M.T. Lozano

752 total citations
35 papers, 630 citations indexed

About

M.T. Lozano is a scholar working on Surgery, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, M.T. Lozano has authored 35 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 13 papers in Cellular and Molecular Neuroscience and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in M.T. Lozano's work include Neuropeptides and Animal Physiology (12 papers), Non-Invasive Vital Sign Monitoring (9 papers) and Regulation of Appetite and Obesity (9 papers). M.T. Lozano is often cited by papers focused on Neuropeptides and Animal Physiology (12 papers), Non-Invasive Vital Sign Monitoring (9 papers) and Regulation of Appetite and Obesity (9 papers). M.T. Lozano collaborates with scholars based in Spain, United States and Netherlands. M.T. Lozano's co-authors include B. Agulleiro, M.T. Elbal, M.E. Abad, Alberto Hernando, Eduardo Gil, Alicia Moreno-Ortega, Jesús Lázaro, Michel Devy, J.J. Taverne-Thiele and J.H.W.M. Rombout and has published in prestigious journals such as Frontiers in Immunology, Sensors and Aquaculture.

In The Last Decade

M.T. Lozano

31 papers receiving 607 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M.T. Lozano Spain 17 248 156 156 145 135 35 630
Satoshi Kasagi Japan 20 89 0.4× 49 0.3× 69 0.4× 26 0.2× 93 0.7× 57 932
Martin Sage United States 19 383 1.5× 52 0.3× 114 0.7× 370 2.6× 69 0.5× 47 843
P. A. Scapolo Italy 14 241 1.0× 34 0.2× 58 0.4× 28 0.2× 59 0.4× 32 912
Tsubasa Sakai Japan 18 54 0.2× 74 0.5× 41 0.3× 65 0.4× 307 2.3× 35 652
S A White United States 8 37 0.1× 42 0.3× 42 0.3× 178 1.2× 31 0.2× 9 538
Akira Tsukada Japan 19 27 0.1× 27 0.2× 58 0.4× 52 0.4× 102 0.8× 77 980
Alexandra Maria Sänger Austria 20 159 0.6× 187 1.2× 50 0.3× 15 0.1× 29 0.2× 43 1.0k
U. Muglia Italy 13 169 0.7× 37 0.2× 67 0.4× 115 0.8× 51 0.4× 38 392
Stefani C. Eames United States 7 47 0.2× 155 1.0× 71 0.5× 34 0.2× 36 0.3× 7 539
P. Sesma Spain 16 78 0.3× 95 0.6× 65 0.4× 8 0.1× 256 1.9× 51 696

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-authorship network of co-authors of M.T. Lozano

This figure shows the co-authorship network connecting the top 25 collaborators of M.T. Lozano. A scholar is included among the top collaborators of M.T. Lozano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M.T. Lozano. M.T. Lozano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hernando, Alberto, et al.. (2024). Heart Rate Variability to Automatically Identify Hyperbaric States Considering Respiratory Component. Sensors. 24(2). 447–447. 1 indexed citations
2.
Sánchez, Carlos, Alberto Hernando, Juan Bolea, et al.. (2023). Enhancing Safety in Hyperbaric Environments through Analysis of Autonomic Nervous System Responses: A Comparison of Dry and Humid Conditions. Sensors. 23(11). 5289–5289. 1 indexed citations
3.
Chaves-Pozo, Elena, et al.. (2019). Fish Granzyme A Shows a Greater Role Than Granzyme B in Fish Innate Cell-Mediated Cytotoxicity. Frontiers in Immunology. 10. 2579–2579. 27 indexed citations
4.
Hernando, Alberto, et al.. (2019). Finger and forehead PPG signal comparison for respiratory rate estimation. Physiological Measurement. 40(9). 95007–95007. 21 indexed citations
5.
Sánchez, Carlos, et al.. (2017). Autonomic nervous system non-stationary response to controlled changes in barometric pressure. Computing in Cardiology.
6.
Lozano, M.T., et al.. (2006). Ontogeny of the endocrine pancreatic cells of the gilthead sea bream, Sparus aurata (Teleost). General and Comparative Endocrinology. 148(2). 213–226. 4 indexed citations
7.
Elbal, M.T., et al.. (2004). Development of the digestive tract of gilthead sea bream (Sparus aurata L.). Light and electron microscopic studies. Aquaculture. 234(1-4). 215–238. 111 indexed citations
8.
Lozano, M.T., et al.. (2001). Development of the digestive tract of sea bass ( Dicentrarchus labrax L). Light and electron microscopic studies. Anatomy and Embryology. 204(1). 39–57. 77 indexed citations
9.
Lozano, M.T., et al.. (2000). Identification of the Pancreatic Endocrine Cells of Pseudemys scripta elegans by Immunogold Labeling. General and Comparative Endocrinology. 117(2). 163–172. 7 indexed citations
10.
Lozano, M.T., et al.. (1999). Endocrine Pancreatic Cells fromXenopus laevis:Light and Electron Microscopic Studies. General and Comparative Endocrinology. 114(2). 191–205. 7 indexed citations
11.
Lozano, M.T., et al.. (1998). Glucagon- and NPY-Related Peptide-Immunoreactive Cells in the Gut of Sea Bass (Dicentrarchus labraxL.): A Light and Electron Microscopic Study. General and Comparative Endocrinology. 112(1). 26–37. 6 indexed citations
12.
Lozano, M.T., et al.. (1994). Ontogeny of the endocrine cells of the intestine and rectum of sea bass (Dicentrarchus labrax L.): an ultrastructural study. Anatomy and Embryology. 190(6). 529–39. 7 indexed citations
13.
14.
Mendiola, P., Jorge de Assis Costa, M.T. Lozano, & B. Agulleiro. (1991). Histochemical determination of muscle fiber types in locomotor muscles of anuran amphibians. Comparative Biochemistry and Physiology Part A Physiology. 99(3). 365–369. 10 indexed citations
15.
Lozano, M.T., et al.. (1991). Pancreatic endocrine cells in sea bass (Dicentrarchus labrax L.). General and Comparative Endocrinology. 81(2). 187–197. 22 indexed citations
16.
Lozano, M.T., et al.. (1991). Pancreatic endocrine cells in sea bass (Dicentrarchus labrax L.). General and Comparative Endocrinology. 81(2). 198–206. 21 indexed citations
17.
Abad, M.E., M.T. Lozano, J.J. Taverne-Thiele, & J.H.W.M. Rombout. (1990). Identification of two somatostatin-immunoreactive cell types in the principal islet of Sparus auratus L. (Teleostei) by immunogold staining. General and Comparative Endocrinology. 77(1). 1–8. 16 indexed citations
18.
Lozano, M.T., et al.. (1989). Comparative study on the endocrine cells in the pancreas of Mauremys caspica (Chelonia) in Summer and Winter. General and Comparative Endocrinology. 75(3). 363–375. 11 indexed citations
19.
Lozano, M.T., et al.. (1988). Immunocytochemical and ultrastructural characterization of the cell types in the adenohypophysis of Sparus aurata L. (Teleost). General and Comparative Endocrinology. 72(2). 209–225. 46 indexed citations
20.
Elbal, M.T., M.T. Lozano, & B. Agulleiro. (1988). The endocrine cells in the gut of Mugil saliens Risso, 1810 (Teleostei): An immunocytochemical and ultrastructural study. General and Comparative Endocrinology. 70(2). 231–246. 29 indexed citations

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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