M. Baiget

516 citations
30 papers · 292 · h-index 10

Impact in

Papers in

    • RNA modifications and cancer 4
    • DNA Repair Mechanisms 3
    • Cancer therapeutics and mechanisms 2
    • Hemoglobinopathies and Related Disorders 6
    • Neurogenetic and Muscular Disorders Research 4
    • BRCA gene mutations in cancer 3

M. Baiget

29 papers receiving 281 citations

Peers

M. Baiget
Comparison fields: 5 of 45
  • Genetics 73
  • Cellular and Molecular Neuroscience 66
  • Hematology 34
  • Ophthalmology 23
  • Biological Psychiatry 6
Replace Fariba Sedehizade with:
Fariba Sedehizade Germany
Μαρία Καραμίτα Greece
A Amemiya Japan
Alan Ridley United Kingdom
O. Vuia Germany
Marc D’Hooghe Belgium
Jorge Pinto‐Basto Portugal
Bird Td United States
Kathrin Jeltsch Germany
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Citations per field
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Citations per year

Countries citing papers authored by M. Baiget

Since Specialization
Citations

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

Fields of papers citing papers by M. Baiget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200644
2 200642
3 199338
4 201330
5 199929
6 198618
7 200618
8 199413
9 198310
10 19949
11 19966
12 19966
13 20114
14 19943
15 19823
16 20012
17 19792
18 20082
19
Serum ferritin concentration and bone marrow iron stores.
19802
20
[Mutations in the BRCA1 gene in young Spanish women with breast cancer].
19992

About M. Baiget

M. Baiget is a scholar working on Molecular Biology, Genetics, Hematology, Oncology and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 292 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (6 papers), Neurogenetic and Muscular Disorders Research (4 papers), RNA modifications and cancer (4 papers), Iron Metabolism and Disorders (3 papers), BRCA gene mutations in cancer (3 papers), DNA Repair Mechanisms (3 papers), Genetic factors in colorectal cancer (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Genetics (73 citations), Cellular and Molecular Neuroscience (66 citations), Hematology (34 citations), Ophthalmology (23 citations) and Biological Psychiatry (6 citations). M. Baiget has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Enric Álvarez, Víctor Pérez, Vı́ctor Volpini, José Ignacio Emparanza, Loreto Martorell, Eduardo F. Tizzano, J.F. Martí-Massó, José M. Millán, J J Poza and Orland Dı́ez. Their work appears in journals such as Human Mutation, Acta Haematologica, Journal of Clinical Oncology, Neuromuscular Disorders and European Journal of Human Genetics.

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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