Mario de la Mata

2.0k citations
36 papers · 1.6k indexed · h-index 22
Topics
Mitochondrial Function and Pathology (11 papers)Autophagy in Disease and Therapy (7 papers)Cell death mechanisms and regulation (7 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsThe FASEB Journal
Partner nations
SpainPortugalJapan

In The Last Decade

Mario de la Mata

34 papers receiving 1.6k citations

Peers

Mario de la Mata
Comparison fields: 5 of 114
  • Molecular Biology 937
  • Epidemiology 403
  • Physiology 260
  • Hepatology 163
  • Cell Biology 162
Replace Ting Qian with:
Ting Qian United States
Marina Villanueva‐Paz Spain
Liang Yang China
Y Nishimura Japan
Hyunseung Lee South Korea
Frank Gaunitz Germany
Hye Young Kim South Korea
Song Iy Han South Korea
Xiaowei Zhang China
Anja Jaeschke United States
Mario de la Mata relative to Ting Qian United States Ting Qian's profile →
Citations per field
00.5×1.5×2.4×
Ting Qian · 1×
Citations per year

Countries citing papers authored by Mario de la Mata

Since Specialization
Citations

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

Fields of papers citing papers by Mario de la Mata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario de la Mata. 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 Mario de la Mata. The network helps show where Mario de la Mata may publish in the future.

Co-authorship network of co-authors of Mario de la Mata

This figure shows the co-authorship network connecting the top 25 collaborators of Mario de la Mata. A scholar is included among the top collaborators of Mario de la Mata 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 Mario de la Mata. Mario de la Mata 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 25
4 20
5 45
6 87
7 15
8 17
9 9
10 9
11 43
12 115
13 5
14 31
15 4
16 23
17 31
18 24
19 114
20 300

About Mario de la Mata

Mario de la Mata is a scholar working on Physiology, Hepatology and Molecular Biology, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (11 papers), Autophagy in Disease and Therapy (7 papers) and Cell death mechanisms and regulation (7 papers). The work is most often cited by research in Hepatology (163 citations), Clinical Biochemistry (130 citations) and Molecular Biology (937 citations). Mario de la Mata has collaborated with scholars based in Spain, Portugal and Japan. Frequent co-authors include José A. Sánchez‐Alcázar, David Cotán, Manuel Oropesa-Ávila, Marina Villanueva‐Paz, Juan Garrido‐Maraver, Isabel de Lavera, Mónica Álvarez-Córdoba, Mario D. Cordero, Juan M. Suárez-Rivero and Jordi Muntané. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and The FASEB 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026