Frances E. Leland

1.9k total citations
12 papers, 1.6k citations indexed

About

Frances E. Leland is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Frances E. Leland has authored 12 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 5 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Frances E. Leland's work include Virus-based gene therapy research (5 papers), Animal Genetics and Reproduction (5 papers) and RNA Interference and Gene Delivery (4 papers). Frances E. Leland is often cited by papers focused on Virus-based gene therapy research (5 papers), Animal Genetics and Reproduction (5 papers) and RNA Interference and Gene Delivery (4 papers). Frances E. Leland collaborates with scholars based in United States, Canada and China. Frances E. Leland's co-authors include Savio L.C. Woo, Milton J. Finegold, Mark A. Kay, Gretchen Darlington, Katherine P. Ponder, Dwight A. Bellinger, Charles N. Landen, Arthur R. Thompson, Sanjeev Gupta and Jayanta Roy Chowdhury and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Chemical Physics.

In The Last Decade

Frances E. Leland

12 papers receiving 1.5k citations

Peers

Frances E. Leland
Comparison fields: 5 of 81
  • Molecular Biology 994
  • Genetics 924
  • Surgery 308
  • Hepatology 270
  • Oncology 215
Replace J J Toole with:
J J Toole United States
Salil D. Patel United States
Nancy A. Cochran United States
Andreas Klein Germany
A.P.M. Jongsma Netherlands
Terry Robins United States
Ronald Bordens United States
D. Roelcke Germany
Jon A. Deakin United Kingdom
Kang Hu China
J J Toole United States View profile →
Citations per field, relative to Frances E. Leland
Frances E. Leland · 1×
Citations per year, relative to Frances E. Leland
Frances E. Leland · 1×

Countries citing papers authored by Frances E. Leland

Since Specialization
Citations

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

Fields of papers citing papers by Frances E. Leland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frances E. Leland

This figure shows the co-authorship network connecting the top 25 collaborators of Frances E. Leland. A scholar is included among the top collaborators of Frances E. Leland 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 Frances E. Leland. Frances E. Leland 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
# Work Indexed citations
1
A novel DNA-peptide complex for efficient gene transfer and expression in mammalian cells.
205
2 97
3 216
4 249
5 155
6 207
7 297
8
Inhibition of experimental metastasis and extracellular matrix degradation by butanol extracts from B16-F1 murine melanoma.
19
9 7
10 54
11 21
12 26

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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