Diana E. Lamendola

829 total citations
8 papers, 707 citations indexed

About

Diana E. Lamendola is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Diana E. Lamendola has authored 8 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Oncology and 1 paper in Cell Biology. Recurrent topics in Diana E. Lamendola's work include Drug Transport and Resistance Mechanisms (3 papers), Glycosylation and Glycoproteins Research (2 papers) and RNA modifications and cancer (2 papers). Diana E. Lamendola is often cited by papers focused on Drug Transport and Resistance Mechanisms (3 papers), Glycosylation and Glycoproteins Research (2 papers) and RNA modifications and cancer (2 papers). Diana E. Lamendola collaborates with scholars based in United States. Diana E. Lamendola's 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 and has published in prestigious journals such as Cytokine, Drug Resistance Updates and Cancer Chemotherapy and Pharmacology.

In The Last Decade

Diana E. Lamendola

8 papers receiving 694 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Diana E. Lamendola United States	7	443	302	138	123	81	8	707
Angelina I. Londoño-Joshi United States	10	658 1.5×	267 0.9×	200 1.4×	150 1.2×	55 0.7×	13	901
Ainura Kyshtoobayeva United States	13	441 1.0×	420 1.4×	192 1.4×	43 0.3×	51 0.6×	18	859
Gennaro Colella Italy	16	800 1.8×	439 1.5×	154 1.1×	107 0.9×	70 0.9×	29	1.1k
Benoît Thibault France	12	409 0.9×	312 1.0×	185 1.3×	160 1.3×	61 0.8×	21	797
Maree Bilandzic Australia	17	391 0.9×	351 1.2×	157 1.1×	154 1.3×	111 1.4×	29	884
Junko Kano Japan	19	527 1.2×	163 0.5×	201 1.5×	103 0.8×	60 0.7×	46	920
Rick Lesniewski United States	8	395 0.9×	261 0.9×	151 1.1×	67 0.5×	129 1.6×	10	649
Shane W. O’Brien United States	12	401 0.9×	188 0.6×	88 0.6×	71 0.6×	88 1.1×	14	602
Abhijit Aithal United States	12	428 1.0×	372 1.2×	163 1.2×	218 1.8×	47 0.6×	23	809
Vered Givant-Horwitz Norway	11	360 0.8×	197 0.7×	168 1.2×	89 0.7×	91 1.1×	12	639

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

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8 of 8 papers shown

1.

Duan, Zhenfeng, Diana E. Lamendola, Yifei Duan, Rushdia Z. Yusuf, & Michael V. Seiden. (2004). Description of paclitaxel resistance-associated genes in ovarian and breast cancer cell lines. Cancer Chemotherapy and Pharmacology. 55(3). 277–285. 69 indexed citations

2.

Yusuf, Rukh, et al.. (2003). Paclitaxel Resistance: Molecular Mechanisms and Pharmacologic Manipulation. Current Cancer Drug Targets. 3(1). 1–19. 293 indexed citations

3.

Duan, Zhenfeng, Yifei Duan, Diana E. Lamendola, et al.. (2003). Overexpression of MAGE/GAGE genes in paclitaxel/doxorubicin-resistant human cancer cell lines.. PubMed. 9(7). 2778–85. 120 indexed citations

4.

Lamendola, Diana E., Zhenfeng Duan, Richard T. Penson, Esther Natalie Olíva, & Michael V. Seiden. (2003). beta tubulin mutations are rare in human ovarian carcinoma.. PubMed. 23(1B). 681–6. 21 indexed citations

5.

Lamendola, Diana E., Zhenfeng Duan, Rushdia Z. Yusuf, & Michael V. Seiden. (2003). Molecular description of evolving paclitaxel resistance in the SKOV-3 human ovarian carcinoma cell line.. PubMed. 63(9). 2200–5. 65 indexed citations

6.

Duan, Zhenfeng, et al.. (2002). OVEREXPRESSION OF IL-6 BUT NOT IL-8 INCREASES PACLITAXEL RESISTANCE OF U-2OS HUMAN OSTEOSARCOMA CELLS. Cytokine. 17(5). 234–242. 63 indexed citations

7.

Duan, Zhenfeng, Diana E. Lamendola, Rukh Yusuf, et al.. (2002). Overexpression of human phosphoglycerate kinase 1 (PGK1) induces a multidrug resistance phenotype.. PubMed. 22(4). 1933–41. 72 indexed citations

8.

Duan, Zhenfeng, Diana E. Lamendola, & Michael V. Seiden. (2000). cDNA Technologies and their application to drug resistance research: power, potential and problems. Drug Resistance Updates. 3(5). 277–282. 4 indexed citations

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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