A. Guzmán

803 citations
26 papers · 265 · h-index 10

Impact in

Papers in

A. Guzmán

25 papers receiving 260 citations

Peers

A. Guzmán
Comparison fields: 5 of 65
  • Reproductive Medicine 96
  • Agronomy and Crop Science 54
  • Endocrine and Autonomic Systems 27
  • Public Health, Environmental and Occupational Health 76
  • Genetics 47
Replace Kazunao Kuramoto with:
Kazunao Kuramoto Japan
Alberto Cebrian-Serrano Spain
Gongxue Jia China
Kemian Gou China
Marion Spitschak Germany
José V.V. Isola United States
Barbara Ambruosi Italy
C Hoang-Vu Germany
Fang‐Ting Kuo United States
Brandy L. Dozier United States
A. Guzmán relative to Kazunao Kuramoto Japan Kazunao Kuramoto's profile →
Citations per field
00.5×11.5×
Kazunao Kuramoto · 1×
Citations per year

Countries citing papers authored by A. Guzmán

Since Specialization
Citations

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

Fields of papers citing papers by A. Guzmán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201834
2 201634
3 202326
4 202125
5 201922
6 201518
7 201413
8 200813
9 201412
10 201610
11 20219
12 20188
13
Human urinary glycosaminoglycans as accurate method for ovulation detection.
19927
14 20126
15 20224
16 20164
17 20134
18 20163
19 20073
20 20173

About A. Guzmán

A. Guzmán is a scholar working on Molecular Biology, Agronomy and Crop Science, Reproductive Medicine, Public Health, Environmental and Occupational Health and Genetics, having authored 26 papers that have together received 265 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (11 papers), Reproductive Biology and Fertility (7 papers), Sphingolipid Metabolism and Signaling (6 papers), Ovarian function and disorders (4 papers), Genetic and phenotypic traits in livestock (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Sperm and Testicular Function (3 papers) and Ruminant Nutrition and Digestive Physiology (2 papers). The work is most often cited by research in Reproductive Medicine (96 citations), Agronomy and Crop Science (54 citations), Endocrine and Autonomic Systems (27 citations), Public Health, Environmental and Occupational Health (76 citations) and Genetics (47 citations). A. Guzmán has collaborated with scholars based in Mexico, Canada and United States. Frequent co-authors include Ana María Rosales‐Torres, Carlos G. Gutiérrez, Bruce D. Murphy, Juan Hernandez-Medrano, Héctor Castillo‐Juárez, Marta Romano, Germán David Mendoza Martínez, Francisco Fierro, Sergio Montes and Luz María Melgoza-Contreras. Their work appears in journals such as animal, Tropical Animal Health and Production, General and Comparative Endocrinology, Reproduction and Theriogenology.

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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