R.T. Frank

4.1k citations
21 papers · 939 · h-index 14

Impact in

    • Neurogenesis and neuroplasticity mechanisms
  • Genetics top 5%
    • Mesenchymal stem cell research
    • Glioma Diagnosis and Treatment
    • Virus-based gene therapy research

Papers in

R.T. Frank

21 papers receiving 872 citations

Peers

R.T. Frank
Comparison fields: 5 of 109
  • Developmental Neuroscience 83
  • Genetics 198
  • Cognitive Neuroscience 175
  • Biotechnology 67
  • Oncology 154
Replace Magnus Lindvall with:
Magnus Lindvall Sweden
Jacob S. Young United States
Bing Huang China
Crystal Kelly United States
Mario Bitsche Austria
Marc R. Pelletier Canada
Linda Kelley United States
Sarah E. Miller United States
Peter Pasceri Canada
Maureen L. Condic United States
R.T. Frank relative to Magnus Lindvall Sweden Magnus Lindvall's profile →
Citations per field
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Citations per year

Countries citing papers authored by R.T. Frank

Since Specialization
Citations

This map shows the geographic impact of R.T. Frank'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 R.T. Frank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.T. Frank more than expected).

Fields of papers citing papers by R.T. Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.T. Frank. 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 R.T. Frank. The network helps show where R.T. Frank may publish in the future.

Co-authors

The 25 scholars most cited alongside R.T. Frank, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R.T. Frank Line = papers co-authored together R.T. Frank links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992207
2 2013196
3 200899
4 200978
5 200957
6 200941
7 201137
8 201537
9 201032
10 196530
11 201229
12 195822
13 195619
14
Statistical evaluation of the effect of hormonal contraceptives on the cytologic smear pattern.
196619
15 196611
16 19687
17 19696
18 19545
19 20074
20 19592

About R.T. Frank

R.T. Frank is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Reproductive Medicine, Genetics and Immunology, having authored 21 papers that have together received 939 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (3 papers), Reproductive Health and Contraception (3 papers), RNA Interference and Gene Delivery (2 papers), Ectopic Pregnancy Diagnosis and Management (2 papers), Pregnancy and Medication Impact (2 papers), Glioma Diagnosis and Treatment (2 papers), Reproductive Health and Technologies (2 papers) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Developmental Neuroscience (83 citations), Genetics (198 citations), Cognitive Neuroscience (175 citations), Biotechnology (67 citations) and Oncology (154 citations). R.T. Frank has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include H. Damasio, Karen S. Aboody, Joseph Najbauer, Marianne Z. Metz, Seung Up Kim, Margarita Gutova, Stephen E. Kendall, Rex Moats, Jay J. Gold and Carlotta A. Glackin. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Stem Cells, PLoS ONE, Fertility and Sterility and Alzheimer s & Dementia.

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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