K. W. H. Wodzig

515 total citations
11 papers, 407 citations indexed

About

K. W. H. Wodzig is a scholar working on Molecular Biology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, K. W. H. Wodzig has authored 11 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Pathology and Forensic Medicine. Recurrent topics in K. W. H. Wodzig's work include Peroxisome Proliferator-Activated Receptors (2 papers), Muscle and Compartmental Disorders (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). K. W. H. Wodzig is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (2 papers), Muscle and Compartmental Disorders (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). K. W. H. Wodzig collaborates with scholars based in Netherlands, Switzerland and Japan. K. W. H. Wodzig's co-authors include Jan F. C. Glatz, Ger J. Vusse, Werner Roos, Wim Th. Hermens, Maurice M. A. L. Pelsers, Hans Kragten, Frans A. van Nieuwenhoven, Appie H. Kleine, Jos G. Maessen and Marja P. van Dieijen‐Visser and has published in prestigious journals such as Circulation, Fertility and Sterility and Clinica Chimica Acta.

In The Last Decade

K. W. H. Wodzig

10 papers receiving 395 citations

Peers

K. W. H. Wodzig

CCM

MB

RNMI

ID

SURGE

Yasuhiko Ohkaru Japan

Appie H. Kleine Netherlands

Ferande Peters South Africa

Giovanni Boffa Italy

Fotios Kardaras Greece

S Aguadé Spain

John C. Breckinridge United States

P Weiss Switzerland

Fatih Bayrak Türkiye

Pegah Khaloo Iran

Yasuhiko Ohkaru Japan

K. W. H. Wodzig

314 ×1.5

CCM

149 ×1.3

MB

117 ×1.1

RNMI

71 ×1.2

ID

88 ×1.9

SURGE

Citations per year, relative to K. W. H. Wodzig K. W. H. Wodzig (= 1×) peers Yasuhiko Ohkaru

Countries citing papers authored by K. W. H. Wodzig

Since Specialization

Citations

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

Fields of papers citing papers by K. W. H. Wodzig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. W. H. Wodzig

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

All Works

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11 of 11 papers shown

1.

Gubbels, Cynthia S., Simone M. Kuppens, Jaap Bakker, et al.. (2009). Pregnancy in classic galactosemia despite undetectable anti-Müllerian hormone. Fertility and Sterility. 91(4). 1293.e13–1293.e16. 26 indexed citations

2.

Dieijen‐Visser, Marja P. van, et al.. (2007). Application of SELDI-TOF-MS in protein profiling: state of the art. 32. 88–93. 1 indexed citations

3.

Wodzig, K. W. H., J. A. Kragten, J Górski, et al.. (1998). Thrombolytic therapy does not change the release ratios of enzymatic and non-enzymatic myocardial marker proteins. Clinica Chimica Acta. 272(2). 209–223. 9 indexed citations

4.

Wodzig, K. W. H., Johannes A. Kragten, Wim Th. Hermens, Jan F. C. Glatz, & Marja P. van Dieijen‐Visser. (1997). Estimation of Myocardial Infarct Size from Plasma Myoglobin or Fatty Acid-Binding Protein. Influence of Renal Function. Clinical Chemistry and Laboratory Medicine (CCLM). 35(3). 191–8. 37 indexed citations

5.

Wodzig, K. W. H., Maurice M. A. L. Pelsers, Ger J. Vusse, Werner Roos, & Jan F. C. Glatz. (1997). One-Step Enzyme-Linked Immunosorbent Assay (ELISA) for Plasma Fatty Acid-Binding Protein. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 34(3). 263–268. 99 indexed citations

6.

Roos, Werner, et al.. (1995). Monoclonal antibodies to human heart fatty acid-binding protein. Journal of Immunological Methods. 183(1). 149–153. 41 indexed citations

7.

Nieuwenhoven, Frans A. van, Appie H. Kleine, K. W. H. Wodzig, et al.. (1995). Discrimination Between Myocardial and Skeletal Muscle Injury by Assessment of the Plasma Ratio of Myoglobin Over Fatty Acid–Binding Protein. Circulation. 92(10). 2848–2854. 165 indexed citations

8.

Wodzig, K. W. H., Gerard D. Majoor, & Peter J.C. van Breda Vriesman. (1993). Susceptibility and Resistance to Cyclosporin A-Induced Autoimmunity in Rats. Autoimmunity. 16(1). 29–37. 13 indexed citations

9.

Wodzig, K. W. H., Gerard D. Majoor, & Peter J.C. van Breda Vriesman. (1993). Kinetics of inducer/effector cell generation in the thymus in cyclosporine-induced autoimmunity.. PubMed. 25(5). 2819–21. 5 indexed citations

10.

Wodzig, K. W. H., et al.. (1990). Autoantibodies in cyclosporine A-induced autoimmune disease.. PubMed. 22(6). 2586–7.

11.

Venrooij, Walther J. van, K. W. H. Wodzig, W J Habets, D. J. De Rooij, & L B van de Putte. (1989). Anti-56K: a novel, frequently occurring autoantibody specificity in connective tissue disease.. PubMed. 7(3). 277–82. 11 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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