Frank C. Bancroft
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 1%
- Genetics top 5%
- Cancer Research top 5%
- Immunology top 10%
- Co-authors
- B A WhiteArmen H. TashjianLawrence LevineErnest S. KawasakiRobert TushinskiPaul R. DobnerDavid FreifelderDaniela S. Gerhard
- Topics
- Growth Hormone and Insulin-like Growth Factors (16 papers)Cancer, Hypoxia, and Metabolism (10 papers)DNA and Nucleic Acid Chemistry (3 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Frank C. Bancroft
32 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 1.6k
- Endocrinology, Diabetes and Metabolism 929
- Genetics 685
- Cancer Research 333
- Immunology 305
Countries citing papers authored by Frank C. Bancroft
This map shows the geographic impact of Frank C. Bancroft'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 Frank C. Bancroft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank C. Bancroft more than expected).
Fields of papers citing papers by Frank C. Bancroft
This network shows the impact of papers produced by Frank C. Bancroft. 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 Frank C. Bancroft. The network helps show where Frank C. Bancroft may publish in the future.
Co-authorship network of co-authors of Frank C. Bancroft
This figure shows the co-authorship network connecting the top 25 collaborators of Frank C. Bancroft. A scholar is included among the top collaborators of Frank C. Bancroft 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 Frank C. Bancroft. Frank C. Bancroft is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 87 | |
| 4 | 136 | |
| 5 | 2 | |
| 6 | 30 | |
| 7 | 79 | |
| 8 | 6 | |
| 9 | 68 | |
| 10 | 12 | |
| 11 | 96 | |
| 12 | 8 | |
| 13 | 19 | |
| 14 | 47 | |
| 15 | 109 | |
| 16 | PRODUCTION OF BOTH PROLACTIN AND GROWTH HORMONE BY CLONAL STRAINS OF RAT PITUITARY TUMOR CELLSbreakdown → | 296 |
| 17 | 25 | |
| 18 | 43 | |
| 19 | 91 | |
| 20 | 132 |
About Frank C. Bancroft
Frank C. Bancroft is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Hepatology, having authored 32 papers that have together received 3.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (16 papers), Cancer, Hypoxia, and Metabolism (10 papers) and DNA and Nucleic Acid Chemistry (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (929 citations), Genetics (685 citations) and Molecular Biology (1.6k citations). Frank C. Bancroft has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include B A White, Armen H. Tashjian, Lawrence Levine, Ernest S. Kawasaki, Robert Tushinski, Paul R. Dobner, David Freifelder, Daniela S. Gerhard, Piroska E. Szabó and David Taylor. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.