M. Bellò

64 papers receiving 790 citations

Peers

M. Bellò
Comparison fields: 5 of 92
  • Endocrinology 52
  • Infectious Diseases 136
  • Biotechnology 62
  • Food Science 126
  • Pathology and Forensic Medicine 110
Replace Hiromasa Hamada with:
Hiromasa Hamada Japan
Susan E. Turnquist United States
Lijun Zhou China
Tania Contente‐Cuomo United States
Elodie Mohr United Kingdom
Hiroo Madarame Japan
Dominique Jeannel France
Ruhollah Dorostkar Iran
Per Brandtzaeg Norway
Gudrun Szalay Germany
M. Bellò relative to Hiromasa Hamada Japan Hiromasa Hamada's profile →
Citations per field
00.5×2.7×
Hiromasa Hamada · 1×
Citations per year

Countries citing papers authored by M. Bellò

Since Specialization
Citations

This map shows the geographic impact of M. Bellò'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. Bellò with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Bellò more than expected).

Fields of papers citing papers by M. Bellò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Bellò. 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. Bellò. The network helps show where M. Bellò may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Bellò, 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. Bellò Line = papers co-authored together M. Bellò links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bone marrow disease detection with FDG-PET/CT and bone marrow biopsy during the staging of malignant lymphoma: results from a large multicentre study.
201164
2 200241
3 201536
4 201432
5 201332
6 201332
7 200429
8 201227
9 201327
10 200326
11 200626
12 201025
13 201125
14 200323
15 200321
16 202020
17 200319
18 200419
19 202118
20 200118

About M. Bellò

M. Bellò is a scholar working on Infectious Diseases, Molecular Biology, Food Science, Epidemiology and Agronomy and Crop Science, having authored 69 papers that have together received 818 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (9 papers), Milk Quality and Mastitis in Dairy Cows (8 papers), Probiotics and Fermented Foods (8 papers), Mycobacterium research and diagnosis (7 papers), Colorectal and Anal Carcinomas (6 papers), Epigenetics and DNA Methylation (5 papers), Viral gastroenteritis research and epidemiology (4 papers) and Breast Cancer Treatment Studies (4 papers). The work is most often cited by research in Endocrinology (52 citations), Infectious Diseases (136 citations), Biotechnology (62 citations), Food Science (126 citations) and Pathology and Forensic Medicine (110 citations). M. Bellò has collaborated with scholars based in Nigeria, Italy and Spain. Frequent co-authors include Jacob K. P. Kwaga, Ettore Pelosi, G Bisi, Juan A. Rey, Pilar González‐Gómez, Alberto Isla, M. Alonso, Dolores Arjona, M. A. Raji and Cinthia Amiñoso. Their work appears in journals such as Oncology Reports, Tropical Animal Health and Production, Food Control, International Journal of Infectious Diseases and International Journal of Molecular Medicine.

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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