G Vinci

2.2k citations
43 papers · 1.7k indexed · h-index 24

Impact in

  • Hematology top 1%
    • Platelet Disorders and Treatments
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

G Vinci

42 papers receiving 1.6k citations

Peers

G Vinci
Comparison fields: 5 of 93
  • Hematology 746
  • Genetics 322
  • Reproductive Medicine 184
  • Immunology 354
  • Genetics 357
Replace Bertil Casslén with:
Bertil Casslén Sweden
Philip G. Hollingshead United States
K Nocka United States
Frederick Racke United States
Irina Golovleva Sweden
Hans‐Ulrich Pauer Germany
Catherine Maillard Belgium
Laurent Bartholin France
Berno Dankbar Germany
Helene Solberg Denmark
G Vinci relative to Bertil Casslén Sweden Bertil Casslén's profile →
Citations per field
00.5×1.5×2.3×
Bertil Casslén · 1×
Citations per year

Countries citing papers authored by G Vinci

Since Specialization
Citations

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

Fields of papers citing papers by G Vinci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201713
2 20167
3 20117
4 201072
5 200917
6 20083
7 200846
8 200759
9 200755
10 200567
11 200535
12 200426
13 199821
14 199116
15 198927
16
Additional total-lymphoid irradiation in preventing graft failure of T-cell-depleted bone marrow transplantation from HLA-identical siblings. Results of a prospective randomized study.
19885
17 198866
18 198599
19
Myeloid and megakaryocytic properties of K-562 cell lines.
1983131
20
Normal human serum contains a factor(s) capable of inhibiting megakaryocyte colony formation.
198259

About G Vinci

G Vinci is a scholar working on Hematology, Reproductive Medicine, Genetics, Immunology and Aging, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (10 papers), Hematopoietic Stem Cell Transplantation (8 papers), Sexual Differentiation and Disorders (7 papers), T-cell and B-cell Immunology (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Blood properties and coagulation (4 papers), Erythrocyte Function and Pathophysiology (4 papers) and Sperm and Testicular Function (4 papers). The work is most often cited by research in Hematology (746 citations), Genetics (322 citations), Reproductive Medicine (184 citations), Immunology (354 citations) and Genetics (357 citations). G Vinci has collaborated with scholars based in France, United States and Croatia. Frequent co-authors include William Vainchenker, J Breton-Gorius, A Henri, H Rochant, Ugo Testa, Ken McElreavey, Antonio Tabilio, Reiner A. Veitia, Jean‐Luc Villeval and J. Chapman. Their work appears in journals such as Blood, Molecular Human Reproduction, Leukemia Research, The Journal of Clinical Endocrinology & Metabolism and The Journal of Immunology.

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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