BG Forget

1.8k citations
63 papers · 1.7k · h-index 25

Impact in

  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders
    • Diabetes and associated disorders
  • Hematology top 2%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

    • Hemoglobinopathies and Related Disorders 30
    • Diabetes and associated disorders 6
    • Iron Metabolism and Disorders 12

BG Forget

62 papers receiving 1.6k citations

Peers

BG Forget
Comparison fields: 5 of 65
  • Genetics 632
  • Hematology 461
  • Physiology 702
  • Molecular Biology 792
  • Genetics 291
Replace François Morlé with:
François Morlé France
SA Liebhaber United States
Maria Rosaria Esposito Italy
Thomas E. Akie United States
Donald Lavelle United States
Dominic J. Ciavatta United States
WILLEM NIJHOF Netherlands
W. George Lanyon United Kingdom
Johan Flygare Sweden
R. G. Worton Canada
BG Forget relative to François Morlé France François Morlé's profile →
Citations per field
00.5×2×2.7×
François Morlé · 1×
Citations per year

Countries citing papers authored by BG Forget

Since Specialization
Citations

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

Fields of papers citing papers by BG Forget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980162
2 1979128
3 199094
4 198493
5 198965
6 198963
7 198759
8 199357
9 198054
10 197952
11 199449
12 198846
13 198643
14 198440
15 199040
16 198937
17 197936
18 198636
19 198936
20 197932

About BG Forget

BG Forget is a scholar working on Genetics, Hematology, Physiology, Molecular Biology and Genetics, having authored 63 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (30 papers), Erythrocyte Function and Pathophysiology (28 papers), Iron Metabolism and Disorders (12 papers), RNA modifications and cancer (12 papers), DNA and Nucleic Acid Chemistry (11 papers), Blood properties and coagulation (11 papers), RNA and protein synthesis mechanisms (7 papers) and Diabetes and associated disorders (6 papers). The work is most often cited by research in Genetics (632 citations), Hematology (461 citations), Physiology (702 citations), Molecular Biology (792 citations) and Genetics (291 citations). BG Forget has collaborated with scholars based in United States, France and Morocco. Frequent co-authors include EJ Jr Benz, William T. Tse, PG Gallagher, S M Weissman, Michel Garbarz, FS Collins, Jean Delaunay, DG Nathan, Edward L. Snyder and Fernando Ferreira Costa. Their work appears in journals such as Blood, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

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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