G. Martini

65 papers receiving 2.2k citations

Peers

G. Martini
Comparison fields: 5 of 131
  • Pediatrics, Perinatology and Child Health 795
  • Microbiology 161
  • Clinical Biochemistry 145
  • Genetics 384
  • Molecular Biology 935
Replace Srinivasa R. Nagalla with:
Srinivasa R. Nagalla United States
Alberto Barros Portugal
Marta Sampaio de Freitas Brazil
Tadashi Yamamoto Japan
Klaus Huse Germany
E.R. Giblett United States
H. Bartels Germany
Marguerite M.B. Kay United States
Isao Yuasa Japan
Masanori Suzuki Japan
G. Martini relative to Srinivasa R. Nagalla United States Srinivasa R. Nagalla's profile →
Citations per field
00.5×4.4×
Srinivasa R. Nagalla · 1×
Citations per year

Countries citing papers authored by G. Martini

Since Specialization
Citations

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

Fields of papers citing papers by G. Martini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986216
2 1988202
3 1986188
4 1988183
5 2003151
6 1997135
7 1988108
8 198275
9 198474
10
Genetic heterogeneity of glucose-6-phosphate dehydrogenase deficiency revealed by single-strand conformation and sequence analysis.
199371
11 198462
12 199657
13 200446
14 199142
15 199339
16 198235
17 200434
18 200832
19 200331
20
Somatic-cell selection is a major determinant of the blood-cell phenotype in heterozygotes for glucose-6-phosphate dehydrogenase mutations causing severe enzyme deficiency.
199629

About G. Martini

G. Martini is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Plant Science, Surgery and Physiology, having authored 67 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (25 papers), Plant Genetic and Mutation Studies (7 papers), Chromosomal and Genetic Variations (6 papers), Plant tissue culture and regeneration (6 papers), Pancreatic function and diabetes (5 papers), Erythrocyte Function and Pathophysiology (4 papers), Plant Disease Resistance and Genetics (4 papers) and Blood groups and transfusion (4 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (795 citations), Microbiology (161 citations), Clinical Biochemistry (145 citations), Genetics (384 citations) and Molecular Biology (935 citations). G. Martini has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Daniela Toniolo, Lucio Luzzatto, Rosanna Dono, Michele D’Urso, Matilde Valeria Ursini, E. Soravia, Michael Zasloff, M. Graziella Persico, Stefania Filosa and Tom Vulliamy. Their work appears in journals such as Gene, Proceedings of the National Academy of Sciences, The EMBO Journal, Human Genetics and Nucleic Acids Research.

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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