Bruno Maresca
Impact in
- Aging top 5%
- Infectious Diseases top 2%
- Antifungal resistance and susceptibility
Papers in
-
- Heat shock proteins research 25
- Fungal and yeast genetics research 11
-
- Plant-Microbe Interactions and Immunity 9
- Co-authors
- G S Kobayashi (20 shared papers)László Vı́gh (8 shared papers)John L. Harwood (3 shared papers)Ibolya Horváth (8 shared papers)Gerald Medoff (11 shared papers)George S. Kobayashi (10 shared papers)M. Sacco (8 shared papers)Amalia Porta (18 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (6 papers)Journal of Bacteriology (5 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Medicinal Chemistry (3 papers)Biological Theory (2 papers)
- Partner nations
- ItalyUnited StatesHungary
In The Last Decade
Bruno Maresca
97 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 143
- Aging 63
- Infectious Diseases 599
- Cell Biology 557
- Biochemistry 220
- Molecular Biology 1.9k
Countries citing papers authored by Bruno Maresca
This map shows the geographic impact of Bruno Maresca'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 Bruno Maresca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Maresca more than expected).
Fields of papers citing papers by Bruno Maresca
This network shows the impact of papers produced by Bruno Maresca. 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 Bruno Maresca. The network helps show where Bruno Maresca may publish in the future.
Co-authors
The 25 scholars most cited alongside Bruno Maresca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 353 | |
| 2 | 1997 | 243 | |
| 3 | 2005 | 193 | |
| 4 | 1996 | 176 | |
| 5 | 1989 | 146 | |
| 6 | 2007 | 105 | |
| 7 | 1986 | 100 | |
| 8 | 1992 | 94 | |
| 9 | 1989 | 84 | |
| 10 | 2003 | 81 | |
| 11 | 1986 | 73 | |
| 12 | 2010 | 73 | |
| 13 | 2017 | 68 | |
| 14 | 1977 | 68 | |
| 15 | 1987 | 66 | |
| 16 | 2003 | 63 | |
| 17 | 1994 | 61 | |
| 18 | 1990 | 59 | |
| 19 | 1981 | 56 | |
| 20 | 1995 | 52 |
About Bruno Maresca
Bruno Maresca is a scholar working on Molecular Biology, Plant Science, Epidemiology, Cell Biology and Infectious Diseases, having authored 100 papers that have together received 3.5k indexed citations. Recurring topics across this work include Heat shock proteins research (25 papers), Fungal Infections and Studies (19 papers), Fungal and yeast genetics research (11 papers), thermodynamics and calorimetric analyses (10 papers), Antifungal resistance and susceptibility (10 papers), Plant-Microbe Interactions and Immunity (9 papers), Lipid metabolism and biosynthesis (8 papers) and Physiological and biochemical adaptations (7 papers). The work is most often cited by research in Aging (63 citations), Infectious Diseases (599 citations), Cell Biology (557 citations), Biochemistry (220 citations) and Molecular Biology (1.9k citations). Bruno Maresca has collaborated with scholars based in Italy, United States and Hungary. Frequent co-authors include G S Kobayashi, László Vı́gh, John L. Harwood, Ibolya Horváth, Gerald Medoff, George S. Kobayashi, M. Sacco, Amalia Porta, Silvana Gargano and László Gergely Vigh. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Bacteriology, Proceedings of the National Academy of Sciences, Journal of Medicinal Chemistry and Biological Theory.
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.