Ryan J. Schmidt

779 citations
39 papers · 353 · h-index 8

Impact in

    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Cancer Genomics and Diagnostics

Papers in

    • Genomics and Rare Diseases 7
    • Genomic variations and chromosomal abnormalities 4
    • Biomedical Text Mining and Ontologies 2

Ryan J. Schmidt

32 papers receiving 348 citations

Peers

Ryan J. Schmidt
Comparison fields: 5 of 47
  • Genetics 121
  • Cancer Research 60
  • Pathology and Forensic Medicine 45
  • Genetics 26
  • Pulmonary and Respiratory Medicine 48
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Triantafyllia Brozou Germany
Sanjay R. Hegde United States
Erin Mundt United States
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Shen-Yi Li China
Kai Ren Ong United Kingdom
Jurriaan Brouwer‐Visser United States
Anna Laura Putignano Italy
Magdalena Koczkowska Poland
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Citations per field
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Citations per year

Countries citing papers authored by Ryan J. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Ryan J. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan J. Schmidt. 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 Ryan J. Schmidt. The network helps show where Ryan J. Schmidt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016139
2 201960
3 201917
4 201817
5 202111
6 200710
7 20218
8 20238
9 20237
10 20227
11 20236
12 20216
13 20186
14 20226
15 20226
16 20234
17 20233
18 20233
19 20253
20 20203

About Ryan J. Schmidt

Ryan J. Schmidt is a scholar working on Genetics, Molecular Biology, Cancer Research, Surgery and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 353 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Genomics and Rare Diseases (7 papers), Genomic variations and chromosomal abnormalities (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Congenital Diaphragmatic Hernia Studies (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Acute Myeloid Leukemia Research (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Genetics (121 citations), Cancer Research (60 citations), Pathology and Forensic Medicine (45 citations), Genetics (26 citations) and Pulmonary and Respiratory Medicine (48 citations). Ryan J. Schmidt has collaborated with scholars based in United States, Canada and Saudi Arabia. Frequent co-authors include Matthew S. Lebo, Birgit Funke, Madhuri Hegde, Elizabeth Hynes, Himanshu Sharma, Mark Bowser, Kristin McDonald Gibson, Diana Mandelker, Avni Santani and Arunkanth Ankala. Their work appears in journals such as Journal of Molecular Diagnostics, Genetics in Medicine, Modern Pathology, Neuro-Oncology Advances and Journal of Clinical Pathology.

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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