Manuel Nava

739 citations
27 papers · 533 · h-index 14

Impact in

Papers in

Manuel Nava

26 papers receiving 512 citations

Peers

Manuel Nava
Comparison fields: 5 of 88
  • Biological Psychiatry 27
  • Endocrinology, Diabetes and Metabolism 136
  • Clinical Biochemistry 36
  • Behavioral Neuroscience 18
  • Physiology 107
Replace Ana Paula Bouças with:
Ana Paula Bouças Brazil
Biljana Bursać Serbia
Lucía García‐Guerra Spain
Mohammad Ali Takhshid Iran
Sangeeta Ghosh United States
Dorothea S. Rosenberger United States
Paulina Salazar Chile
Wenshan Lv China
Liping Xu China
Caroline Daneault Canada
Manuel Nava relative to Ana Paula Bouças Brazil Ana Paula Bouças's profile →
Citations per field
00.5×12×
Ana Paula Bouças · 1×
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 2018139
2 202165
3 201943
4 202142
5 202128
6 202023
7 202121
8 196220
9 202218
10 202117
11 202115
12 201815
13 202013
14
Evaluation of success in the seeding of round nuclei in Pteria sterna (Gould 1851), a new species in pearl culture
200013
15 202212
16 201911
17 202111
18 20206
19 20226
20 19994

About Manuel Nava

Manuel Nava is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Physiology and Nutrition and Dietetics, having authored 27 papers that have together received 533 indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (4 papers), Diabetes Treatment and Management (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Fatty Acid Research and Health (2 papers), Nutritional Studies and Diet (2 papers), Cholesterol and Lipid Metabolism (2 papers), Cardiac Health and Mental Health (2 papers) and Neurological Disorders and Treatments (2 papers). The work is most often cited by research in Biological Psychiatry (27 citations), Endocrinology, Diabetes and Metabolism (136 citations), Clinical Biochemistry (36 citations), Behavioral Neuroscience (18 citations) and Physiology (107 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, Luis Carlos Olivar, María Sofía Martínez, Maricarmen Chacín and Manuel Velasco. Their work appears in journals such as International Journal of Molecular Sciences, International Journal of Environmental Research and Public Health, Current Diabetes Reviews, Biomedicines and Frontiers in Endocrinology.

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.

Explore authors with similar magnitude of impact