Michael Gargano

3.4k citations
12 papers · 206 · h-index 7

Impact in

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

Papers in

    • Gene expression and cancer classification 2
    • Biomedical Text Mining and Ontologies 2
    • RNA and protein synthesis mechanisms 2
    • Genomics and Rare Diseases 4

Michael Gargano

10 papers receiving 205 citations

Peers

Michael Gargano
Comparison fields: 5 of 46
  • Genetics 94
  • Cancer Research 30
  • Molecular Biology 98
  • Biological Psychiatry 2
  • Immunology 16
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Citations per field
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Citations per year

Countries citing papers authored by Michael Gargano

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gargano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 202056
2 201655
3 201932
4 202132
5 202212
6 20228
7 20196
8 20162
9 20232
10 20241
11 20260
12
Semantic Geometric Features: A Preliminary Investigation of Automobile Identification
20080

About Michael Gargano

Michael Gargano is a scholar working on Molecular Biology, Genetics, Cancer Research, Genetics and General Health Professions, having authored 12 papers that have together received 206 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (4 papers), Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (2 papers), Biomedical Text Mining and Ontologies (2 papers), RNA and protein synthesis mechanisms (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Plant Micronutrient Interactions and Effects (1 paper) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Genetics (94 citations), Cancer Research (30 citations), Molecular Biology (98 citations), Biological Psychiatry (2 citations) and Immunology (16 citations). Michael Gargano has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Garrett M. Dancik, Peter N. Robinson, Daniel Daniš, Melissa Haendel, Damian Smedley, Julie A. McMurry, Julius O.B. Jacobsen, Leigh Carmody, Sebastian Köhler and Justin Reese. Their work appears in journals such as The American Journal of Human Genetics, Molecular Case Studies, Journal of Medical Economics, Diabetes Research and Clinical Practice and Current Protocols in 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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