Therese Standal

2.5k total citations
47 papers, 1.7k citations indexed

About

Therese Standal is a scholar working on Oncology, Hematology and Molecular Biology. According to data from OpenAlex, Therese Standal has authored 47 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 25 papers in Hematology and 22 papers in Molecular Biology. Recurrent topics in Therese Standal's work include Multiple Myeloma Research and Treatments (22 papers), Bone health and treatments (15 papers) and Bone Metabolism and Diseases (10 papers). Therese Standal is often cited by papers focused on Multiple Myeloma Research and Treatments (22 papers), Bone health and treatments (15 papers) and Bone Metabolism and Diseases (10 papers). Therese Standal collaborates with scholars based in Norway, Sweden and Netherlands. Therese Standal's co-authors include Anders Sundan, Magne Børset, Anders Waage, Øyvind Hjertner, Carina Seidel, Niels Abildgaard, Berit Størdal, Marita Westhrin, Torben Plesner and Ralph D. Sanderson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Therese Standal

47 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Therese Standal Norway 22 846 702 598 284 257 47 1.7k
Marc Baud’huin France 26 1.2k 1.4× 706 1.0× 205 0.3× 201 0.7× 335 1.3× 50 2.1k
Marta Serafini Italy 23 675 0.8× 476 0.7× 298 0.5× 149 0.5× 315 1.2× 67 1.8k
David Roodman United States 13 1.0k 1.2× 1.4k 2.0× 430 0.7× 185 0.7× 202 0.8× 33 2.3k
Jean Chappel United States 24 1.4k 1.6× 742 1.1× 294 0.5× 406 1.4× 546 2.1× 35 2.3k
Orietta Spinelli Italy 20 575 0.7× 516 0.7× 855 1.4× 238 0.8× 349 1.4× 62 1.7k
Myrtle Y. Gordon United Kingdom 22 914 1.1× 494 0.7× 1.0k 1.7× 241 0.8× 511 2.0× 60 2.3k
Sabrina Bonomini Italy 23 893 1.1× 1.0k 1.5× 949 1.6× 79 0.3× 205 0.8× 49 2.0k
Hirokazu Nagai Japan 27 1.1k 1.3× 949 1.4× 390 0.7× 279 1.0× 388 1.5× 164 2.9k
Jianyu Weng China 19 836 1.0× 507 0.7× 406 0.7× 83 0.3× 519 2.0× 84 2.1k
Weiqi Lei United States 10 805 1.0× 429 0.6× 122 0.2× 193 0.7× 197 0.8× 11 1.6k

Countries citing papers authored by Therese Standal

Since Specialization
Citations

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

Fields of papers citing papers by Therese Standal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Therese Standal

