W. März

525 total citations
19 papers, 301 citations indexed

About

W. März is a scholar working on Cancer Research, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, W. März has authored 19 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 6 papers in Surgery and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in W. März's work include Cancer, Lipids, and Metabolism (7 papers), Lipoproteins and Cardiovascular Health (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). W. März is often cited by papers focused on Cancer, Lipids, and Metabolism (7 papers), Lipoproteins and Cardiovascular Health (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). W. März collaborates with scholars based in Germany, Austria and Netherlands. W. März's co-authors include Elisabeth Mahla, Gabriele Halwachs‐Baumann, H. Metzler, Peter Rehak, Wolfgang Toller, Thomas Lang�, Harald Mangge, Claire Mayer, M. Wilders‐Truschnig and R. Siekmeier and has published in prestigious journals such as European Heart Journal, Clinica Chimica Acta and Atherosclerosis.

In The Last Decade

W. März

18 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. März Germany 8 79 71 67 48 44 19 301
A Delhumeau France 10 36 0.5× 43 0.6× 114 1.7× 26 0.5× 19 0.4× 37 323
Dietrich Knoerzer Germany 5 159 2.0× 49 0.7× 39 0.6× 52 1.1× 10 0.2× 9 339
Nara Aline Costa Brazil 12 35 0.4× 31 0.4× 56 0.8× 9 0.2× 29 0.7× 46 470
Cody Braun United States 4 33 0.4× 74 1.0× 68 1.0× 42 0.9× 9 0.2× 4 383
Mariusz Piechota Poland 12 37 0.5× 139 2.0× 89 1.3× 29 0.6× 26 0.6× 42 456
Itır Yeğenağa Türkiye 8 96 1.2× 33 0.5× 78 1.2× 6 0.1× 25 0.6× 16 388
Alireza Moaref Iran 12 11 0.1× 179 2.5× 98 1.5× 18 0.4× 29 0.7× 62 412
Neriman Defne Altıntaş Türkiye 9 28 0.4× 22 0.3× 67 1.0× 27 0.6× 4 0.1× 40 295
Peter Nørkjær Laursen Denmark 8 25 0.3× 45 0.6× 66 1.0× 13 0.3× 249 5.7× 17 403
Anika Mueller Germany 8 145 1.8× 58 0.8× 26 0.4× 9 0.2× 7 0.2× 13 355

Countries citing papers authored by W. März

Since Specialization
Citations

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

Fields of papers citing papers by W. März

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. März

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

All Works

19 of 19 papers shown
1.
Herrmann, Markus, Martin H. Keppel, Sieglinde Zelzer, et al.. (2024). The role of functional vitamin D deficiency and low vitamin D reservoirs in relation to cardiovascular health and mortality. Clinica Chimica Acta. 558. 118230–118230. 1 indexed citations
2.
Pezoulas, Vasileios C., Antonis I. Sakellarios, W. März, et al.. (2022). Prediction of all-cause mortality in cardiovascular patients by using machine learning models. European Heart Journal. 43(Supplement_2).
3.
Murr, C., Tanja B. Grammer, Marcus E. Kleber, et al.. (2014). Low serum tryptophan predicts higher mortality in cardiovascular disease. Atherosclerosis. 235(2). e88–e88. 2 indexed citations
4.
Hartaigh, Bríain ó, Jos A. Bosch, Douglas Carroll, et al.. (2012). Evidence of a synergistic association between heart rate, inflammation, and cardiovascular mortality in patients undergoing coronary angiography. European Heart Journal. 34(12). 932–941. 42 indexed citations
5.
Pieper, Lars, Jörg Dirmaier, Jens Klotsche, et al.. (2010). Longitudinale Assoziationen zwischen depressiven Symptomen und Typ-2-Diabetes sowie deren Auswirkung auf die Mortalität von Hausarztpatienten. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 54(1). 98–107. 10 indexed citations
6.
Gruber, H.‐J., Christine Mayer, Andreas Meinitzer, et al.. (2008). Asymmetric Dimethylarginine (ADMA) is Tightly Correlated with Growth in Juveniles without Correlations to Obesity Related Disorders. Experimental and Clinical Endocrinology & Diabetes. 116(9). 520–524. 18 indexed citations
7.
Siekmeier, R., Hubert Scharnagl, Gerhard M. Kostner, et al.. (2008). Lipoprotein(a) - Structure, Epidemiology, Function and Diagnostics of a Cardiovascular Risk Marker. 1(1). 79–91. 8 indexed citations
8.
Wilders‐Truschnig, M., et al.. (2007). IgG Antibodies Against Food Antigens are Correlated with Inflammation and Intima Media Thickness in Obese Juveniles. Experimental and Clinical Endocrinology & Diabetes. 116(4). 241–245. 49 indexed citations
9.
Böhler, Steffen, Hubert Scharnagl, Tatjana Stojaković, et al.. (2006). Unmet needs in the diagnosis and treatment of dyslipidemia in the primary care setting in Germany. Atherosclerosis. 190(2). 397–407. 29 indexed citations
10.
Lang�, Thomas, Wolfgang Toller, Elisabeth Mahla, et al.. (2004). Different effects of abciximab and cytochalasin D on clot strength in thrombelastography. Journal of Thrombosis and Haemostasis. 2(1). 147–153. 102 indexed citations
11.
Siekmeier, R., et al.. (2000). Determination of pravastatin by high performance liquid chromatography. International Journal of Clinical Pharmacology and Therapeutics. 38(9). 419–425. 21 indexed citations
12.
Nauck, M., Hubert Scharnagl, W. Köster, et al.. (1997). 1.P.257 Mutations in the genes encoding the low-density lipoprotein receptor and apolipoprotein B in Southwest Germany. Atherosclerosis. 134(1-2). 70–71. 3 indexed citations
13.
14.
März, W., Hubert Scharnagl, C. Abletshauser, Heinrich Wieland, & Manfred W. Baumstark. (1997). 2.P.60 Effect of fluvastatin on small dense low density lipoproteins in postmenopausal women with an atherogenic lipoprotein phenotype. Atherosclerosis. 134(1-2). 129–129. 1 indexed citations
15.
März, W., et al.. (1996). The receptor-mediated endocytosis of lipoprotein (a).. PubMed. 34 Suppl 3. 131–8. 2 indexed citations
16.
Nauck, M., W. März, & H. Wieland. (1996). Adding albumin normalizes electrophoretic mobility of lipoproteins in sera with high concentrations of free fatty acids.. PubMed. 42(8 Pt 1). 1283–5. 5 indexed citations
17.
Nauck, Matthias, Annette Krämer‐Guth, Claus Luley, et al.. (1995). Enhanced receptor mediated uptake of apo E4Freiburg (28 Leu - > Pro) containing VLDL by human skin fibroblasts. Atherosclerosis. 115. S38–S38. 1 indexed citations
18.
Winkler, K., M. Nauck, R. Siekmeier, W. März, & H. Wieland. (1995). Determination of triglycerides in lipoproteins separated by agarose gel electrophoresis. Atherosclerosis. 115. S118–S118. 1 indexed citations
19.
Gross, E. G., et al.. (1994). Isolation of Lipoprotein (a) Using the Regenerate of a Dextran Sulfate Cellulose LDL Apheresis System. Protein Expression and Purification. 5(2). 112–117. 5 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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