Manuel Nava

709 citations
27 papers · 489 · h-index 13

Impact in

Papers in

Manuel Nava

26 papers receiving 473 citations

Peers

Manuel Nava
Comparison fields: 5 of 90
  • Biological Psychiatry 26
  • Endocrinology, Diabetes and Metabolism 149
  • Behavioral Neuroscience 22
  • Clinical Biochemistry 39
  • Physiology 120
Replace Ana Paula Bouças with:
Ana Paula Bouças Brazil
Wenshan Lv China
Paulina Salazar Chile
Karolin Yanar Türkiye
Caroline Daneault Canada
Liping Xu China
Maggie S. Burhans United States
Yukiko Toyofuku Japan
Alecia Seliga United States
Justyna Strycharz Poland
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Citations per field
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Citations per year

Countries citing papers authored by Manuel Nava

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Nava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018129
2 202162
3 202140
4 201940
5 202127
6 202021
7 202120
8 202117
9 196217
10 202215
11 201815
12 202114
13 202012
14
Evaluation of success in the seeding of round nuclei in Pteria sterna (Gould 1851), a new species in pearl culture
200011
15 202210
16 20219
17 20199
18 20206
19 20225
20 19994

About Manuel Nava

Manuel Nava is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Epidemiology and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 489 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Natural Antidiabetic Agents Studies (4 papers), Pancreatic function and diabetes (3 papers), Diabetes Treatment and Management (3 papers), Health and Lifestyle Studies (2 papers), Nutritional Studies and Diet (2 papers), Fatty Acid Research and Health (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Biological Psychiatry (26 citations), Endocrinology, Diabetes and Metabolism (149 citations), Behavioral Neuroscience (22 citations), Clinical Biochemistry (39 citations) and Physiology (120 citations). Manuel Nava has collaborated with scholars based in Venezuela, Colombia and United States. Frequent co-authors include Valmore Bermúdez, Joselyn Rojas, Milagros Rojas, Juan Salazar, Ángel Ortega, Mervin Chávez-Castillo, María Sofía Martínez, Luis Carlos Olivar, Manuel Velasco and Maricarmen Chacín. Their work appears in journals such as International Journal of Molecular Sciences, Current Neuropharmacology, International Journal of Environmental Research and Public Health, Endangered Species Research and Biomedicines.

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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