M T Fera
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Food Science top 5%
- Salmonella and Campylobacter epidemiology
Papers in
-
- Vibrio bacteria research studies 9
- Co-authors
- Maria Luigia CarboneErminia La CameraTeresa L. MaugeriConcetta GugliandoloAngelina De SarroConcetta BeninatiValeria LentiniSocrate Pallio
- Journals
- International Journal of Antimicrobial Agents (4 papers)Journal of Applied Microbiology (3 papers)Annals of the New York Academy of Sciences (3 papers)Infection and Immunity (2 papers)Applied and Environmental Microbiology (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
M T Fera
37 papers receiving 920 citations
Peers
Comparison fields: 5 of 103
- Endocrinology 285
- Food Science 248
- Molecular Medicine 60
- Immunology 209
- Infectious Diseases 152
Countries citing papers authored by M T Fera
This map shows the geographic impact of M T Fera'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 M T Fera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M T Fera more than expected).
Fields of papers citing papers by M T Fera
This network shows the impact of papers produced by M T Fera. 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 M T Fera. The network helps show where M T Fera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M T Fera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 4 | |
| 2 | 2009 | 26 | |
| 3 | 2009 | 105 | |
| 4 | 2009 | 24 | |
| 5 | 2009 | 39 | |
| 6 | 2008 | 24 | |
| 7 | 2005 | 30 | |
| 8 | 2005 | 17 | |
| 9 | 2005 | 62 | |
| 10 | 2004 | 115 | |
| 11 | 2003 | 44 | |
| 12 | 2002 | 0 | |
| 13 | 2002 | 12 | |
| 14 | 2002 | 10 | |
| 15 | 2002 | 3 | |
| 16 | 2001 | 17 | |
| 17 | 2001 | 13 | |
| 18 | 1999 | 4 | |
| 19 | 1998 | 5 | |
| 20 | Effects of anti-cytokine treatments in neonatal sepsis models. | 1995 | 1 |
About M T Fera
M T Fera is a scholar working on Endocrinology, Microbiology, Small Animals, Applied Microbiology and Biotechnology and Immunology, having authored 38 papers that have together received 954 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (9 papers), Helicobacter pylori-related gastroenterology studies (9 papers), Salmonella and Campylobacter epidemiology (6 papers), Aquaculture disease management and microbiota (5 papers), Eosinophilic Esophagitis (3 papers), Mycobacterium research and diagnosis (3 papers), Streptococcal Infections and Treatments (3 papers) and Neonatal and Maternal Infections (3 papers). The work is most often cited by research in Endocrinology (285 citations), Food Science (248 citations), Molecular Medicine (60 citations), Immunology (209 citations) and Infectious Diseases (152 citations). M T Fera has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Maria Luigia Carbone, Erminia La Camera, Teresa L. Maugeri, Concetta Gugliandolo, Angelina De Sarro, Concetta Beninati, Valeria Lentini, Socrate Pallio, V Cusumano and Sebastiana Zummo. Their work appears in journals such as International Journal of Antimicrobial Agents, Journal of Applied Microbiology, Annals of the New York Academy of Sciences, Infection and Immunity and Applied and Environmental Microbiology.
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.