M T Fera

37 papers receiving 926 citations

Peers

M T Fera
Comparison fields: 5 of 102
  • Endocrinology 261
  • Food Science 237
  • Molecular Medicine 56
  • Immunology 177
  • Infectious Diseases 141
Replace Hanne Marie Holt with:
Hanne Marie Holt Denmark
Lilian H. Lam United States
Vered Agmon Israel
M Lefèvre France
I Ciznár Slovakia
Rosario Morales-Espinosa Mexico
M. Papapetropoulou Greece
Dixie D. Whitt United States
Volker Gürtler Australia
Uma S. Babu United States
M T Fera relative to Hanne Marie Holt Denmark Hanne Marie Holt's profile →
Citations per field
00.5×1.5×
Hanne Marie Holt · 1×
Citations per year

Countries citing papers authored by M T Fera

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with M T Fera Line = papers co-authored together M T Fera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004117
2 2009106
3 2004104
4
Gastric infection by Helicobacter pylori and antral gastritis in hyperglycemic obese and in diabetic subjects.
199662
5 200561
6 201344
7 200344
8 199640
9 200940
10 200836
11 199734
12 200530
13 200926
14 200325
15 200824
16 200924
17 200517
18 200117
19
Helicobacter pylori infection: a simplified diagnostic approach.
199017
20 200113

About M T Fera

M T Fera is a scholar working on Epidemiology, Endocrinology, Surgery, Molecular Biology and Food Science, having authored 38 papers that have together received 959 indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (8 papers), Vibrio bacteria research studies (7 papers), Salmonella and Campylobacter epidemiology (6 papers), Streptococcal Infections and Treatments (3 papers), Antifungal resistance and susceptibility (3 papers), Bacterial Infections and Vaccines (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers) and Eosinophilic Esophagitis (3 papers). The work is most often cited by research in Endocrinology (261 citations), Food Science (237 citations), Molecular Medicine (56 citations), Immunology (177 citations) and Infectious Diseases (141 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, Giuseppe Teti and Maria Grazia Pennisi. Their work appears in journals such as International Journal of Antimicrobial Agents, Journal of Applied Microbiology, Annals of the New York Academy of Sciences, Marine Pollution Bulletin 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.

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