Michael D. Graf

946 citations
11 papers · 185 · h-index 6

Impact in

Papers in

    • Genomic variations and chromosomal abnormalities 4
    • BRCA gene mutations in cancer 2
    • Genetics and Neurodevelopmental Disorders 1
    • Genomics and Rare Diseases 1

Michael D. Graf

11 papers receiving 172 citations

Peers

Michael D. Graf
Comparison fields: 5 of 41
  • Agronomy and Crop Science 33
  • Genetics 74
  • Pediatrics, Perinatology and Child Health 42
  • Immunology 40
  • Ecology, Evolution, Behavior and Systematics 32
Replace Kanako Kaneyama with:
Kanako Kaneyama Japan
Milan Bláha Czechia
Benjamin R. Sessions United States
Mariana Fernandes Machado Brazil
A. Franchi United States
Xinbao Zheng China
Kazuto Morozumi United States
João Paulo Botelho Vieira‐Filho Brazil
J. Van Hoeck Belgium
K. Korsawe Germany
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Citations per field
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Kanako Kaneyama · 1×
Citations per year

Countries citing papers authored by Michael D. Graf

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Graf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 200443
2 200641
3 201341
4 200022
5 199916
6 20027
7 20245
8 20034
9 20083
10 20032
11 20111

About Michael D. Graf

Michael D. Graf is a scholar working on Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science, having authored 11 papers that have together received 185 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), BRCA gene mutations in cancer (2 papers), Vector-Borne Animal Diseases (2 papers), T-cell and Retrovirus Studies (2 papers), Prenatal Screening and Diagnostics (2 papers), Animal Disease Management and Epidemiology (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Agronomy and Crop Science (33 citations), Genetics (74 citations), Pediatrics, Perinatology and Child Health (42 citations), Immunology (40 citations) and Ecology, Evolution, Behavior and Systematics (32 citations). Michael D. Graf has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Stuart Schwartz, Eric Libby, Allen Waziri, Steven Jacobson, David J. Driscoll, Samantha S. Soldan, Ayse Anil Timur, Qing K. Wang, Taketo Kawanishi and Michael C. Levin. Their work appears in journals such as Molecular Cytogenetics, Journal of Virology, Annals of Human Genetics, The Journal of Infectious Diseases and Prenatal Diagnosis.

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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