Segundo Mariz

38 papers receiving 583 citations

Peers

Segundo Mariz
Comparison fields: 5 of 84
  • Immunology and Allergy 105
  • Endocrinology, Diabetes and Metabolism 100
  • Rheumatology 74
  • Dermatology 44
  • Genetics 51
Replace Alessandro Milani with:
Alessandro Milani Italy
Nobuhiro Maruyama Japan
Bonnie Oliver United States
R. Fife United Kingdom
Maria Gaetana Di Mauro Italy
Siraprapa Tongkobpetch Thailand
R Urban United States
Elisabeth Glitzner Austria
Detao Gao United States
Yoshimasa Nobeyama Japan
Segundo Mariz relative to Alessandro Milani Italy Alessandro Milani's profile →
Citations per field
00.5×6.7×
Alessandro Milani · 1×
Citations per year

Countries citing papers authored by Segundo Mariz

Since Specialization
Citations

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

Fields of papers citing papers by Segundo Mariz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Segundo Mariz, 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 Segundo Mariz Line = papers co-authored together Segundo Mariz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199693
2 200971
3 200650
4 199245
5 201629
6 201727
7 200726
8 201223
9 202121
10 200520
11 200517
12 199317
13 200815
14 200414
15 200713
16 200713
17 201612
18 201711
19 202110
20 20149

About Segundo Mariz

Segundo Mariz is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Economics and Econometrics and Genetics, having authored 40 papers that have together received 621 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (8 papers), Diabetes Treatment and Management (7 papers), Pancreatic function and diabetes (7 papers), CRISPR and Genetic Engineering (6 papers), Pharmaceutical Economics and Policy (3 papers), CAR-T cell therapy research (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Genomics and Rare Diseases (3 papers). The work is most often cited by research in Immunology and Allergy (105 citations), Endocrinology, Diabetes and Metabolism (100 citations), Rheumatology (74 citations), Dermatology (44 citations) and Genetics (51 citations). Segundo Mariz has collaborated with scholars based in Netherlands, Germany and Portugal. Frequent co-authors include Ian W Campbell, Bernard Burtin, Bruno Sepodes, Violeta Stoyanova‐Beninska, B Valentin, U.‐F. Haustein, B. M. Henz, John E. Ware, C. Fayol and Patrick Marquis. Their work appears in journals such as Drug Discovery Today, Nature Reviews Drug Discovery, Frontiers in Medicine, Orphanet Journal of Rare Diseases and British Journal of Clinical Pharmacology.

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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