National Institute on Population Medical Genetics

15.6k citations
577 papers ·

Impact in

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

Papers in

    • Lysosomal Storage Disorders Research 197
    • Glycogen Storage Diseases and Myoclonus 64

National Institute on Population Medical Genetics

536 papers receiving 15.5k citations

Peers

National Institute on Population Medical Genetics
Comparison fields: 5 of 197
  • Physiology 6.2k
  • Radiation 1.1k
  • Rheumatology 2.0k
  • Biological Psychiatry 271
  • Psychiatry and Mental health 1.5k
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National Institute on Population Medical Genetics relative to Hospital Mãe de Deus Brazil Hospital Mãe de Deus's profile →
Citations per field
00.5×50×100×143.4×
Hospital Mãe de Deus · 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 577 papers, which have received a total of 15.6k indexed citations . Scholars at this organization have produced 215 papers in Physiology, 86 papers in Rheumatology, 31 papers in Clinical Biochemistry, 47 papers in Hematology and 8 papers in Biological Psychiatry on the topics of Lysosomal Storage Disorders Research (197 papers), Trypanosoma species research and implications (77 papers), Glycogen Storage Diseases and Myoclonus (64 papers), Carbohydrate Chemistry and Synthesis (39 papers), Mitochondrial Function and Pathology (30 papers), Metabolism and Genetic Disorders (30 papers), Cleft Lip and Palate Research (23 papers) and Autoimmune and Inflammatory Disorders Research (22 papers). Their work is cited by papers focused on Physiology (6.2k citations), Radiation (1.1k citations), Rheumatology (2.0k citations), Biological Psychiatry (271 citations) and Psychiatry and Mental health (1.5k 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, PLoS ONE and Clinical Genetics. 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, Satoshi Chiba, Nobuyuki Iwamoto and Osamu Iwamoto.

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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