Francesco Hofmann
- Molecular Biology top 1%
- Oncology top 2%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Co-authors
- Qing‐Bai SheGordon B. MillsNeal RosenDaniel J. HicklinKathryn O’ReillyHeidi A. LaneDale L. LudwigDebra L. Smith
- Topics
- PI3K/AKT/mTOR signaling in cancer (12 papers)Cancer-related Molecular Pathways (11 papers)Growth Hormone and Insulin-like Growth Factors (8 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Francesco Hofmann
54 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 4.2k
- Oncology 1.4k
- Cancer Research 1.0k
- Pulmonary and Respiratory Medicine 900
- Endocrinology, Diabetes and Metabolism 882
Countries citing papers authored by Francesco Hofmann
This map shows the geographic impact of Francesco Hofmann'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 Francesco Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Hofmann more than expected).
Fields of papers citing papers by Francesco Hofmann
This network shows the impact of papers produced by Francesco Hofmann. 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 Francesco Hofmann. The network helps show where Francesco Hofmann may publish in the future.
Co-authorship network of co-authors of Francesco Hofmann
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Hofmann. A scholar is included among the top collaborators of Francesco Hofmann 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 Francesco Hofmann. Francesco Hofmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 105 | |
| 2 | 59 | |
| 3 | 39 | |
| 4 | 59 | |
| 5 | 69 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 58 | |
| 9 | 41 | |
| 10 | 99 | |
| 11 | 30 | |
| 12 | 21 | |
| 13 | mTOR Inhibition Induces Upstream Receptor Tyrosine Kinase Signaling and Activates Aktbreakdown → | 2037 |
| 14 | 118 | |
| 15 | 1 | |
| 16 | 114 | |
| 17 | 447 | |
| 18 | 53 | |
| 19 | 148 | |
| 20 | 32 |
About Francesco Hofmann
Francesco Hofmann is a scholar working on Oncology, Genetics and Cancer Research, having authored 56 papers that have together received 5.9k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (12 papers), Cancer-related Molecular Pathways (11 papers) and Growth Hormone and Insulin-like Growth Factors (8 papers). The work is most often cited by research in Cancer Research (1.0k citations), Molecular Biology (4.2k citations) and Endocrinology, Diabetes and Metabolism (882 citations). Francesco Hofmann has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Qing‐Bai She, Gordon B. Mills, Neal Rosen, Daniel J. Hicklin, Kathryn O’Reilly, Heidi A. Lane, Dale L. Ludwig, Debra L. Smith, José Baselga and David B. Solit. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and Molecular Cell.
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.