. 76(17). 5092–5102. 27 indexed citations
3.
Kersten, Christian, Halfdan Sørbye, Eva Skovlund, et al.. (2016). Interleukin-6 and C-reactive protein as prognostic biomarkers in metastatic colorectal cancer. Oncotarget. 7(46). 75013–75022. 60 indexed citations
4.
Guren, Tormod Kyrre, Julian Hamfjord, Göran Carlsson, et al.. (2015). AGXT and ERCC2 polymorphisms are associated with clinical outcome in metastatic colorectal cancer patients treated with 5-FU/oxaliplatin. The Pharmacogenomics Journal. 16(3). 272–279. 18 indexed citations
5.
Tarpgaard, Line Schmidt, Tormod Kyrre Guren, Bengt Glimelius, et al.. (2014). Plasma YKL-40 in Patients with Metastatic Colorectal Cancer Treated with First Line Oxaliplatin-Based Regimen with or without Cetuximab: RESULTS from the NORDIC VII Study. PLoS ONE. 9(2). e87746–e87746. 17 indexed citations
6.
Lothe, Inger Marie Bowitz, Knut Jørgen Labori, Ole Christian Lingjærde, et al.. (2014). Molecular signatures of mRNAs and miRNAs as prognostic biomarkers in pancreatobiliary and intestinal types of periampullary adenocarcinomas. Molecular Oncology. 9(4). 758–771. 32 indexed citations
7.
Skovlund, Eva, Tone Ikdahl, Tormod Kyrre Guren, et al.. (2014). FCGR2A and FCGR3A polymorphisms and clinical outcome in metastatic colorectal cancer patients treated with first-line 5-fluorouracil/folinic acid and oxaliplatin +/- cetuximab. BMC Cancer. 14(1). 340–340. 30 indexed citations
8.
Ikdahl, Tone, Inger Marie Bowitz Lothe, Morten Wang Fagerland, et al.. (2013). Improved survival and quality of life in patients undergoing R1 pancreatic resection compared to patients with locally advanced unresectable pancreatic adenocarcinoma. Pancreatology. 13(2). 180–185. 11 indexed citations
9.
Ikdahl, Tone, Inger Marie Bowitz Lothe, Truls Hauge, et al.. (2013). Opportunities of improvement in the management of pancreatic and periampullary tumors. Scandinavian Journal of Gastroenterology. 48(5). 617–625. 5 indexed citations
10.
Hugenschmidt, Harald, et al.. (2013). Follow-up after curative surgery for pancreatic ductal adenocarcinoma: Asymptomatic recurrence is associated with improved survival. European Journal of Surgical Oncology. 39(6). 559–566. 39 indexed citations
11.
Lindh, Maja Bradic, Artur Mezheyeuski, Bengt Glimelius, et al.. (2013). Tumor perivascular PDGFBR as an independent prognostic factor in metastatic colorectal cancer.. Journal of Clinical Oncology. 31(15_suppl). 3571–3571. 1 indexed citations
12.
14.
Hamfjord, Julian, Timothy Hughes, Martina L. Skrede, et al.. (2012). Differential Expression of miRNAs in Colorectal Cancer: Comparison of Paired Tumor Tissue and Adjacent Normal Mucosa Using High-Throughput Sequencing. PLoS ONE. 7(4). e34150–e34150. 132 indexed citations
15.
Hamfjord, Julian, et al.. (2011). Wobble-enhanced ARMS Method for Detection of KRAS and BRAF Mutations. Diagnostic Molecular Pathology. 20(3). 158–165. 16 indexed citations
16.
Bornholdt, Jette, Stine Friis, Sine Godiksen, et al.. (2011). The level of claudin-7 is reduced as an early event in colorectal carcinogenesis. BMC Cancer. 11(1). 65–65. 45 indexed citations
18.
Buanes, Trond, et al.. (2008). Immunotherapy of patients with pancreatic adenocarcinoma: Influence of adjuvants. Journal of Clinical Oncology. 26(15_suppl). 15542–15542. 2 indexed citations
19.
Vogel, Lotte K., Rikke Lewinsky, Mona Sæbø, et al.. (2007). Expression of NDRG2 is down-regulated in high-risk adenomas and colorectal carcinoma. BMC Cancer. 7(1). 192–192. 65 indexed citations
20.
Langerød, Anita, Hongjuan Zhao, Ørnulf Borgan, et al.. (2007). TP53mutation status and gene expression profiles are powerful prognostic markers of breast cancer. Breast Cancer Research. 9(3). R30–R30. 215 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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