Mitchel Pariani

694 citations
13 papers · 349 · h-index 9

Impact in

    • Connective tissue disorders research
    • Genomics and Rare Diseases
    • Genetics and Neurodevelopmental Disorders
    • BRCA gene mutations in cancer
    • Genomic variations and chromosomal abnormalities

Papers in

    • Connective tissue disorders research 5
    • BRCA gene mutations in cancer 2
    • Genomics and Rare Diseases 2

Mitchel Pariani

13 papers receiving 336 citations

Peers

Mitchel Pariani
Comparison fields: 5 of 63
  • Genetics 167
  • Health Informatics 6
  • Developmental Biology 9
  • Neurology 42
  • Health Information Management 12
Replace Jiřina Zapletalová with:
Jiřina Zapletalová Czechia
Christopher Chun Yu Mak Hong Kong
G. Simonin France
Roland Pfaeffle Germany
Giorgio Filippi Italy
G. Fekete Hungary
Sherin Shaaban United States
Heraldo Mendes Garmes Brazil
Marion Gérard‐Blanluet France
Jamal Ghoumid France
Mitchel Pariani relative to Jiřina Zapletalová Czechia Jiřina Zapletalová's profile →
Citations per field
00.5×3.4×
Jiřina Zapletalová · 1×
Citations per year

Countries citing papers authored by Mitchel Pariani

Since Specialization
Citations

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

Fields of papers citing papers by Mitchel Pariani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201977
2 200970
3 201257
4 201737
5 201229
6 201922
7 201018
8 202016
9 201210
10 20198
11 20142
12 20222
13 20031

About Mitchel Pariani

Mitchel Pariani is a scholar working on Genetics, Surgery, Molecular Biology, Neurology and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 349 indexed citations. Recurring topics across this work include Connective tissue disorders research (5 papers), BRCA gene mutations in cancer (2 papers), Aortic aneurysm repair treatments (2 papers), Genomics and Rare Diseases (2 papers), Neurosurgical Procedures and Complications (2 papers), Aortic Disease and Treatment Approaches (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Liver Disease and Transplantation (1 paper). The work is most often cited by research in Genetics (167 citations), Health Informatics (6 citations), Developmental Biology (9 citations), Neurology (42 citations) and Health Information Management (12 citations). Mitchel Pariani has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include David L. Rimoin, Eyal Reinstein, John M. Graham, Andrew Spencer, Wouter I. Schievink, Serguei Bannykh, Andrea Hanson‐Kahn, Chloe M. Reuter, Thomas Sokol and Megan E. Grove. Their work appears in journals such as Genetics in Medicine, European Journal of Medical Genetics, Scientific Reports, npj Digital Medicine and European Journal of Human 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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