Walter E. Laug

71 papers receiving 3.6k citations

Peers

Walter E. Laug
Comparison fields: 5 of 80
  • Cancer Research 634
  • Immunology and Allergy 214
  • Genetics 199
  • Radiology, Nuclear Medicine and Imaging 435
  • Neurology 266
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Citations per year

Countries citing papers authored by Walter E. Laug

Since Specialization
Citations

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

Fields of papers citing papers by Walter E. Laug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walter E. Laug. 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 Walter E. Laug. The network helps show where Walter E. Laug may publish in the future.

Co-authors

The 25 scholars most cited alongside Walter E. Laug, 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 Walter E. Laug Line = papers co-authored together Walter E. Laug links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pegylated Arg-Gly-Asp peptide: 64Cu labeling and PET imaging of brain tumor alphavbeta3-integrin expression.
2004234
2 2001213
3
Morphology, growth, chromosomal pattern and fibrinolytic activity of two new human neuroblastoma cell lines.
1977209
4 2004180
5 2002168
6 1978154
7
Plasminogen activator inhibitor-1 promotes angiogenesis by stimulating endothelial cell migration toward fibronectin.
2001154
8
Matrix metalloproteinases-2 and -9 are expressed in human neuroblastoma: contribution of stromal cells to their production and correlation with metastasis.
1998140
9 2004140
10 2008134
11 1975121
12 1995113
13 2006113
14 1997106
15 1983103
16 200389
17 199684
18 197581
19
In vitro correlates of transformation in C3H/10T1/2 clone 8 mouse cells.
197675
20 200375

About Walter E. Laug

Walter E. Laug is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging, Hematology, Immunology and Allergy and Neurology, having authored 73 papers that have together received 3.9k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (24 papers), Angiogenesis and VEGF in Cancer (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Optical Imaging and Spectroscopy Techniques (3 papers), Cell Adhesion Molecules Research (3 papers), Neuroblastoma Research and Treatments (3 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (634 citations), Immunology and Allergy (214 citations), Genetics (199 citations), Radiology, Nuclear Medicine and Imaging (435 citations) and Neurology (266 citations). Walter E. Laug has collaborated with scholars based in United States, Ireland and Belgium. Frequent co-authors include Yves Albert DeClerck, Hiroyuki Shimada, William F. Benedict, Vazgen Khankaldyyan, Peter A. Jones, Ignacio Gonzales-Gomez, Robert C. Seeger, Xiaoyuan Shawn Chen, Ryan Jin-hyung Park and Michel S. Tohme. Their work appears in journals such as Thrombosis and Haemostasis, Neurosurgery, JNCI Journal of the National Cancer Institute, Pediatric Research and Journal of Surgical Research.

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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