G. Manao
Impact in
- Biochemistry top 10%
- Cell Biology top 10%
Papers in
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- Biochemical and Molecular Research 12
- Protein Tyrosine Phosphatases 8
- Enzyme function and inhibition 6
- Protein Kinase Regulation and GTPase Signaling 4
- Ubiquitin and proteasome pathways 3
- Glycosylation and Glycoproteins Research 2
-
- Alkaline Phosphatase Research Studies 10
- Co-authors
- Giampietro Ramponi (23 shared papers)Giovanni G. Camici (25 shared papers)Gianni Cappugi (18 shared papers)Anna Caselli (3 shared papers)Massimo Stefani (13 shared papers)Luigia Pazzagli (1 shared paper)G. Moneti (1 shared paper)Benedetta Mazzinghi (1 shared paper)
In The Last Decade
G. Manao
31 papers receiving 565 citations
Peers
Comparison fields: 5 of 67
- Biochemistry 59
- Cell Biology 133
- Molecular Biology 465
- Physiology 117
- Endocrinology, Diabetes and Metabolism 74
Countries citing papers authored by G. Manao
This map shows the geographic impact of G. Manao'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. Manao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Manao more than expected).
Fields of papers citing papers by G. Manao
This network shows the impact of papers produced by G. Manao. 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. Manao. The network helps show where G. Manao may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Manao, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 129 | |
| 2 | 1976 | 64 | |
| 3 | 1989 | 64 | |
| 4 | 2002 | 60 | |
| 5 | 1994 | 45 | |
| 6 | 1980 | 35 | |
| 7 | 1992 | 29 | |
| 8 | 1983 | 23 | |
| 9 | 2004 | 14 | |
| 10 | 2000 | 13 | |
| 11 | Bovine brain low Mr acid phosphatase: purification and properties. | 1990 | 13 |
| 12 | 1984 | 10 | |
| 13 | 1978 | 10 | |
| 14 | 1986 | 9 | |
| 15 | Swine kidney prolidase: assay, isolation procedure, and molecular properties. | 1972 | 8 |
| 16 | 1994 | 7 | |
| 17 | 1972 | 7 | |
| 18 | 2005 | 6 | |
| 19 | 1995 | 5 | |
| 20 | Horse heart acylphosphatase: purification and characterization. | 1985 | 5 |
About G. Manao
G. Manao is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cell Biology, Organic Chemistry and Pharmacology, having authored 31 papers that have together received 581 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (12 papers), Alkaline Phosphatase Research Studies (10 papers), Protein Tyrosine Phosphatases (8 papers), Enzyme function and inhibition (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Muscle metabolism and nutrition (3 papers), Ubiquitin and proteasome pathways (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Biochemistry (59 citations), Cell Biology (133 citations), Molecular Biology (465 citations), Physiology (117 citations) and Endocrinology, Diabetes and Metabolism (74 citations). G. Manao has collaborated with scholars based in Italy, India and Pakistan. Frequent co-authors include Giampietro Ramponi, Giovanni G. Camici, Gianni Cappugi, Anna Caselli, Massimo Stefani, Luigia Pazzagli, G. Moneti, Benedetta Mazzinghi, Alessandra Modesti and Andrea Berti. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Biochemical Journal, Cellular and Molecular Life Sciences and Biotechnology and Applied Biochemistry.
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.