M.V. Martín

3.6k citations
83 papers · 3.0k · h-index 29

Impact in

Papers in

M.V. Martín

79 papers receiving 2.9k citations

Peers

M.V. Martín
Comparison fields: 5 of 141
  • Acoustics and Ultrasonics 105
  • Physiology 258
  • Aquatic Science 356
  • Microbiology 30
  • Applied Microbiology and Biotechnology 52
Replace Seung‐Hae Kwon with:
Seung‐Hae Kwon South Korea
Masatoshi Inoue Japan
Zhiyuan Li China
Henry Rodriguez United States
Nobuaki Takahashi Japan
Zoya Leonenko Canada
Makoto Ito Japan
Sándor Lovas United States
Yajie Liang United States
Masahiro Kondo Japan
M.V. Martín relative to Seung‐Hae Kwon South Korea Seung‐Hae Kwon's profile →
Citations per field
00.5×10×20×30×
Seung‐Hae Kwon · 1×
Citations per year

Countries citing papers authored by M.V. Martín

Since Specialization
Citations

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

Fields of papers citing papers by M.V. Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011303
2 2010227
3 2011147
4 2011136
5 2012130
6 2010122
7 2014116
8 201196
9 200491
10 199885
11 200678
12 201268
13 200965
14 199763
15 200961
16 201261
17 200761
18 201458
19 200948
20 201146

About M.V. Martín

M.V. Martín is a scholar working on Materials Chemistry, Aquatic Science, Ecology, Evolution, Behavior and Systematics, Physiology and Molecular Biology, having authored 83 papers that have together received 3.0k indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (14 papers), Cephalopods and Marine Biology (12 papers), Reproductive biology and impacts on aquatic species (11 papers), Photochemistry and Electron Transfer Studies (9 papers), Fish Ecology and Management Studies (8 papers), Veterinary Pharmacology and Anesthesia (8 papers), Luminescence and Fluorescent Materials (8 papers) and Lipid Membrane Structure and Behavior (7 papers). The work is most often cited by research in Acoustics and Ultrasonics (105 citations), Physiology (258 citations), Aquatic Science (356 citations), Microbiology (30 citations) and Applied Microbiology and Biotechnology (52 citations). M.V. Martín has collaborated with scholars based in Spain, United Kingdom and Portugal. Frequent co-authors include Á. Costela, Inmaculada García‐Moreno, Mario Dı́az, Isidró Ferrer, Noemí Fabelo, Raquel Marín, Gabriel Santpere, R. Sastre, Jorge Bañuelos and Íñigo López‐Arbeloa. Their work appears in journals such as BDJ, Aquaculture, The Journal of Physical Chemistry C, Journal of Dentistry and Aquaculture Nutrition.

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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