This figure shows the co-authorship network connecting the top 25 collaborators of Therese Standal. A scholar is included among the top collaborators of Therese Standal 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 Therese Standal. Therese Standal 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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2.
Westhrin, Marita, Qianli Ma, Petra Mela, et al.. (2023). The effects of surface treatments on electron beam melted Ti-6Al-4V disks on osteogenesis of human mesenchymal stromal cells. Biomaterials Advances. 147. 213327–213327. 5 indexed citations
3.
Ma, Qianli, Kristaps Rubenis, Ólafur E. Sigurjónsson, et al.. (2023). Eggshell-derived amorphous calcium phosphate: Synthesis, characterization and bio-functions as bone graft materials in novel 3D osteoblastic spheroids model. SHILAP Revista de lepidopterología. 4. 522–537. 12 indexed citations
4.
5.
Mjelle, Robin, et al.. (2023). IL-32 is induced by activation of toll-like receptors in multiple myeloma cells. Frontiers in Immunology. 14. 1107844–1107844. 5 indexed citations
6.
Haukås, Einar, et al.. (2022). Paired miRNA- and messenger RNA-sequencing identifies novel miRNA-mRNA interactions in multiple myeloma. Scientific Reports. 12(1). 12147–12147. 14 indexed citations
7.
Ma, Qianli, Glenn Buene, Di Wan, et al.. (2021). Revealing the influence of electron beam melted Ti-6Al-4V scaffolds on osteogenesis of human bone marrow-derived mesenchymal stromal cells. Journal of Materials Science Materials in Medicine. 32(9). 97–97. 4 indexed citations
8.
Moen, Ingrid, Marita Westhrin, Markus Haug, et al.. (2021). Smac-mimetics reduce numbers and viability of human osteoclasts. Cell Death Discovery. 7(1). 36–36. 9 indexed citations
9.
Mjelle, Robin, Marita Westhrin, Muhammad Zahoor, et al.. (2021). Intracellular IL-32 regulates mitochondrial metabolism, proliferation, and differentiation of malignant plasma cells. iScience. 25(1). 103605–103605. 11 indexed citations
10.
Sponaas, Anne‐Marit, Anders Waage, Esten N. Vandsemb, et al.. (2021). Bystander Memory T Cells and IMiD/Checkpoint Therapy in Multiple Myeloma: A Dangerous Tango?. Frontiers in Immunology. 12. 636375–636375. 4 indexed citations
11.
Zhang, Zejian, Marita Westhrin, Albert Bondt, et al.. (2019). Serum protein N-glycosylation changes in multiple myeloma. Biochimica et Biophysica Acta (BBA) - General Subjects. 1863(5). 960–970. 34 indexed citations
12.
Westhrin, Marita, Siv Helen Moen, Ida Bruun Kristensen, et al.. (2018). Chemerin is elevated in multiple myeloma patients and is expressed by stromal cells and pre-adipocytes. Biomarker Research. 6(1). 21–21. 15 indexed citations
13.
Rustad, Even H., Eivind Coward, Emilie Ranheim Skytøen, et al.. (2017). Monitoring multiple myeloma by quantification of recurrent mutations in serum. Haematologica. 102(7). 1266–1272. 41 indexed citations
14.
Sponaas, Anne‐Marit, Siv Helen Moen, Nina‐Beate Liabakk, et al.. (2015). The proportion of CD16+CD14dim monocytes increases with tumor cell load in bone marrow of patients with multiple myeloma. Immunity Inflammation and Disease. 3(2). 94–102. 26 indexed citations
15.
Olsen, Oddrun Elise, Karin Fahl Wader, Kristine Misund, et al.. (2014). Bone morphogenetic protein-9 suppresses growth of myeloma cells by signaling through ALK2 but is inhibited by endoglin. Blood Cancer Journal. 4(3). e196–e196. 40 indexed citations
16.
Syversen, Silje Watterdal, Mari Hoff, Glenn Haugeberg, et al.. (2013). Dickkopf-1 Is Associated with Periarticular Bone Loss in Patients with Rheumatoid Arthritis*. BIBSYS Brage (BIBSYS (Norway)). 3(4). 216–220. 4 indexed citations
17.
Syversen, Silje Watterdal, Mari Hoff, Anders Sundan, et al.. (2010). Association between high plasma levels of hepatocyte growth factor and progression of radiographic damage in the joints of patients with rheumatoid arthritis. Arthritis & Rheumatism. 63(3). 662–669. 28 indexed citations
18.
Holien, Toril, Sofia Jönsson, Hanne Hella, et al.. (2010). CpG-Oligodeoxynucleotide Inhibits Smad-Dependent Bone Morphogenetic Protein Signaling: Effects on Myeloma Cell Apoptosis and In Vitro Osteoblastogenesis. The Journal of Immunology. 185(6). 3131–3139. 14 indexed citations
19.
Standal, Therese, Henrik Hjorth‐Hansen, Thomas Rasmussen, et al.. (2004). Osteopontin is an adhesive factor for myeloma cells and is found in increased levels in plasma from patients with multiple myeloma.. PubMed. 89(2). 174–82. 63 indexed citations
20.
Seidel, Carina, Stig Lenhoff, Therese Standal, et al.. (2002). Hepatocyte growth factor in myeloma patients treated with high‐dose chemotherapy. British Journal of Haematology. 119(3). 672–676. 45 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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