G. Biagi

3.5k citations
136 papers · 2.7k · 1 hit paper · h-index 30

Impact in

Papers in

G. Biagi

133 papers receiving 2.5k citations

G. Biagi's Hit Papers

Short communication: Characterization of molasses chemical composition 2020 · 172 citations
1720+2+4Years since publication50100150

Peers

G. Biagi
Comparison fields: 5 of 148
  • Animal Science and Zoology 458
  • Spectroscopy 582
  • Analytical Chemistry 313
  • Filtration and Separation 58
  • Small Animals 164
Replace Michel Laurentie with:
Michel Laurentie France
Michael R. A. Morgan United Kingdom
M. Luz Sanz Spain
Agustı́n Olano Spain
Harvey E. Indyk New Zealand
Roger Stanley Australia
Karl J. Siebert United States
Mingyong Xie China
Gang Shu China
Ken Ng Australia
G. Biagi relative to Michel Laurentie France Michel Laurentie's profile →
Citations per field
00.5×10×14.5×
Michel Laurentie · 1×
Citations per year

Countries citing papers authored by G. Biagi

Since Specialization
Citations

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

Fields of papers citing papers by G. Biagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969182
2
Short communication: Characterization of molasses chemical composition
Hit paper breakdown →
2020172
3 1994125
4 2007103
5 2010101
6 200281
7 200675
8 200169
9 200768
10 200362
11 198856
12 201853
13 201850
14 197550
15 199447
16 199945
17 202040
18 200340
19 197539
20 201538

About G. Biagi

G. Biagi is a scholar working on Molecular Biology, Spectroscopy, Nutrition and Dietetics, Organic Chemistry and Animal Science and Zoology, having authored 136 papers that have together received 2.7k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (21 papers), Animal Nutrition and Physiology (16 papers), Gut microbiota and health (14 papers), Ruminant Nutrition and Digestive Physiology (14 papers), Probiotics and Fermented Foods (11 papers), Free Radicals and Antioxidants (9 papers), Chromatography in Natural Products (7 papers) and Carcinogens and Genotoxicity Assessment (6 papers). The work is most often cited by research in Animal Science and Zoology (458 citations), Spectroscopy (582 citations), Analytical Chemistry (313 citations), Filtration and Separation (58 citations) and Small Animals (164 citations). G. Biagi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Anna Barbaro, Maurizio Guerra, Andrea Piva, G. Zaghini, Carlo Pinna, F. X. Roth, Andrea Sapone, Maurizio Recanatini, Irene Cipollini and Giorgio Cantelli‐Forti. Their work appears in journals such as Journal of Chromatography A, Italian Journal of Animal Science, Animals, Journal of Animal Science and Animal Feed Science and Technology.

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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