Melchor Sánchez-Martínez

1.3k citations
24 papers · 573 indexed · h-index 14

Melchor Sánchez-Martínez

23 papers receiving 564 citations

Peers

Melchor Sánchez-Martínez
Comparison fields: 5 of 90
  • Geriatrics and Gerontology 39
  • Aging 17
  • Biochemistry 26
  • Molecular Biology 286
  • Pharmacology 61
Replace J.C. Nwachukwu with:
J.C. Nwachukwu United States
Ornella Moltedo Italy
Carlos Sànchez‐Martìn Italy
Mario Fiore Italy
Ziwei Gu United States
Terry D. Oberley United States
Luís Arturo Baiza-Gutman Mexico
Shuhei Yamada Japan
Anjana Devi Tangutur India
Narçın Palavan-Ünsal Türkiye
Melchor Sánchez-Martínez relative to J.C. Nwachukwu United States J.C. Nwachukwu's profile →
Citations per field
00.5×3.4×
J.C. Nwachukwu · 1×
Citations per year

Countries citing papers authored by Melchor Sánchez-Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Melchor Sánchez-Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melchor Sánchez-Martínez. 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 Melchor Sánchez-Martínez. The network helps show where Melchor Sánchez-Martínez may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20226
3 202020
4 20202
5 201925
6 201930
7 201917
8 201864
9 2018102
10 201859
11 201847
12 201816
13 201741
14 20172
15 20175
16 201414
17 201412
18 201312
19 201313
20 201119

About Melchor Sánchez-Martínez

Melchor Sánchez-Martínez is a scholar working on Computational Theory and Mathematics, Pharmacology and Geriatrics and Gerontology, having authored 24 papers that have together received 573 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers), Epigenetics and DNA Methylation (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Spectroscopy and Quantum Chemical Studies (2 papers), MicroRNA in disease regulation (2 papers), Marine Sponges and Natural Products (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Geriatrics and Gerontology (39 citations), Aging (17 citations) and Biochemistry (26 citations). Melchor Sánchez-Martínez has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Alfons Nonell‐Canals, Laura Llorach-Parés, Javier A. Menéndez, Sara Verdura, Elisabet Cuyàs, Jorge Joven, Conxita Àvila, Joaquim Bosch‐Barrera, Ramón Crehuet and Begoña Martı́n-Castillo. Their work appears in journals such as Food and Chemical Toxicology, Marine Drugs, Carcinogenesis, The Journal of Physical Chemistry B and Journal of Medicinal Chemistry.

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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