María E. Martinez

1.9k citations
55 papers · 1.3k · h-index 22

Impact in

Papers in

María E. Martinez

55 papers receiving 1.3k citations

Peers

María E. Martinez
Comparison fields: 5 of 114
  • Nephrology 247
  • Agronomy and Crop Science 257
  • Biochemistry 67
  • Rheumatology 161
  • Orthopedics and Sports Medicine 87
Replace M Popović with:
M Popović Serbia
Alain Pointillart France
Xiaoyu Ma China
B. L. O’Dell United States
Takahiro Noguchi Japan
Yajun Yang China
Ming Zhong China
Yinghong Liu China
Tomasz Blicharski Poland
Narasimharao Bhagavathula United States
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Citations per field
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Citations per year

Countries citing papers authored by María E. Martinez

Since Specialization
Citations

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

Fields of papers citing papers by María E. Martinez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María E. Martinez. 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 María E. Martinez. The network helps show where María E. Martinez may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015163
2 199173
3 200966
4 199464
5 199461
6 200059
7 200254
8 201051
9 201751
10 201048
11 201045
12 200044
13 198639
14 200237
15 199833
16 201332
17 199732
18 200927
19 199025
20 200225

About María E. Martinez

María E. Martinez is a scholar working on Molecular Biology, Genetics, Nephrology, Agronomy and Crop Science and Rheumatology, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (9 papers), Parathyroid Disorders and Treatments (8 papers), Genetic and phenotypic traits in livestock (7 papers), Electrolyte and hormonal disorders (5 papers), Vitamin D Research Studies (4 papers), Bone health and treatments (4 papers), Reproductive Physiology in Livestock (4 papers) and Bone Metabolism and Diseases (4 papers). The work is most often cited by research in Nephrology (247 citations), Agronomy and Crop Science (257 citations), Biochemistry (67 citations), Rheumatology (161 citations) and Orthopedics and Sports Medicine (87 citations). María E. Martinez has collaborated with scholars based in Spain, Chile and United States. Frequent co-authors include M. L. Tejido, M. D. Carro, María José Ranilla, Paola Poirrier, S. Ramos, Lorena Jorquera, Rolando Chamy, Pedro Esbrit, Cristina Saro and Dirk Prüfer. Their work appears in journals such as Journal of Dairy Science, Gastroenterology, Nephrology Dialysis Transplantation, European Journal of Pharmacology and Peritoneal Dialysis International.

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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