G Gamba

1.6k citations
68 papers · 1.1k · h-index 19

Impact in

  • Hematology top 2%
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
    • Hemophilia Treatment and Research
    • Venous Thromboembolism Diagnosis and Management

Papers in

G Gamba

65 papers receiving 1.1k citations

Peers

G Gamba
Comparison fields: 5 of 71
  • Hematology 524
  • Internal Medicine 111
  • Rheumatology 314
  • Genetics 169
  • Nephrology 55
Replace B. Bottasso with:
B. Bottasso Italy
S.J. Machin United Kingdom
Etsuji Suehisa Japan
Semra Dündar Türkiye
P C Comp United States
Barry G. Firkin Australia
Masahiro Ieko Japan
Αnthi Travlou Greece
M.F. Aillaud France
José Hermida Spain
G Gamba relative to B. Bottasso Italy B. Bottasso's profile →
Citations per field
00.5×2.5×
B. Bottasso · 1×
Citations per year

Countries citing papers authored by G Gamba

Since Specialization
Citations

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

Fields of papers citing papers by G Gamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996310
2 200180
3 199671
4
In vitro and in vivo effects of desmopressin on platelet function.
199953
5 201040
6 198938
7 199337
8 201932
9 199826
10 198526
11 198625
12 197724
13 199424
14 201222
15 199921
16 201520
17 198620
18 199219
19 200419
20 201318

About G Gamba

G Gamba is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Surgery, Genetics and Cardiology and Cardiovascular Medicine, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (15 papers), Hemophilia Treatment and Research (13 papers), Blood properties and coagulation (8 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Diabetes Management and Research (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Hematology (524 citations), Internal Medicine (111 citations), Rheumatology (314 citations), Genetics (169 citations) and Nephrology (55 citations). G Gamba has collaborated with scholars based in Italy, United States and Mexico. Frequent co-authors include Nadia Montani, Piercarla Schinco, Giovanni Grignani, Maria Gabriella Mazzucconi, Valerio De Stefano, E Ascari, F. Baudo, N. Ciavarella, Cesare Manotti and Enrico Maria Pogliani. Their work appears in journals such as Thrombosis and Haemostasis, Acta Diabetologica, Thrombosis Research, British Journal of Haematology and European Journal Of Haematology.

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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