Bita Hashemi

560 citations
7 papers · 420 · h-index 4

Impact in

  • Genetics top 10%
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Genetics and Neurodevelopmental Disorders
    • Genetic Syndromes and Imprinting
    • Epilepsy research and treatment

Papers in

Bita Hashemi

7 papers receiving 402 citations

Peers

Bita Hashemi
Comparison fields: 5 of 31
  • Genetics 231
  • Psychiatry and Mental health 30
  • Pediatrics, Perinatology and Child Health 12
  • Clinical Biochemistry 3
  • Cognitive Neuroscience 11
Replace Concetta Simona Perrotta with:
Concetta Simona Perrotta Italy
Elaine Maria Pereira United States
Sven Parkel Estonia
Resham Ejaz Canada
Carla Sustek D’Angelo Brazil
Hugo Creeth United Kingdom
Meron Azage United States
Kristine Bachman United States
Yumi Enomoto Japan
Tamika Malone United States
Bita Hashemi relative to Concetta Simona Perrotta Italy Concetta Simona Perrotta's profile →
Citations per field
00.5×2×3.3×
Concetta Simona Perrotta · 1×
Citations per year

Countries citing papers authored by Bita Hashemi

Since Specialization
Citations

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

Fields of papers citing papers by Bita Hashemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2016286
2 201476
3 201546
4 20256
5 20083
6 20232
7 20151

About Bita Hashemi

Bita Hashemi is a scholar working on Genetics, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 420 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (2 papers), Genomic variations and chromosomal abnormalities (1 paper) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Genetics (231 citations), Psychiatry and Mental health (30 citations), Pediatrics, Perinatology and Child Health (12 citations), Clinical Biochemistry (3 citations) and Cognitive Neuroscience (11 citations). Bita Hashemi has collaborated with scholars based in Canada, United Kingdom and Iran. Frequent co-authors include Joyce So, Dimitri James Stavropoulos, Bob Argiropoulos, Anath Christopher Lionel, Rachel Laframboise, Frédérique Tihy, Joo Wook Ahn, Karine Emmanuelle Boisvert, Christian R. Marshall and Andrea K. Vaags. Their work appears in journals such as Genetics in Medicine, Journal of Neurodevelopmental Disorders, npj Genomic Medicine, American Journal of Medical Genetics Part A and Pakistan Journal of Biological Sciences.

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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