Luis Macías‐Kauffer

22 papers receiving 494 citations

Peers

Luis Macías‐Kauffer
Comparison fields: 5 of 74
  • Physiology 128
  • Nephrology 32
  • Biological Psychiatry 10
  • Epidemiology 115
  • Molecular Biology 251
Replace Hugo Villamil‐Ramírez with:
Hugo Villamil‐Ramírez Mexico
Shireen Mohammad United Kingdom
Krishna Seshadri India
Renato Parente Italy
Julian Singer Australia
Jennifer Kirsop United States
Xinfeng Yan China
Martina Goffredo Italy
Mohammed A. I. Al-Obaide United States
Luis Macías‐Kauffer relative to Hugo Villamil‐Ramírez Mexico Hugo Villamil‐Ramírez's profile →
Citations per field
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Hugo Villamil‐Ramírez · 1×
Citations per year

Countries citing papers authored by Luis Macías‐Kauffer

Since Specialization
Citations

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

Fields of papers citing papers by Luis Macías‐Kauffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Macías‐Kauffer. 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 Luis Macías‐Kauffer. The network helps show where Luis Macías‐Kauffer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201778
2 201852
3 202049
4 201744
5 202043
6 201542
7 201937
8 201836
9 201826
10 202120
11 200819
12 202114
13 202112
14 20226
15 20196
16 20206
17 20224
18 20163
19
[Efficacy and impact of polymerase chain reaction in the diagnosis of extrapulmonary tuberculosis].
20033
20 20212

About Luis Macías‐Kauffer

Luis Macías‐Kauffer is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Epidemiology, Physiology and Genetics, having authored 23 papers that have together received 504 indexed citations. Recurring topics across this work include Gut microbiota and health (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Genetic Associations and Epidemiology (4 papers), Diet and metabolism studies (4 papers), Alcohol Consumption and Health Effects (3 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Epigenetics and DNA Methylation (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Physiology (128 citations), Nephrology (32 citations), Biological Psychiatry (10 citations), Epidemiology (115 citations) and Molecular Biology (251 citations). Luis Macías‐Kauffer has collaborated with scholars based in Mexico, United States and Guatemala. Frequent co-authors include Samuel Canizales‐Quinteros, Paola León‐Mimila, Hugo Villamil‐Ramírez, Sofía Morán‐Ramos, Blanca E. López-Contreras, Carlos A. Aguilar‐Salinas, Rafael Velázquez‐Cruz, Marcela Vela‐Amieva, Isabel Ibarra‐González and Jorge Salmerón. Their work appears in journals such as Nutrients, Experimental and Molecular Pathology, Scientific Reports, Archives of Medical Research and Frontiers in Genetics.

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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