F. Giannelli

6.9k citations
130 papers · 4.9k indexed · h-index 40

F. Giannelli

126 papers receiving 4.6k citations

Peers

F. Giannelli
Comparison fields: 5 of 129
  • Hematology 2.2k
  • Genetics 571
  • Molecular Biology 3.2k
  • Genetics 1.1k
  • Developmental Biology 51
Replace Mark J. Pettenati with:
Mark J. Pettenati United States
Stephen M. Jane Australia
D.G. Harnden United Kingdom
Michael L. Mucenski United States
Helena Ayyub United Kingdom
James German United States
Eric Schoenmakers Belgium
Ram S. Verma United States
Mario Tosi France
Brigitte Royer‐Pokora Germany
F. Giannelli relative to Mark J. Pettenati United States Mark J. Pettenati's profile →
Citations per field
00.5×2.8×
Mark J. Pettenati · 1×
Citations per year

Countries citing papers authored by F. Giannelli

Since Specialization
Citations

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

Fields of papers citing papers by F. Giannelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 200015
5 19975
6
Mutational analysis of factor VIII transcripts in haemophilia A patients
19971
7 199716
8 199423
9 199442
10 199335
11 19936
12 199198
13 199069
14
UVA DOSE-RESPONSE OF NORMAL AND ACTINIC RETICULOID FIBROBLASTS - A STATISTICAL-ANALYSIS
19881
15 19691
16 196528
17 196342
18 196354
19 196184
20 196149

About F. Giannelli

F. Giannelli is a scholar working on Hematology, Molecular Biology, Genetics, Cancer Research and Genetics, having authored 130 papers that have together received 4.9k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (51 papers), Cancer-related gene regulation (42 papers), DNA Repair Mechanisms (21 papers), Blood Coagulation and Thrombosis Mechanisms (19 papers), Carcinogens and Genotoxicity Assessment (15 papers), Platelet Disorders and Treatments (11 papers), Prenatal Screening and Diagnostics (10 papers) and Chromosomal and Genetic Variations (10 papers). The work is most often cited by research in Hematology (2.2k citations), Genetics (571 citations), Molecular Biology (3.2k citations), Genetics (1.1k citations) and Developmental Biology (51 citations). F. Giannelli has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Peter M. Green, Richard D. Bagnall, J.L. Hamerton, P. E. Polani, Naushin Waseem, J.A. Naylor, C. R. Rizza, G.G. Brownlee, D. R. Bentley and K.H. Andy Choo. Their work appears in journals such as Nucleic Acids Research, The Lancet, Nature, Genomics and Cytogenetic and Genome 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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