Diana E. Lamendola

829 citations
8 papers · 707 indexed · h-index 7
Topics
Drug Transport and Resistance Mechanisms (3 papers)Glycosylation and Glycoproteins Research (2 papers)RNA modifications and cancer (2 papers)
Partner nations
United States

In The Last Decade

Diana E. Lamendola

8 papers receiving 694 citations

Peers

Diana E. Lamendola
Comparison fields: 5 of 75
  • Molecular Biology 443
  • Oncology 302
  • Cancer Research 138
  • Immunology 123
  • Cell Biology 81
Replace Gennaro Colella with:
Gennaro Colella Italy
Angelina I. Londoño-Joshi United States
Benoît Thibault France
Ainura Kyshtoobayeva United States
Simona Blotta United States
Maree Bilandzic Australia
Leslie Smetzer United States
Jinah Park South Korea
Ana Slipicevic Norway
Weining Ma United States
Diana E. Lamendola relative to Gennaro Colella Italy Gennaro Colella's profile →
Citations per field
00.5×1.5×
Gennaro Colella · 1×
Citations per year

Countries citing papers authored by Diana E. Lamendola

Since Specialization
Citations

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

Fields of papers citing papers by Diana E. Lamendola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana E. Lamendola

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 69
2 293
3
Overexpression of MAGE/GAGE genes in paclitaxel/doxorubicin-resistant human cancer cell lines.
120
4
beta tubulin mutations are rare in human ovarian carcinoma.
21
5
Molecular description of evolving paclitaxel resistance in the SKOV-3 human ovarian carcinoma cell line.
65
6 63
7
Overexpression of human phosphoglycerate kinase 1 (PGK1) induces a multidrug resistance phenotype.
72
8 4

About Diana E. Lamendola

Diana E. Lamendola is a scholar working on Oncology, Molecular Biology and Cancer Research, having authored 8 papers that have together received 707 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (3 papers), Glycosylation and Glycoproteins Research (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Oncology (302 citations), Cancer Research (138 citations) and Molecular Biology (443 citations). Diana E. Lamendola has collaborated with scholars based in United States. Frequent co-authors include Michael V. Seiden, Richard T. Penson, Zhenfeng Duan, Rukh Yusuf, Rushdia Z. Yusuf, Yifei Duan, Rizwan Naeem, Frederic I. Preffer and Esther Natalie Olíva. Their work appears in journals such as Cytokine, Drug Resistance Updates and Cancer Chemotherapy and Pharmacology.

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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