National Institute on Population Medical Genetics

16.4k citations
621 papers ·

Impact in

  • Physiology top 10%
    • Lysosomal Storage Disorders Research
  • Radiation top 10%
    • Nuclear Physics and Applications

Papers in

National Institute on Population Medical Genetics

548 papers receiving 15.3k citations

Peers

National Institute on Population Medical Genetics
Comparison fields: 5 of 198
  • Physiology 6.2k
  • Radiation 1.2k
  • Rheumatology 1.5k
  • Clinical Biochemistry 643
  • Biological Psychiatry 217
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National Institute on Population Medical Genetics relative to Instituto Cardiovascular de Buenos Aires Argentina Instituto Cardiovascular de Buenos Aires's profile →
Citations per field
00.5×20×40×57.7×
Instituto Cardiovascular de Buenos Aires · 1×
Citations per year

Countries citing scholars working at National Institute on Population Medical Genetics

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at National Institute on Population Medical Genetics. 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 papers produced at National Institute on Population Medical Genetics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites National Institute on Population Medical Genetics more than expected).

Fields of papers published by authors at National Institute on Population Medical Genetics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with National Institute on Population Medical Genetics at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with National Institute on Population Medical Genetics at the time of their publication.

About National Institute on Population Medical Genetics

In recent decades, authors affiliated with National Institute on Population Medical Genetics have published 621 papers, which have received a total of 16.4k indexed citations . Scholars at this organization have produced 218 papers in Physiology, 32 papers in Clinical Biochemistry, 60 papers in Rheumatology, 41 papers in Hematology and 84 papers in Genetics on the topics of Lysosomal Storage Disorders Research (204 papers), Trypanosoma species research and implications (47 papers), Glycogen Storage Diseases and Myoclonus (42 papers), Metabolism and Genetic Disorders (31 papers), Carbohydrate Chemistry and Synthesis (25 papers), Genetic Neurodegenerative Diseases (24 papers), Mitochondrial Function and Pathology (23 papers) and Cleft Lip and Palate Research (19 papers). Their work is cited by papers focused on Physiology (6.2k citations), Radiation (1.2k citations), Rheumatology (1.5k citations), Clinical Biochemistry (643 citations) and Biological Psychiatry (217 citations). Authors at National Institute on Population Medical Genetics collaborate with scholars in Brazil, United States and United Kingdom and have published in prestigious journals including Molecular Genetics and Metabolism, Orphanet Journal of Rare Diseases, Journal of Inherited Metabolic Disease, Clinical Genetics and PLoS ONE. Some of National Institute on Population Medical Genetics's most productive authors include Roberto Giugliani, Rafael Roesler, Paul Harmatz, Nadja Schröder, Lavínia Schüler‐Faccini, Michael Beck, Flávio Kapczinski, So Kamada, Satoshi Chiba and Tōru Murata.

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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