Marco H. Hofmann
- Molecular Biology
- Oncology top 10%
- Pharmacology top 2%
- Cancer Research
- Pulmonary and Respiratory Medicine
- Co-authors
- Tanja SaußeleKathrin KleinUlrich M. ZangerMatthias SchwabJulia BlievernichtElke SchaeffelerNorbert KrautMichael Gmachl
- Topics
- Growth Hormone and Insulin-like Growth Factors (8 papers)Cancer, Hypoxia, and Metabolism (7 papers)Cancer-related Molecular Pathways (6 papers)
- Cited by
- PharmacologyOncologyVirology
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Marco H. Hofmann
36 papers receiving 940 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Molecular Biology 489
- Oncology 301
- Pharmacology 229
- Cancer Research 129
- Pulmonary and Respiratory Medicine 123
Countries citing papers authored by Marco H. Hofmann
This map shows the geographic impact of Marco H. 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 Marco H. Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco H. Hofmann more than expected).
Fields of papers citing papers by Marco H. Hofmann
This network shows the impact of papers produced by Marco H. 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 Marco H. Hofmann. The network helps show where Marco H. Hofmann may publish in the future.
Co-authorship network of co-authors of Marco H. Hofmann
This figure shows the co-authorship network connecting the top 25 collaborators of Marco H. Hofmann. A scholar is included among the top collaborators of Marco H. 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 Marco H. Hofmann. Marco H. 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 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 9 | |
| 9 | KRAS Secondary Mutations That Confer Acquired Resistance to KRAS G12C Inhibitors, Sotorasib and Adagrasib, and Overcoming Strategies: Insights From In Vitro Experimentsbreakdown → | 167 |
| 10 | 14 | |
| 11 | 22 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 16 | |
| 16 | 73 | |
| 17 | 13 | |
| 18 | 42 | |
| 19 | 172 | |
| 20 | 3 |
About Marco H. Hofmann
Marco H. Hofmann is a scholar working on Hematology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 41 papers that have together received 953 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Pharmacology (229 citations), Oncology (301 citations) and Virology (48 citations). Marco H. Hofmann has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Tanja Saußele, Kathrin Klein, Ulrich M. Zanger, Matthias Schwab, Julia Blievernicht, Elke Schaeffeler, Norbert Kraut, Michael Gmachl, Günther R. Adolf and Kenichi Suda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.
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.