M.J. Rubio Pérez

557 citations
26 papers · 205 indexed · h-index 8
Topics
Ovarian cancer diagnosis and treatment (15 papers)PARP inhibition in cancer therapy (13 papers)BRCA gene mutations in cancer (7 papers)
Partner nations
SpainItalyFrance

In The Last Decade

M.J. Rubio Pérez

21 papers receiving 198 citations

Peers

M.J. Rubio Pérez
Comparison fields: 5 of 33
  • Oncology 131
  • Reproductive Medicine 124
  • Immunology 38
  • Molecular Biology 32
  • Obstetrics and Gynecology 31
Replace Tatsuo Masuda with:
Tatsuo Masuda Japan
Milissa U. Jones United States
Karim El-Shakankery United Kingdom
Sofia Karageorgopoulou Greece
Peter Wurm United Kingdom
Lili Han China
Junko Otsuka Japan
Zhongshao Chen China
J. Quaas Germany
Jerónimo Martínez-García Spain
M.J. Rubio Pérez relative to Tatsuo Masuda Japan Tatsuo Masuda's profile →
Citations per field
00.5×4.5×
Tatsuo Masuda · 1×
Citations per year

Countries citing papers authored by M.J. Rubio Pérez

Since Specialization
Citations

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

Fields of papers citing papers by M.J. Rubio Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.J. Rubio Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of M.J. Rubio Pérez. A scholar is included among the top collaborators of M.J. Rubio Pérez 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 M.J. Rubio Pérez. M.J. Rubio Pérez 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
#WorkIndexed citations
1 0
2 0
3 0
4 5
5 3
6 2
7 4
8 6
9 3
10 1
11 8
12 5
13 29
14 4
15 8
16 8
17 34
18 33
19 7
20 33

About M.J. Rubio Pérez

M.J. Rubio Pérez is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Oncology, having authored 26 papers that have together received 205 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (15 papers), PARP inhibition in cancer therapy (13 papers) and BRCA gene mutations in cancer (7 papers). The work is most often cited by research in Reproductive Medicine (124 citations), Oncology (131 citations) and Obstetrics and Gynecology (31 citations). M.J. Rubio Pérez has collaborated with scholars based in Spain, Italy and France. Frequent co-authors include Juan de la Haba-Rodríguez, Enrique Aranda, Antonio González-Martı́n, M.J. Méndez Vidal, Nicoletta Colombo, Ana Santaballa Bertrán, Radosław Mądry, Margarita Romeo, Marta Gil-Martín and Ana Oaknin. Their work appears in journals such as Journal of Clinical Oncology, Journal of Hepatology and Annals of Oncology.

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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