Michael T. Bashford

639 citations
8 papers · 430 · 1 hit paper · h-index 5

Impact in

Papers in

Michael T. Bashford

8 papers receiving 415 citations

Michael T. Bashford's Hit Papers

Screening for autosomal recessive and X-linked conditions during pregnancy and preconception: a practice resource of the American College of Medical Genetics and Genomics (ACMG) 2021 · 234 citations
2340+1+3Years since publication50100150200

Peers

Michael T. Bashford
Comparison fields: 5 of 70
  • Filtration and Separation 50
  • Obstetrics and Gynecology 43
  • Fluid Flow and Transfer Processes 37
  • Pediatrics, Perinatology and Child Health 95
  • Physical and Theoretical Chemistry 32
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Countries citing papers authored by Michael T. Bashford

Since Specialization
Citations

This map shows the geographic impact of Michael T. Bashford'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 Michael T. Bashford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Bashford more than expected).

Fields of papers citing papers by Michael T. Bashford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Bashford. 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 Michael T. Bashford. The network helps show where Michael T. Bashford may publish in the future.

Co-authors

The 24 scholars most cited alongside Michael T. Bashford, 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 Michael T. Bashford Line = papers co-authored together Michael T. Bashford links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Screening for autosomal recessive and X-linked conditions during pregnancy and preconception: a practice resource of the American College of Medical Genetics and Genomics (ACMG)
Hit paper breakdown →
2021234
2 1985109
3 200159
4 198614
5 20059
6 20132
7 20222
8 20201

About Michael T. Bashford

Michael T. Bashford is a scholar working on Genetics, Fluid Flow and Transfer Processes, Organic Chemistry, Surgery and Molecular Biology, having authored 8 papers that have together received 430 indexed citations. Recurring topics across this work include Thermodynamic properties of mixtures (2 papers), Folate and B Vitamins Research (1 paper), Genomics and Rare Diseases (1 paper), Case Reports on Hematomas (1 paper), Nutrition, Genetics, and Disease (1 paper), BRCA gene mutations in cancer (1 paper), Gout, Hyperuricemia, Uric Acid (1 paper) and Inflammasome and immune disorders (1 paper). The work is most often cited by research in Filtration and Separation (50 citations), Obstetrics and Gynecology (43 citations), Fluid Flow and Transfer Processes (37 citations), Pediatrics, Perinatology and Child Health (95 citations) and Physical and Theoretical Chemistry (32 citations). Michael T. Bashford has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Earl M. Woolley, Anthony R. Gregg, Honey V. Reddi, Teresa N. Sparks, Natalia T. Leach, Mahmoud Aarabi, Aleksandar Rajkovic, Tamar Goldwaser, Susan Klugman and Emily Chen. Their work appears in journals such as Genetics in Medicine, American Journal of Obstetrics and Gynecology, The Journal of Physical Chemistry, Obstetrical & Gynecological Survey and Journal of Musculoskeletal Research.

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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