M. Baiget

517 citations
30 papers · 302 · h-index 9

Impact in

Papers in

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

M. Baiget

29 papers receiving 290 citations

Peers

M. Baiget
Comparison fields: 5 of 44
  • Genetics 68
  • Cellular and Molecular Neuroscience 59
  • Hematology 29
  • Psychiatry and Mental health 31
  • Biological Psychiatry 5
Replace Paweł Daszkiewicz with:
Paweł Daszkiewicz Poland
Μαρία Καραμίτα Greece
Adam Mp
Ardinger Hh United States
Bean Ljh
Marije Meuwissen Belgium
A Amemiya Japan
Jorge Pinto‐Basto Portugal
O. Vuia Germany
Bird Td United States
M. Baiget relative to Paweł Daszkiewicz Poland Paweł Daszkiewicz's profile →
Citations per field
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Paweł Daszkiewicz · 1×
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 200647
2 200646
3 199340
4 201332
5 199930
6 198620
7 200619
8 199413
9 19949
10 19966
11 19966
12 20114
13 20093
14 19943
15 19823
16 20013
17 20133
18
[Mutations in the BRCA1 gene in young Spanish women with breast cancer].
19992
19 20082
20
Serum ferritin concentration and bone marrow iron stores.
19802

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 302 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), DNA Repair Mechanisms (3 papers), Iron Metabolism and Disorders (3 papers), BRCA gene mutations in cancer (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Genetics (68 citations), Cellular and Molecular Neuroscience (59 citations), Hematology (29 citations), Psychiatry and Mental health (31 citations) and Biological Psychiatry (5 citations). M. Baiget has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Enric Álvarez, Vı́ctor Volpini, Víctor Pérez, José Ignacio Emparanza, Orland Dı́ez, J.F. Martí-Massó, José M. Millán, Loreto Martorell, Eduardo F. Tizzano and Deborah J. Goldfrank. Their work appears in journals such as Acta Haematologica, Human Mutation, Neuromuscular Disorders, Journal of Clinical Oncology and Neuroepidemiology.

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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