María G. Cháves

819 total citations
34 papers, 629 citations indexed

About

María G. Cháves is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Food Science. According to data from OpenAlex, María G. Cháves has authored 34 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Health, Environmental and Occupational Health, 13 papers in Reproductive Medicine and 11 papers in Food Science. Recurrent topics in María G. Cháves's work include Reproductive Biology and Fertility (14 papers), Sperm and Testicular Function (11 papers) and Proteins in Food Systems (10 papers). María G. Cháves is often cited by papers focused on Reproductive Biology and Fertility (14 papers), Sperm and Testicular Function (11 papers) and Proteins in Food Systems (10 papers). María G. Cháves collaborates with scholars based in Argentina, Spain and Brazil. María G. Cháves's co-authors include María Victoria Avanza, A. Agüero, Marcelo Miragaya, Marı́a Cristina Añón, Deborah Margarita Neild, Felicidad Ronda, Marina Villanueva, S. Giuliano, M. Gambarotta and Alejandra Viviana Quiroga and has published in prestigious journals such as Food Hydrocolloids, Food Research International and Journal of Food Engineering.

In The Last Decade

María G. Cháves

33 papers receiving 602 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María G. Cháves Argentina 17 231 228 219 178 162 34 629
M. El-Harairy Egypt 12 256 1.1× 63 0.3× 366 1.7× 84 0.5× 155 1.0× 42 556
Clara Malo Spain 15 397 1.7× 89 0.4× 500 2.3× 91 0.5× 15 0.1× 37 626
Rahul Katiyar India 13 142 0.6× 20 0.1× 181 0.8× 127 0.7× 71 0.4× 81 447
A.E.B. Zeidan Egypt 5 139 0.6× 70 0.3× 199 0.9× 71 0.4× 76 0.5× 16 307
Larbi Allai Morocco 11 200 0.9× 52 0.2× 252 1.2× 62 0.3× 39 0.2× 30 343
Recai Kulaksız Türkiye 8 193 0.8× 21 0.1× 265 1.2× 94 0.5× 43 0.3× 31 377
Mahdi Khodaei‐Motlagh Iran 10 172 0.7× 28 0.1× 215 1.0× 84 0.5× 62 0.4× 42 429
Gamal M. K. Mehaisen Egypt 16 179 0.8× 43 0.2× 187 0.9× 38 0.2× 41 0.3× 32 645
Hossein Janmohammadi Iran 10 51 0.2× 70 0.3× 65 0.3× 68 0.4× 99 0.6× 60 389
M.A. Garcia Spain 11 103 0.4× 55 0.2× 123 0.6× 49 0.3× 37 0.2× 14 578

Countries citing papers authored by María G. Cháves

Since Specialization
Citations

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

Fields of papers citing papers by María G. Cháves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María G. Cháves. 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 María G. Cháves. The network helps show where María G. Cháves may publish in the future.

Co-authorship network of co-authors of María G. Cháves

This figure shows the co-authorship network connecting the top 25 collaborators of María G. Cháves. A scholar is included among the top collaborators of María G. Cháves 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 María G. Cháves. María G. Cháves 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.
Cháves, María G., et al.. (2025). Environmentally friendly recovery of proteins and phenolic compounds from defatted rice bran. Food Research International. 222(Pt 2). 117799–117799.
2.
Ehman, Nanci, et al.. (2024). Progress and potentialities in wood extractives-based materials for active food packaging applications. Food Bioscience. 60. 104489–104489. 3 indexed citations
3.
Cháves, María G., Juan J. Calvete, David Roque Hernández, et al.. (2024). Evaluation of a nanostructured CpG-ODN/ascorbyl palmitate as a safe and effective adjuvant for anticrotalic PLA2 serum. Transactions of the Royal Society of Tropical Medicine and Hygiene. 119(9). 1070–1083. 2 indexed citations
4.
Cháves, María G., et al.. (2023). Thermal Gelation of Proteins from Cajanus cajan Influenced by pH and Ionic Strength. Plant Foods for Human Nutrition. 78(3). 574–583. 8 indexed citations
5.
Cháves, María G., et al.. (2021). Comparative Study of Structural and Physicochemical Properties of Pigeon Pea (Cajanus cajan L.) Protein Isolates and its Major Protein Fractions. Plant Foods for Human Nutrition. 76(1). 37–45. 15 indexed citations
6.
Cháves, María G., et al.. (2020). Uterine and Corpus Luteum Blood Flow Evaluation Prior to Uterine Flushing in Llama Embryo Donors. Frontiers in Veterinary Science. 7. 597960–597960. 2 indexed citations
7.
Giuliano, S., María G. Cháves, Deborah Margarita Neild, et al.. (2018). Seminal plasma affects the survival rate and motility pattern of raw llama spermatozoa. Animal Reproduction Science. 192. 99–106. 19 indexed citations
8.
9.
Avanza, María Victoria, et al.. (2013). Gelation, thermal and pasting properties of pigeon pea (Cajanus cajan L.), dolichos bean (Dolichos lablab L.) and jack bean (Canavalia ensiformis) flours. Journal of Food Engineering. 119(1). 65–71. 26 indexed citations
10.
Gómez‐Huelgas, Ricardo, María D. López-Carmona, Sergio Jansen‐Chaparro, et al.. (2013). Assessment of an educational intervention in the management of non-critical inpatient glycemic control. Acta Diabetologica. 51(3). 377–383. 9 indexed citations
11.
Giuliano, S., María G. Cháves, M. Gambarotta, et al.. (2012). Development of an artificial insemination protocol in llamas using cooled semen. Animal Reproduction Science. 131(3-4). 204–210. 25 indexed citations
12.
Carretero, María Ignacia, Marcelo Miragaya, María G. Cháves, M. Gambarotta, & A. Agüero. (2009). Embryo production in superstimulated llamas pre-treated to inhibit follicular growth. Small Ruminant Research. 88(1). 32–37. 10 indexed citations
13.
Herrera, Carolina, S. Giuliano, Marcelo Miragaya, et al.. (2007). In vitro production of llama (Lama glama) embryos by IVF and ICSI with fresh semen. Animal Reproduction Science. 109(1-4). 298–308. 40 indexed citations
14.
Miragaya, Marcelo, et al.. (2003). Follicular activity and hormonal secretory profile in vicuna (Vicugna vicugna). Theriogenology. 61(4). 663–671. 21 indexed citations
15.
Cháves, María G., et al.. (2002). Ovarian follicular wave pattern and the effect of exogenous progesterone on follicular activity in non-mated llamas. Animal Reproduction Science. 69(1-2). 37–46. 65 indexed citations
16.
Neild, Deborah Margarita, María G. Cháves, M. Flores, et al.. (2000). The HOS test and its relationship to fertility in the stallion. Andrologia. 32(6). 351–355. 39 indexed citations
17.
Alberio, R.H., et al.. (1998). Evaluation of two treatments in superovulation of mares. Theriogenology. 49(7). 1257–1264. 20 indexed citations
18.
Cháves, María G., et al.. (1997). Cryopreservation of equine embryos by two vitrification methods. Theriogenology. 47(1). 388–388. 3 indexed citations
19.
Cháves, María G., et al.. (1997). Ultrastructural and biochemical detection of biotin and biotinylated polypeptides in Schistosoma mansoni. Brazilian Journal of Medical and Biological Research. 30(7). 837–842. 4 indexed citations
20.
Dalvit, Gabriel, Marcelo Miragaya, María G. Cháves, & M.T. Beconi. (1995). Energy requirement of bovine spermatozoa for in vitro capacitation. Theriogenology. 44(7). 1051–1058. 5 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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