Elizabeth Navarro

1.0k total citations
14 papers, 789 citations indexed

About

Elizabeth Navarro is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Elizabeth Navarro has authored 14 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Oncology. Recurrent topics in Elizabeth Navarro's work include Proteoglycans and glycosaminoglycans research (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Fibroblast Growth Factor Research (4 papers). Elizabeth Navarro is often cited by papers focused on Proteoglycans and glycosaminoglycans research (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Fibroblast Growth Factor Research (4 papers). Elizabeth Navarro collaborates with scholars based in United States. Elizabeth Navarro's co-authors include Paul Kussie, Hua‐Quan Miao, Dale L. Ludwig, Sheetal Patel, Zhenping Zhu, Peter Böhlen, Hu Liu, Nicholas A. Giorgio, Andrew P. Seddon and Paul Balderes and has published in prestigious journals such as Blood, Cancer Research and Clinical Cancer Research.

In The Last Decade

Elizabeth Navarro

14 papers receiving 767 citations

Peers

Elizabeth Navarro
Comparison fields: 5 of 77
  • Molecular Biology 597
  • Cell Biology 460
  • Oncology 180
  • Organic Chemistry 137
  • Cancer Research 118
Replace Edina Komlódi-Pásztor with:
Edina Komlódi-Pásztor United States
M Bar-Ner United States
Benjamin Caleb United States
Annette Bistrup United States
Nancy Wainman Canada
Thanh‐Trang Vo United States
Jin-Ping Lai United States
Clara Albanese Italy
Patrizia Carpinelli Italy
Evgeny Edovitsky Israel
Edina Komlódi-Pásztor United States View profile →
Citations per field, relative to Elizabeth Navarro
Elizabeth Navarro · 1×
Citations per year, relative to Elizabeth Navarro
Elizabeth Navarro · 1×

Countries citing papers authored by Elizabeth Navarro

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Navarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Navarro

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 1
2 4
3 1
4 8
5 44
6 88
7 79
8 120
9 39
10 53
11
High heparanase activity in multiple myeloma is associated with elevated microvessel density.
146
12 35
13 170
14
[Biochemical studies of the behavior of 5 isoenzymes of lactate dehydrogenase in normal and pathological leukocytes].
1

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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