Virginia Ladeda

702 citations
12 papers · 584 indexed · h-index 11
Topics
Protease and Inhibitor Mechanisms (5 papers)Proteoglycans and glycosaminoglycans research (5 papers)Cell Adhesion Molecules Research (4 papers)

In The Last Decade

Virginia Ladeda

12 papers receiving 574 citations

Peers

Virginia Ladeda
Comparison fields: 5 of 77
  • Molecular Biology 345
  • Cell Biology 166
  • Oncology 163
  • Cancer Research 134
  • Immunology and Allergy 90
Replace Stefan Grotegut with:
Stefan Grotegut United States
Romina Dossi Italy
Jennie Hauser United States
Antònia Vinyals Spain
Angel Ciprés Spain
Shiro Kataoka Japan
Stéphanie Gout France
Elke Hiendlmeyer Germany
Junhye Kwon South Korea
Michelle Burrows United States
Virginia Ladeda relative to Stefan Grotegut United States Stefan Grotegut's profile →
Citations per field
00.5×1.5×
Stefan Grotegut · 1×
Citations per year

Countries citing papers authored by Virginia Ladeda

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Ladeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Ladeda

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1
Combined treatment with verapamil, a calcium channel blocker, and B428, a synthetic uPA inhibitor, impairs the metastatic ability of a murine mammary carcinoma.
7
2 49
3 16
4 11
5 22
6 181
7 52
8 47
9 20
10 89
11 43
12 47

About Virginia Ladeda

Virginia Ladeda is a scholar working on Immunology and Allergy, Cancer Research and Cell Biology, having authored 12 papers that have together received 584 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (5 papers), Proteoglycans and glycosaminoglycans research (5 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Immunology and Allergy (90 citations), Cell Biology (166 citations) and Cancer Research (134 citations). Virginia Ladeda has collaborated with scholars based in Argentina, Canada and United States. Frequent co-authors include Jorge Filmus, Elisa Bal de Kier Joffé, Yun‐Yan Xiang, Lydia Puricelli, Eduardo Farias, Alejandro J. Urtreger, Julio A. Aguirre Ghiso, Daniel F. Alonso, Mariano Loza‐Coll and Kirill V. Rosen. Their work appears in journals such as Oncogene, Biochemical and Biophysical Research Communications and International Journal of Cancer.

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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