Denise Lepley

29 total papers · 772 total citations
18 papers, 650 citations indexed

About

Denise Lepley is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Denise Lepley has authored 18 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Denise Lepley's work include Ovarian cancer diagnosis and treatment (4 papers), Renal cell carcinoma treatment (3 papers) and Cancer Genomics and Diagnostics (3 papers). Denise Lepley is often cited by papers focused on Ovarian cancer diagnosis and treatment (4 papers), Renal cell carcinoma treatment (3 papers) and Cancer Genomics and Diagnostics (3 papers). Denise Lepley collaborates with scholars based in United States, Spain and Italy. Denise Lepley's co-authors include Jill C. Pelling, Diane F. Birt, Boyong Li, Timothy Hla, Fernando Ferrer, Jihye Paik, Kathy A. Suprenant, Jenny Devenport, Joel Kremer and Michael E. Weinblatt and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Denise Lepley

16 papers receiving 629 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Denise Lepley 412 119 109 98 79 18 650
Takejiro Kuzumaki 268 0.7× 87 0.7× 97 0.9× 49 0.5× 59 0.7× 17 566
Saiprasad Gowrikumar 329 0.8× 134 1.1× 72 0.7× 95 1.0× 27 0.3× 20 728
Jiachen Lin 327 0.8× 39 0.3× 109 1.0× 58 0.6× 26 0.3× 20 640
Linette Castillo‐Pichardo 464 1.1× 131 1.1× 139 1.3× 47 0.5× 92 1.2× 19 751
Meng‐Liang Lin 320 0.8× 83 0.7× 51 0.5× 61 0.6× 35 0.4× 27 618
Hiroyuki Sadano 440 1.1× 153 1.3× 159 1.5× 23 0.2× 50 0.6× 27 782
Zachary R. Healy 326 0.8× 54 0.5× 74 0.7× 61 0.6× 31 0.4× 17 564
Ming‐Ting Lee 339 0.8× 153 1.3× 41 0.4× 54 0.6× 72 0.9× 19 711
Meiko Hashimoto Maeda 275 0.7× 91 0.8× 42 0.4× 34 0.3× 27 0.3× 35 682
Gi‐Ok Kim 207 0.5× 52 0.4× 57 0.5× 39 0.4× 63 0.8× 32 634

Countries citing papers authored by Denise Lepley

Since Specialization
Citations

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

Fields of papers citing papers by Denise Lepley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denise Lepley

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

All Works

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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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