Johann Hofmann
- Molecular Biology top 5%
- Oncology top 5%
- Organic Chemistry top 5%
- Inorganic Chemistry top 10%
- Infectious Diseases top 10%
- Co-authors
- H. GrunickeJohnny EasmonGottfried HeinischGerhard PürstingerMartin SpitalerChristof LudescherFlorian ÜberallMarcel Jenny
- Topics
- Drug Transport and Resistance Mechanisms (19 papers)Protein Kinase Regulation and GTPase Signaling (18 papers)Synthesis and biological activity (9 papers)
- Cited by
- OncologyToxicologyOrganic Chemistry
In The Last Decade
Johann Hofmann
78 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.4k
- Oncology 953
- Organic Chemistry 596
- Inorganic Chemistry 168
- Infectious Diseases 167
Countries citing papers authored by Johann Hofmann
This map shows the geographic impact of Johann 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 Johann Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johann Hofmann more than expected).
Fields of papers citing papers by Johann Hofmann
This network shows the impact of papers produced by Johann 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 Johann Hofmann. The network helps show where Johann Hofmann may publish in the future.
Co-authorship network of co-authors of Johann Hofmann
This figure shows the co-authorship network connecting the top 25 collaborators of Johann Hofmann. A scholar is included among the top collaborators of Johann 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 Johann Hofmann. Johann 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 | 15 | |
| 2 | 22 | |
| 3 | 16 | |
| 4 | 15 | |
| 5 | 25 | |
| 6 | 42 | |
| 7 | The involvement of protein kinase C isoenzymes alpha, epsilon and zeta in the sensitivity to antitumor treatment and apoptosis induction. | 33 |
| 8 | 42 | |
| 9 | 30 | |
| 10 | Protein kinase C isoenzymes, p53, accumulation of rhodamine 123, glutathione-S-transferase, topoisomerase II and MRP in multidrug resistant cell lines. | 12 |
| 11 | 29 | |
| 12 | 21 | |
| 13 | 36 | |
| 14 | 47 | |
| 15 | 34 | |
| 16 | 154 | |
| 17 | 23 | |
| 18 | 72 | |
| 19 | 2 | |
| 20 | 103 |
About Johann Hofmann
Johann Hofmann is a scholar working on Oncology, Toxicology and Molecular Biology, having authored 78 papers that have together received 2.7k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (19 papers), Protein Kinase Regulation and GTPase Signaling (18 papers) and Synthesis and biological activity (9 papers). The work is most often cited by research in Oncology (953 citations), Toxicology (76 citations) and Organic Chemistry (596 citations). Johann Hofmann has collaborated with scholars based in Austria, Germany and Poland. Frequent co-authors include H. Grunicke, Johnny Easmon, Gottfried Heinisch, Gerhard Pürstinger, Martin Spitaler, Christof Ludescher, Florian Überall, Marcel Jenny, Thomas Roth and Wolfgang Doppler. Their work appears in journals such as Blood, Molecular and Cellular Biology and JNCI Journal of the National Cancer Institute.
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.