M. Payá

38 papers receiving 2.0k citations

Peers

M. Payá
Comparison fields: 5 of 105
  • Biochemistry 419
  • Pharmacology 268
  • Endocrinology, Diabetes and Metabolism 462
  • Complementary and alternative medicine 175
  • Toxicology 71
Replace Kuk Hyun Shin with:
Kuk Hyun Shin South Korea
Carol S. Fink United States
Md. Nurul Islam Bangladesh
Song‐Hae Bok South Korea
R Kuttan India
N.P. Das Singapore
Takahiro Inakuma Japan
Yeon Sil Lee South Korea
Minpei Kuroda Japan
Naokata Morita Japan
M. Payá relative to Kuk Hyun Shin South Korea Kuk Hyun Shin's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Payá

Since Specialization
Citations

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

Fields of papers citing papers by M. Payá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989371
2 1990304
3 1991242
4 2000187
5 1995138
6 199489
7 198889
8 199877
9
Antihyperglycemic and insulin-releasing effects of beta-sitosterol 3-beta-D-glucoside and its aglycone, beta-sitosterol.
198977
10 200572
11 199959
12 199754
13 199538
14 199436
15 199333
16 200732
17
Effects of coumarin derivatives on superoxide anion generation.
199331
18 198729
19 199827
20 199126

About M. Payá

M. Payá is a scholar working on Molecular Biology, Plant Science, Pharmacology, Organic Chemistry and Surgery, having authored 38 papers that have together received 2.2k indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (7 papers), Natural product bioactivities and synthesis (5 papers), Natural Antidiabetic Agents Studies (4 papers), Marine Sponges and Natural Products (4 papers), Phytochemicals and Antioxidant Activities (4 papers), Inflammatory mediators and NSAID effects (4 papers), Nuts composition and effects (3 papers) and Venomous Animal Envenomation and Studies (3 papers). The work is most often cited by research in Biochemistry (419 citations), Pharmacology (268 citations), Endocrinology, Diabetes and Metabolism (462 citations), Complementary and alternative medicine (175 citations) and Toxicology (71 citations). M. Payá has collaborated with scholars based in Spain, Italy and India. Frequent co-authors include María José Alcaraz, A. Villar, M. Dolores Ivorra, María Carmen Terencio, José Luis Rı́os, María‐Jesús Sanz, Marı́a Luisa Ferrándiz, Amalia Úbeda, M.J. Alcaraz and Inmaculada Posadas. Their work appears in journals such as Planta Medica, Life Sciences, Journal of Ethnopharmacology, Phytotherapy Research and Journal of Natural Products.

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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