Giuseppe Narzisi

10.3k total citations
29 papers, 1.0k citations indexed

About

Giuseppe Narzisi is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Giuseppe Narzisi has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Genetics and 3 papers in Artificial Intelligence. Recurrent topics in Giuseppe Narzisi's work include Genomics and Phylogenetic Studies (12 papers), Genomics and Rare Diseases (5 papers) and RNA and protein synthesis mechanisms (5 papers). Giuseppe Narzisi is often cited by papers focused on Genomics and Phylogenetic Studies (12 papers), Genomics and Rare Diseases (5 papers) and RNA and protein synthesis mechanisms (5 papers). Giuseppe Narzisi collaborates with scholars based in United States, Italy and Mexico. Giuseppe Narzisi's co-authors include Bud Mishra, Michael C. Schatz, Giuseppe Nicosia, Francesco Vezzi, Vincenzo Cutello, Han Fang, Gholson J. Lyon, Jason O'Rawe, Ivan Iossifov and Yiyang Wu and has published in prestigious journals such as Journal of Clinical Oncology, Nature Neuroscience and Bioinformatics.

In The Last Decade

Giuseppe Narzisi

28 papers receiving 986 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giuseppe Narzisi United States	15	624	278	156	101	75	29	1.0k
Karyn Mégy United Kingdom	13	790 1.3×	287 1.0×	149 1.0×	135 1.3×	28 0.4×	25	1.3k
Jeroen F. J. Laros Netherlands	21	1.2k 2.0×	772 2.8×	251 1.6×	49 0.5×	55 0.7×	48	1.9k
Niko Popitsch Austria	20	560 0.9×	219 0.8×	187 1.2×	40 0.4×	138 1.8×	46	1.2k
Jason Bell United States	19	1.1k 1.8×	614 2.2×	93 0.6×	134 1.3×	34 0.5×	38	1.6k
Arek Kasprzyk United Kingdom	8	1.2k 1.9×	352 1.3×	193 1.2×	124 1.2×	38 0.5×	10	1.6k
Fuli Yu United States	22	694 1.1×	756 2.7×	176 1.1×	97 1.0×	56 0.7×	41	1.5k
Hailiang Mei Netherlands	26	1.5k 2.4×	302 1.1×	439 2.8×	258 2.6×	39 0.5×	133	2.6k
Barbera D. C. van Schaik Netherlands	21	966 1.5×	298 1.1×	114 0.7×	195 1.9×	11 0.1×	46	1.8k
Monika Ray United States	7	1.3k 2.2×	192 0.7×	196 1.3×	37 0.4×	44 0.6×	21	1.8k

Countries citing papers authored by Giuseppe Narzisi

Since Specialization

Citations

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

Fields of papers citing papers by Giuseppe Narzisi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Narzisi

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Narzisi. A scholar is included among the top collaborators of Giuseppe Narzisi 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 Giuseppe Narzisi. Giuseppe Narzisi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Corvelo, André, Giuseppe Narzisi, Rajeeva Musunuri, et al.. (2024). Osteocalcin of maternal and embryonic origins synergize to establish homeostasis in offspring. EMBO Reports. 25(2). 593–615. 5 indexed citations

Humphrey, Jack, Sanan Venkatesh, Kátia de Paiva Lopes, et al.. (2022). Integrative transcriptomic analysis of the amyotrophic lateral sclerosis spinal cord implicates glial activation and suggests new risk genes. Nature Neuroscience. 26(1). 150–162. 65 indexed citations

Rubenstein, Dustin R., André Corvelo, Matthew D. MacManes, et al.. (2021). Feather Gene Expression Elucidates the Developmental Basis of Plumage Iridescence in African Starlings. Journal of Heredity. 112(5). 417–429. 12 indexed citations

Musunuri, Rajeeva, Kanika Arora, André Corvelo, et al.. (2020). Somatic variant analysis of linked-reads sequencing data with Lancet. Bioinformatics. 37(13). 1918–1919. 1 indexed citations

Dolzhenko, Egor, Mark F. Bennett, Phillip A. Richmond, et al.. (2020). ExpansionHunter Denovo: a computational method for locating known and novel repeat expansions in short-read sequencing data. Genome biology. 21(1). 102–102. 95 indexed citations

Narzisi, Giuseppe, André Corvelo, Kanika Arora, et al.. (2018). Genome-wide somatic variant calling using localized colored de Bruijn graphs. Communications Biology. 1(1). 20–20. 62 indexed citations

Fang, Han, Ewa A. Bergmann, Kanika Arora, et al.. (2016). Indel variant analysis of short-read sequencing data with Scalpel. Nature Protocols. 11(12). 2529–2548. 77 indexed citations

Narzisi, Giuseppe & Michael C. Schatz. (2015). The Challenge of Small-Scale Repeats for Indel Discovery. Frontiers in Bioengineering and Biotechnology. 3. 8–8. 35 indexed citations

Narzisi, Giuseppe, Jason O'Rawe, Ivan Iossifov, et al.. (2014). Accurate de novo and transmitted indel detection in exome-capture data using microassembly. Nature Methods. 11(10). 1033–1036. 121 indexed citations

10.

Fang, Han, Yiyang Wu, Giuseppe Narzisi, et al.. (2014). Reducing INDEL calling errors in whole genome and exome sequencing data. Genome Medicine. 6(10). 89–89. 112 indexed citations

11.

Vezzi, Francesco, Giuseppe Narzisi, & Bud Mishra. (2012). Feature-by-Feature – Evaluating De Novo Sequence Assembly. PLoS ONE. 7(2). e31002–e31002. 32 indexed citations

12.

Vezzi, Francesco, Giuseppe Narzisi, & Bud Mishra. (2012). Reevaluating Assembly Evaluations with Feature Response Curves: GAGE and Assemblathons. PLoS ONE. 7(12). e52210–e52210. 62 indexed citations

13.

Narzisi, Giuseppe & Bud Mishra. (2011). Comparing De Novo Genome Assembly: The Long and Short of It. PLoS ONE. 6(4). e19175–e19175. 80 indexed citations

14.

Schatz, Michael C., Adam M. Phillippy, Doron D. Sommer, et al.. (2011). Hawkeye and AMOS: visualizing and assessing the quality of genome assemblies. Briefings in Bioinformatics. 14(2). 213–224. 39 indexed citations

15.

Narzisi, