Michael Gargano

3.3k total citations
11 papers, 196 citations indexed

About

Michael Gargano is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Michael Gargano has authored 11 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Michael Gargano's work include Genomics and Rare Diseases (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Cancer Genomics and Diagnostics (2 papers). Michael Gargano is often cited by papers focused on Genomics and Rare Diseases (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Cancer Genomics and Diagnostics (2 papers). Michael Gargano collaborates with scholars based in United States, Germany and United Kingdom. Michael Gargano's co-authors include Garrett M. Dancik, Peter N. Robinson, Melissa Haendel, Julius O.B. Jacobsen, Julie A. McMurry, Daniel Daniš, Leigh Carmody, Damian Smedley, Sebastian Köhler and Giorgio Valentini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Cancer Research.

In The Last Decade

Michael Gargano

10 papers receiving 195 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael Gargano United States	7	123	92	37	18	17	11	196
Eirikur Hjartarson Iceland	3	159 1.3×	156 1.7×	29 0.8×	14 0.8×	9 0.5×	3	286
Joeri K. van der Velde Netherlands	4	108 0.9×	110 1.2×	20 0.5×	5 0.3×	17 1.0×	4	209
Guangqing Sun China	2	205 1.7×	211 2.3×	122 3.3×	6 0.3×	10 0.6×	3	328
Deepak Purushotham United States	4	197 1.6×	33 0.4×	29 0.8×	28 1.6×	3 0.2×	7	243
María Mercedes Torres Colombia	8	112 0.9×	38 0.4×	37 1.0×	18 1.0×	7 0.4×	15	190
Nicholas Giangreco United States	6	73 0.6×	49 0.5×	18 0.5×	38 2.1×	5 0.3×	13	169
Danny Challis United States	3	150 1.2×	113 1.2×	49 1.3×	7 0.4×	5 0.3×	4	209
Yuchao Xia China	7	102 0.8×	53 0.6×	70 1.9×	6 0.3×	9 0.5×	11	171
Donald J. Corsmeier United States	4	83 0.7×	51 0.6×	20 0.5×	8 0.4×	16 0.9×	4	139
Archana Sharma‐Oates United Kingdom	8	123 1.0×	26 0.3×	18 0.5×	31 1.7×	7 0.4×	17	213

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-authorship network of co-authors of Michael Gargano

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gargano. A scholar is included among the top collaborators of Michael Gargano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Gargano. Michael Gargano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

Caufield, J. Harry, Leigh Carmody, Michael Gargano, et al.. (2024). Leveraging generative AI to assist biocuration of medical actions for rare disease. Bioinformatics Advances. 5(1). vbaf141–vbaf141. 1 indexed citations

Sundaramurthi, Jagadish Chandrabose, Anita Bagley, Hannah Blau, et al.. (2023). De novoTRPM3missense variant associated with neurodevelopmental delay and manifestations of cerebral palsy. Molecular Case Studies. 9(4). a006293–a006293. 1 indexed citations

Chan, Lauren, Elena Casiraghi, Bryan Laraway, et al.. (2022). Metformin is associated with reduced COVID-19 severity in patients with prediabetes. Diabetes Research and Clinical Practice. 194. 110157–110157. 12 indexed citations

Ladewig, Markus S., Julius O.B. Jacobsen, Alex H. Wagner, et al.. (2022). GA4GH Phenopackets: A Practical Introduction. SHILAP Revista de lepidopterología. 4(1). 2200016–2200016. 8 indexed citations

Daniš, Daniel, Julius O.B. Jacobsen, Leigh Carmody, et al.. (2021). Interpretable prioritization of splice variants in diagnostic next-generation sequencing. The American Journal of Human Genetics. 108(9). 1564–1577. 30 indexed citations

Robinson, Peter N., Vida Ravanmehr, Julius O.B. Jacobsen, et al.. (2020). Interpretable Clinical Genomics with a Likelihood Ratio Paradigm. The American Journal of Human Genetics. 107(3). 403–417. 51 indexed citations

Gargano, Michael, Jochen Hecht, Jonas Ibn-Salem, et al.. (2019). Computational Processing and Quality Control of Hi-C, Capture Hi-C and Capture-C Data. Genes. 10(7). 548–548. 6 indexed citations

Köhler, Sebastian, Orion J. Buske, Tudor Groza, et al.. (2019). Encoding Clinical Data with the Human Phenotype Ontology for Computational Differential Diagnostics. Current Protocols in Human Genetics. 103(1). 31 indexed citations

Gargano, Michael, et al.. (2016). shinyGEO: a web-based application for analyzing gene expression omnibus datasets. Bioinformatics. 32(23). 3679–3681. 54 indexed citations

10.

Gargano, Michael, et al.. (2016). Abstract 5292: An online tool for biomarker analysis in Gene Expression Omnibus (GEO) datasets. Cancer Research. 76(14_Supplement). 5292–5292. 2 indexed citations

11.

Gargano, Michael, et al.. (2008). Semantic Geometric Features: A Preliminary Investigation of Automobile Identification.

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.

Explore authors with similar magnitude of impact