Sabrina Martín

1.7k total citations
33 papers, 1.2k citations indexed

About

Sabrina Martín is a scholar working on Genetics, Molecular Biology and Hematology. According to data from OpenAlex, Sabrina Martín has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Molecular Biology and 7 papers in Hematology. Recurrent topics in Sabrina Martín's work include Vascular Anomalies and Treatments (6 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Tracheal and airway disorders (3 papers). Sabrina Martín is often cited by papers focused on Vascular Anomalies and Treatments (6 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Tracheal and airway disorders (3 papers). Sabrina Martín collaborates with scholars based in United States, France and Netherlands. Sabrina Martín's co-authors include Franck Lebrin, Christine L. Mummery, Helen M. Arthur, Karine Raymond, F. J. M. Disch, Repke J. Snijder, Johannes J. Mager, Carlo M. Croce, Florent Soubrier and Jean‐Léon Thomas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Sabrina Martín

26 papers receiving 1.2k citations

Peers

Sabrina Martín
Comparison fields: 5 of 93
  • Molecular Biology 409
  • Genetics 315
  • Oncology 257
  • Pathology and Forensic Medicine 252
  • Genetics 211
Replace Natacha Entz‐Werlé with:
Natacha Entz‐Werlé France
Sílvia Regina Caminada de Toledo Brazil
Margaret E. Macy United States
Christoph Walz Germany
Meera Ramanujam United States
Teresa Flores Spain
Ann Traynor United States
Y Hayashi Japan
Bodil Strömbeck Sweden
Nadia Carboni Italy
Natacha Entz‐Werlé France View profile →
Citations per field, relative to Sabrina Martín
Sabrina Martín · 1×
Citations per year, relative to Sabrina Martín
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Countries citing papers authored by Sabrina Martín

Since Specialization
Citations

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

Fields of papers citing papers by Sabrina Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabrina Martín

This figure shows the co-authorship network connecting the top 25 collaborators of Sabrina Martín. A scholar is included among the top collaborators of Sabrina Martín based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sabrina Martín. Sabrina Martín is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 0
5 0
6 13
7 19
8 138
9 49
10 61
11 42
12 16
13 267
14 3
15 23
16 118
17 73
18 9
19 3
20 2

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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