Maj Petersen

1.1k total citations
16 papers, 909 citations indexed

About

Maj Petersen is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Maj Petersen has authored 16 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 6 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Maj Petersen's work include Hemophilia Treatment and Research (7 papers), Platelet Disorders and Treatments (6 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers). Maj Petersen is often cited by papers focused on Hemophilia Treatment and Research (7 papers), Platelet Disorders and Treatments (6 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers). Maj Petersen collaborates with scholars based in Denmark, Netherlands and Sweden. Maj Petersen's co-authors include Ulrich Valcourt, Guidalberto Manfioletti, Sylvie Thuault, Carl‐Henrik Heldin, Aristidis Moustakas, Peter ten Dijke, Gabri van der Pluijm, Geertje van der Horst, Hiu Wing Cheung and Christel van den Hoogen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and Oncogene.

In The Last Decade

Maj Petersen

16 papers receiving 900 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maj Petersen Denmark	8	641	351	204	94	78	16	909
Gongmin Zhu China	11	471 0.7×	206 0.6×	265 1.3×	133 1.4×	98 1.3×	16	765
Péter Tátrai Hungary	21	459 0.7×	214 0.6×	157 0.8×	106 1.1×	59 0.8×	37	956
Tamara Aleksic United Kingdom	15	454 0.7×	245 0.7×	219 1.1×	98 1.0×	50 0.6×	18	786
Beiyang Wei United States	13	522 0.8×	334 1.0×	519 2.5×	72 0.8×	37 0.5×	19	1.1k
Cristina López-Blau Spain	4	451 0.7×	186 0.5×	98 0.5×	122 1.3×	52 0.7×	5	766
Hisato Hara Japan	17	223 0.3×	349 1.0×	198 1.0×	87 0.9×	77 1.0×	60	875
Jin Hyung Heo South Korea	16	528 0.8×	111 0.3×	374 1.8×	56 0.6×	60 0.8×	38	860
Ida Katrine Lund Denmark	18	335 0.5×	264 0.8×	356 1.7×	90 1.0×	26 0.3×	43	839
Shanna A. Arnold United States	12	228 0.4×	334 1.0×	143 0.7×	96 1.0×	107 1.4×	18	773
Maozhen Tian United States	8	540 0.8×	364 1.0×	179 0.9×	80 0.9×	60 0.8×	8	760

Countries citing papers authored by Maj Petersen

Since Specialization

Citations

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

Fields of papers citing papers by Maj Petersen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maj Petersen

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

All Works

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16 of 16 papers shown

Petersen, Maj, et al.. (2024). Clinical bleeding diathesis, laboratory haemostatic aberrations and survival in dogs infected with Angiostrongylus vasorum: 180 cases (2005‐2019). Journal of Small Animal Practice. 65(4). 234–242. 1 indexed citations

Rakipovski, Günaj, Bidda Rolin, Natasha Barascuk, et al.. (2020). A neutralizing antibody against DKK1 does not reduce plaque formation in classical murine models of atherosclerosis: Is the therapeutic potential lost in translation?. Atherosclerosis. 314. 1–9. 1 indexed citations

Small, Juliana C., et al.. (2020). FVIII activity following FVIII protein infusion or FVIII gene transfer predicts the bleeding risk in hemophilia A rats. Journal of Thrombosis and Haemostasis. 18(7). 1586–1597. 2 indexed citations

Kjelgaard‐Hansen, Mads, et al.. (2020). In vivo fluorescence molecular tomography of induced haemarthrosis in haemophilic mice: link between bleeding characteristics and development of bone pathology. BMC Musculoskeletal Disorders. 21(1). 241–241. 3 indexed citations

Kjelgaard‐Hansen, Mads, et al.. (2020). Initial joint bleed volume in a delayed on‐demand treatment setup correlates with subsequent synovial changes in hemophilic mice. SHILAP Revista de lepidopterología. 3(2). 160–168. 1 indexed citations

Petersen, Maj, Prafull S. Gandhi, Jens Buchardt, et al.. (2020). Tissue Distribution and Receptor Activation by Somapacitan, a Long Acting Growth Hormone Derivative. International Journal of Molecular Sciences. 21(4). 1181–1181. 5 indexed citations

Coeleveld, K., Axel Kornerup Hansen, Lize F. D. van Vulpen, et al.. (2020). Proteoglycan synthesis rate as a novel method to measure blood‐induced cartilage degeneration in non‐haemophilic and haemophilic rats. Haemophilia. 26(3). e88–e96. 4 indexed citations

Kjelgaard‐Hansen, Mads, et al.. (2019). Bleed volume of experimental knee haemarthrosis correlates with the subsequent degree of haemophilic arthropathy. Haemophilia. 25(2). 324–333. 9 indexed citations

Rode, Frederik, Kasper Almholt, Maj Petersen, et al.. (2018). Preclinical pharmacokinetics and biodistribution of subcutaneously administered glycoPEGylated recombinant factor VIII (N8‐GP) and development of a human pharmacokinetic prediction model. Journal of Thrombosis and Haemostasis. 16(6). 1141–1152. 8 indexed citations

10.

Roepstorff, Kirstine, Maj Petersen, Bo Wiinberg, et al.. (2016). Visualization of haemophilic arthropathy in F8^−/− rats by ultrasonography and micro‐computed tomography. Haemophilia. 23(1). 152–162. 9 indexed citations

11.

Buijs, Jeroen T., Geertje van der Horst, Christel van den Hoogen, et al.. (2011). The BMP2/7 heterodimer inhibits the human breast cancer stem cell subpopulation and bone metastases formation. Oncogene. 31(17). 2164–2174. 99 indexed citations

12.

Buijs, Jeroen T., Maj Petersen, Geertje van der Horst, & Gabri van der Pluijm. (2010). Bone Morphogenetic Proteins and its Receptors; Therapeutic Targets in Cancer Progression and Bone Metastasis?. Current Pharmaceutical Design. 16(11). 1291–1300. 28 indexed citations

13.

Petersen, Maj, Evangelia Pardali, Geertje van der Horst, et al.. (2009). Smad2 and Smad3 have opposing roles in breast cancer bone metastasis by differentially affecting tumor angiogenesis. Oncogene. 29(9). 1351–1361. 155 indexed citations

14.

Petersen, Maj, Martine Deckers, Geertje van der Horst, Gabri van der Pluijm, & Evangelia Pardali. (2008). P33. Role of SMAD2 and SMAD3 in breast cancer metastasis to bone. Cancer Treatment Reviews. 34. 25–26. 2 indexed citations

15.

Petersen, Maj, Midory Thorikay, Martijn Deckers, et al.. (2007). Oral administration of GW788388, an inhibitor of TGF-β type I and II receptor kinases, decreases renal fibrosis. Kidney International. 73(6). 705–715. 177 indexed citations

16.

Thuault, Sylvie, Ulrich Valcourt, Maj Petersen, et al.. (2006). Transforming growth factor-β employs HMGA2 to elicit epithelial–mesenchymal transition. The Journal of Cell Biology. 174(2). 175–183. 405 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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