W. Marx

1.1k citations
44 papers · 408 · h-index 12

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 7
    • Polyamine Metabolism and Applications 4
    • Genomics, phytochemicals, and oxidative stress 4
    • Fibroblast Growth Factor Research 3
    • Proteoglycans and glycosaminoglycans research 8

W. Marx

43 papers receiving 376 citations

Peers

W. Marx
Comparison fields: 5 of 74
  • Cell Biology 101
  • Biochemistry 34
  • Neurology 45
  • Molecular Biology 198
  • Endocrinology, Diabetes and Metabolism 42
Replace Ingeborg A. Brand with:
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Citations per field
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Citations per year

Countries citing papers authored by W. Marx

Since Specialization
Citations

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

Fields of papers citing papers by W. Marx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside W. Marx, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with W. Marx Line = papers co-authored together W. Marx links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Endovascular treatment of experimental aneurysms by use of biologically modified embolic devices: coil-mediated intraaneurysmal delivery of fibroblast tissue allografts.
200153
2 196734
3 195932
4 196031
5 197224
6 195522
7 196820
8 195319
9 195414
10 196713
11 197212
12 196011
13 196711
14 195210
15 19577
16 19557
17 19526
18 19686
19 19706
20 19576

About W. Marx

W. Marx is a scholar working on Molecular Biology, Cell Biology, Surgery, Organic Chemistry and Endocrinology, Diabetes and Metabolism, having authored 44 papers that have together received 408 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (8 papers), Glycosylation and Glycoproteins Research (7 papers), Cholesterol and Lipid Metabolism (5 papers), Mast cells and histamine (4 papers), Polyamine Metabolism and Applications (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Fibroblast Growth Factor Research (3 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Cell Biology (101 citations), Biochemistry (34 citations), Neurology (45 citations), Molecular Biology (198 citations) and Endocrinology, Diabetes and Metabolism (42 citations). W. Marx has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Leonard Spolter, M. Shoyab, A.S. Balasubramanian, Samuel B. Weiss, Elsie Wainfan, Huy M., John G. Short, Harry J. Cloft, Mary E. Jensen and Gregory A. Helm. Their work appears in journals such as Archives of Biochemistry and Biophysics, Experimental Biology and Medicine, Journal of Biological Chemistry, American Journal of Physiology-Legacy Content and Endocrinology.

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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