Mario Pulido‐Moran

1.3k citations
16 papers · 1.0k indexed · 1 hit paper · h-index 11

Mario Pulido‐Moran

16 papers receiving 1.0k citations

Hit Papers

Curcumin and Health4222016202620192022100200300400

Peers

Mario Pulido‐Moran
Comparison fields: 5 of 106
  • Molecular Medicine 231
  • Biochemistry 199
  • Organic Chemistry 227
  • Nutrition and Dietetics 108
  • Food Science 103
Replace Manjula Vinayak with:
Manjula Vinayak India
Wonil Koh South Korea
Faye Hsieh United States
Chada Phisalaphong Thailand
You-Rong Lou United States
Youngjoo Kwon South Korea
Vinothkumar Rajamanickam China
Raghavendhar R. Kotha United States
Mou-Tuan Huang United States
Mariel Calderón‐Oliver Mexico
Mario Pulido‐Moran relative to Manjula Vinayak India Manjula Vinayak's profile →
Citations per field
00.5×1.5×2.2×
Manjula Vinayak · 1×
Citations per year

Countries citing papers authored by Mario Pulido‐Moran

Since Specialization
Citations

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

Fields of papers citing papers by Mario Pulido‐Moran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Pulido‐Moran. 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 Pulido‐Moran. The network helps show where Mario Pulido‐Moran may publish in the future.

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20231
2 201910
3 201842
4 201710
5 2017254
6 20175
7
Curcumin and Healthbreakdown →
2016422
8 201646
9 20162
10 201635
11 201621
12 201611
13 20156
14 201534
15 2014118
16 201230

About Mario Pulido‐Moran

Mario Pulido‐Moran is a scholar working on Rehabilitation, Obstetrics and Gynecology and Biochemistry, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (3 papers), Coenzyme Q10 studies and effects (3 papers), Exercise and Physiological Responses (3 papers), Antioxidant Activity and Oxidative Stress (2 papers), Muscle metabolism and nutrition (2 papers), Iron Metabolism and Disorders (2 papers), Adipose Tissue and Metabolism (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Molecular Medicine (231 citations), Biochemistry (199 citations) and Organic Chemistry (227 citations). Mario Pulido‐Moran has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include M. Carmen Ramírez-Tortosa, César L. Ramírez-Tortosa, Jorge Moreno‐Fernández, José L. Quiles, Carmen Rodríguez‐García, Julio J. Ochoa, Javier Díaz‐Castro, Sergio Granados‐Principal, Naroa Kajarabille and Pedro Sánchez‐Rovira. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Molecules and Biochemical 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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