M. Westerman

858 total citations
22 papers, 693 citations indexed

About

M. Westerman is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, M. Westerman has authored 22 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 8 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in M. Westerman's work include Iron Metabolism and Disorders (9 papers), Hemoglobinopathies and Related Disorders (8 papers) and Erythropoietin and Anemia Treatment (6 papers). M. Westerman is often cited by papers focused on Iron Metabolism and Disorders (9 papers), Hemoglobinopathies and Related Disorders (8 papers) and Erythropoietin and Anemia Treatment (6 papers). M. Westerman collaborates with scholars based in United States, Australia and Italy. M. Westerman's co-authors include Leonard DiMichele, Elizabeta Nemeth, Tomas Ganz, Eric A. Lynn, Vincent P. Buonaccorsi, Russell D. Vetter, Carol A. Kimbrell, M. Cau, Susanna Barella and R. Galanello and has published in prestigious journals such as Critical Care, Marine Biology and Haematologica.

In The Last Decade

M. Westerman

22 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Westerman United States 14 362 296 135 118 114 22 693
Annabelle Monnier France 15 363 1.0× 275 0.9× 222 1.6× 88 0.7× 10 0.1× 24 1.3k
Pranvera Ikonomi United States 13 135 0.4× 128 0.4× 52 0.4× 89 0.8× 7 0.1× 15 811
Melissa Gardiner United States 13 144 0.4× 239 0.8× 10 0.1× 52 0.4× 11 0.1× 22 776
Joseph LoBue United States 16 177 0.5× 82 0.3× 34 0.3× 114 1.0× 23 0.2× 67 721
Marc Ohresser France 19 55 0.2× 119 0.4× 33 0.2× 141 1.2× 9 0.1× 32 1.0k
Nigel J. Lindsey United Kingdom 17 54 0.1× 17 0.1× 77 0.6× 84 0.7× 53 0.5× 36 885
Michael J. Imber United States 14 58 0.2× 44 0.1× 18 0.1× 100 0.8× 85 0.7× 41 672
Francesca Guerrini Italy 14 205 0.6× 121 0.4× 27 0.2× 86 0.7× 8 0.1× 31 537
A J Baker United Kingdom 14 39 0.1× 21 0.1× 24 0.2× 439 3.7× 68 0.6× 28 849
Chenguang Zheng China 18 198 0.5× 234 0.8× 8 0.1× 133 1.1× 27 0.2× 62 792

Countries citing papers authored by M. Westerman

Since Specialization
Citations

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

Fields of papers citing papers by M. Westerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Westerman

This figure shows the co-authorship network connecting the top 25 collaborators of M. Westerman. A scholar is included among the top collaborators of M. Westerman 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 M. Westerman. M. Westerman 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.
Groen, Kevin, Marjolein L. Donker, K.G. van der Hem, et al.. (2023). Treatment sequences and drug costs from diagnosis to death in multiple myeloma. European Journal Of Haematology. 112(3). 360–366. 1 indexed citations
2.
Li, Heng, Shuming Sun, Phillip Pham, et al.. (2015). Increased hepcidin in transferrin-treated thalassemic mice correlates with increased liver BMP2 expression and decreased hepatocyte ERK activation. Haematologica. 101(3). 297–308. 20 indexed citations
3.
Schmidt, Paul J., Haiyong Han, Thomas B. Bartnikas, et al.. (2014). A competitive enzyme-linked immunosorbent assay specific for murine hepcidin-1: correlation with hepatic mRNA expression in established and novel models of dysregulated iron homeostasis. Haematologica. 100(2). 167–177. 26 indexed citations
4.
Mast, Alan E., Karen S. Schlumpf, David J. Wright, et al.. (2013). Hepcidin level predicts hemoglobin concentration in individuals undergoing repeated phlebotomy. Haematologica. 98(8). 1324–1330. 21 indexed citations
5.
Haase‐Fielitz, Anja, Scott G. Westphal, Rinaldo Bellomo, et al.. (2013). Tubular damage biomarkers linked to inflammation or iron metabolism predict acute kidney injury. Critical Care. 17(S2). 1 indexed citations
6.
To‐Figueras, Jordi, Rafael A. Molina‐López, R. Deulofeu, et al.. (2012). Increased serum hepcidin levels in patients with porphyria cutanea tarda. Journal of the European Academy of Dermatology and Venereology. 27(1). e68–74. 15 indexed citations
7.
8.
Pasricha, Sant‐Rayn, Zoe McQuilten, M. Westerman, et al.. (2011). Serum hepcidin as a diagnostic test of iron deficiency in premenopausal female blood donors. Haematologica. 96(8). 1099–1105. 79 indexed citations
9.
Isakova, Tamara, et al.. (2011). Hepcidin and disordered mineral metabolism in chronic kidney disease. Clinical Nephrology. 76(8). 90–98. 33 indexed citations
10.
Glassford, Neil J., Glenn M. Eastwood, Helen Young, et al.. (2011). Renal biomarkers are less useful at predicting acute kidney injury in patients with sepsis than those without. Critical Care. 15(S3). 4 indexed citations
11.
Girelli, Domenico, P. Trombini, Fabiana Busti, et al.. (2010). A time course of hepcidin response to iron challenge in patients with HFE and TFR2 hemochromatosis. Haematologica. 96(4). 500–506. 63 indexed citations
12.
13.
Melis, Maria Antonietta, M. Cau, Rita Congiu, et al.. (2008). A mutation in the TMPRSS6 gene, encoding a transmembrane serine protease that suppresses hepcidin production, in familial iron deficiency anemia refractory to oral iron. Haematologica. 93(10). 1473–1479. 138 indexed citations
14.
15.
Hedrick, RP, et al.. (2006). Aquatic Francisella-like bacterium associated with mortality of intensively cultured hybrid striped bass Morone chrysops × M. saxatilis. Diseases of Aquatic Organisms. 72(2). 135–145. 66 indexed citations
16.
Westerman, M., Vincent P. Buonaccorsi, Luana Galver, et al.. (2005). Cloning and characterization of novel microsatellite DNA markers for the grass rockfish, Sebastes rastrelliger, and cross‐species amplification in 10 related Sebastes spp. Molecular Ecology Notes. 5(1). 74–76. 33 indexed citations
17.
Buonaccorsi, Vincent P., et al.. (2003). Molecular genetic structure suggests limited larval dispersal in grass rockfish, Sebastes rastrelliger. Marine Biology. -1(1). 1–1. 78 indexed citations
18.
DiMichele, Leonard & M. Westerman. (1997). Geographic variation in development rate between populations of the teleost Fundulus heteroclitus. Marine Biology. 128(1). 1–7. 49 indexed citations
19.
Mittman, Neal, et al.. (1986). Combination therapy with enalapril and hydrochlorothiazide: optimal dose, renin response, and prostaglandin excretion.. PubMed. 2(1). 30–8. 3 indexed citations
20.
Mittman, Neal, et al.. (1985). Safety and efficacy of guanabenz in hypertensive patients with moderate renal insufficiency.. PubMed. 1(4). 322–5. 1 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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