Tormod Bjånes

32 total papers · 633 total citations
20 papers, 478 citations indexed

About

Tormod Bjånes is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Oncology. According to data from OpenAlex, Tormod Bjånes has authored 20 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pediatrics, Perinatology and Child Health and 4 papers in Oncology. Recurrent topics in Tormod Bjånes's work include Pancreatic and Hepatic Oncology Research (3 papers), Biosimilars and Bioanalytical Methods (2 papers) and Pharmaceutical Economics and Policy (2 papers). Tormod Bjånes is often cited by papers focused on Pancreatic and Hepatic Oncology Research (3 papers), Biosimilars and Bioanalytical Methods (2 papers) and Pharmaceutical Economics and Policy (2 papers). Tormod Bjånes collaborates with scholars based in Norway, Denmark and South Africa. Tormod Bjånes's co-authors include Jan Schjøtt, Spiros Kotopoulis, Emmet McCormack, Odd Helge Gilja, Georg Dimcevski, Bjørn Tore Gjertsen, Anders Molven, Halfdan Sørbye, Dag Hoem and Martin Biermann and has published in prestigious journals such as Journal of Controlled Release, Analytica Chimica Acta and Journal of Pharmaceutical Sciences.

In The Last Decade

Tormod Bjånes

18 papers receiving 469 citations

Hit Papers

A human clinical trial us... 2016 2026 2019 2022 2016 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tormod Bjånes 348 132 82 78 72 20 478
Weixi Jiang 249 0.7× 99 0.8× 39 0.5× 38 0.5× 137 1.9× 22 552
Diêgo S. Ferreira 133 0.4× 63 0.5× 84 1.0× 83 1.1× 175 2.4× 23 517
Yang-Gun Suh 141 0.4× 121 0.9× 31 0.4× 49 0.6× 71 1.0× 16 414
Taicheng Lu 118 0.3× 68 0.5× 80 1.0× 37 0.5× 135 1.9× 28 458
Richard Sensenig 151 0.4× 42 0.3× 48 0.6× 55 0.7× 80 1.1× 20 462
Xiuliang Zhu 137 0.4× 40 0.3× 112 1.4× 47 0.6× 65 0.9× 32 441
Guangbin He 190 0.5× 61 0.5× 107 1.3× 31 0.4× 48 0.7× 32 543
Haiping Wang 184 0.5× 74 0.6× 51 0.6× 104 1.3× 85 1.2× 32 512
Mauricio Ramírez 189 0.5× 83 0.6× 19 0.2× 40 0.5× 181 2.5× 19 538
Yilin Yang 253 0.7× 100 0.8× 117 1.4× 13 0.2× 48 0.7× 19 515

Countries citing papers authored by Tormod Bjånes

Since Specialization
Citations

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

Fields of papers citing papers by Tormod Bjånes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tormod Bjånes

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

All Works

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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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