Miguel Chin-Chan

770 citations
9 papers · 574 indexed · 1 hit paper · h-index 6

Miguel Chin-Chan

8 papers receiving 565 citations

Hit Papers

Environmental pollutants as risk factors for neurodegener...20152026201820222015100200300400500

Peers

Miguel Chin-Chan
Comparison fields: 5 of 98
  • Health, Toxicology and Mutagenesis 203
  • Molecular Biology 162
  • Physiology 124
  • Nutrition and Dietetics 103
  • Plant Science 81
Replace Juliana Navarro-Yepes with:
Juliana Navarro-Yepes United States
Carla Garza-Lombó Mexico
Liping Pei China
Alessandra Antunes dos Santos Brazil
Javier del Pino Spain
David P. Cox United States
Fabiano Mendes de Córdova Brazil
Concepción Nava-Ruíz Mexico
Fang Zhao China
Miguel Chin-Chan relative to Juliana Navarro-Yepes United States Juliana Navarro-Yepes's profile →
Citations per field
00.5×1.5×
Juliana Navarro-Yepes · 1×
Citations per year

Countries citing papers authored by Miguel Chin-Chan

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Chin-Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel Chin-Chan. 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 Miguel Chin-Chan. The network helps show where Miguel Chin-Chan may publish in the future.

Co-authorship network of co-authors of Miguel Chin-Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Chin-Chan. A scholar is included among the top collaborators of Miguel Chin-Chan 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 Miguel Chin-Chan. Miguel Chin-Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 11
2 0
3 8
4 2
5 22
6 3
7 8
8 14
9
Environmental pollutants as risk factors for neurodegenerative disorders: Alzheimer and Parkinson diseasesbreakdown →
506

About Miguel Chin-Chan

Miguel Chin-Chan is a scholar working on Health, Toxicology and Mutagenesis, Nutrition and Dietetics and Physiology, having authored 9 papers that have together received 574 indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (5 papers), Alzheimer's disease research and treatments (3 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (203 citations), Biological Psychiatry (31 citations) and Aging (16 citations). Miguel Chin-Chan has collaborated with scholars based in Mexico, United States and Germany. Frequent co-authors include Betzabet Quintanilla‐Vega, Juliana Navarro-Yepes, José Segovia, Isabel Alvarado-Cruz, David W. Rodgers, Louis B. Hersh, Liliana Quintanar, K. Martin Chow, Sergio Montes and Maria Ermolaeva. Their work appears in journals such as European Journal of Pharmacology, Toxicological Sciences and Frontiers in Cellular Neuroscience.

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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