Maximiliano Martín

517 citations
28 papers · 358 indexed · h-index 8
Topics
Paraoxonase enzyme and polymorphisms (10 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)Lipoproteins and Cardiovascular Health (4 papers)
Journals
SHILAP Revista de lepidopterologíaGastroenterologyJournal of Nutrition
Partner nations
ArgentinaFranceSpain

In The Last Decade

Maximiliano Martín

27 papers receiving 351 citations

Peers

Maximiliano Martín
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 96
  • Surgery 87
  • Clinical Biochemistry 59
  • Epidemiology 49
  • Cardiology and Cardiovascular Medicine 47
Replace Elisabeth C. Samouilidou with:
Elisabeth C. Samouilidou Greece
Merve Ergin Türkiye
Hisae Tanaka Japan
Bing Du China
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Qianlu Jin China
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Citations per field
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Citations per year

Countries citing papers authored by Maximiliano Martín

Since Specialization
Citations

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

Fields of papers citing papers by Maximiliano Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximiliano Martín

This figure shows the co-authorship network connecting the top 25 collaborators of Maximiliano Martín. A scholar is included among the top collaborators of Maximiliano 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 Maximiliano Martín. Maximiliano 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
#WorkIndexed citations
1 0
2 2
3 1
4 1
5 3
6 2
7 2
8 25
9 4
10 9
11 2
12 25
13 1
14 13
15 5
16 185
17 29
18 23
19 7
20 1

About Maximiliano Martín

Maximiliano Martín is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 28 papers that have together received 358 indexed citations. Recurring topics across this work include Paraoxonase enzyme and polymorphisms (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Lipoproteins and Cardiovascular Health (4 papers). The work is most often cited by research in Clinical Biochemistry (59 citations), Endocrinology, Diabetes and Metabolism (96 citations) and Rheumatology (46 citations). Maximiliano Martín has collaborated with scholars based in Argentina, France and Spain. Frequent co-authors include Fernando Brites, Anatol Kontush, Isabelle Guillas, Laura Boero, Tomás Meroño, Patricia Sorroche, María Soledad Cruz Sáez, Deborah R. Tasat, Enrique R. Soriano and Leonardo Gómez Rosso. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and Journal of Nutrition.

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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