M.T. Lozano

33 papers receiving 616 citations

Peers

M.T. Lozano
Comparison fields: 5 of 78
  • Aquatic Science 245
  • Physiology 144
  • Endocrine and Autonomic Systems 101
  • Immunology 156
  • Cellular and Molecular Neuroscience 133
Replace Maho Ogoshi with:
Maho Ogoshi Japan
Martin Sage United States
Satoshi Kasagi Japan
Roger deRoos United States
B. Agulleiro Spain
Yoshihiko Oota Japan
P. Ceccarelli Italy
U. Muglia Italy
Wendy K. W. Ko Hong Kong
Y. Hasegawa Japan
M.T. Lozano relative to Maho Ogoshi Japan Maho Ogoshi's profile →
Citations per field
00.5×3.4×
Maho Ogoshi · 1×
Citations per year

Countries citing papers authored by M.T. Lozano

Since Specialization
Citations

This map shows the geographic impact of M.T. Lozano'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.T. Lozano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Lozano more than expected).

Fields of papers citing papers by M.T. Lozano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside M.T. Lozano, 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.T. Lozano Line = papers co-authored together M.T. Lozano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004112
2 200177
3 198847
4 199431
5 198829
6 201829
7 201928
8 199122
9 199322
10 201921
11 199121
12 198719
13 200319
14 199217
15 201817
16 199016
17 201716
18 199413
19 198911
20 199410

About M.T. Lozano

M.T. Lozano is a scholar working on Cellular and Molecular Neuroscience, Surgery, Endocrine and Autonomic Systems, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 638 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Non-Invasive Vital Sign Monitoring (9 papers), Regulation of Appetite and Obesity (9 papers), Pancreatic function and diabetes (9 papers), Heart Rate Variability and Autonomic Control (8 papers), ECG Monitoring and Analysis (7 papers), Aquaculture disease management and microbiota (6 papers) and Aquaculture Nutrition and Growth (6 papers). The work is most often cited by research in Aquatic Science (245 citations), Physiology (144 citations), Endocrine and Autonomic Systems (101 citations), Immunology (156 citations) and Cellular and Molecular Neuroscience (133 citations). M.T. Lozano has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include B. Agulleiro, M.T. Elbal, M.E. Abad, Alberto Hernando, Alicia Moreno-Ortega, Eduardo Gil, Jesús Lázaro, Michel Devy, Elena Chaves-Pozo and J.J. Taverne-Thiele. Their work appears in journals such as General and Comparative Endocrinology, Cell and Tissue Research, IEEE Journal of Biomedical and Health Informatics, Sensors and Frontiers in Immunology.

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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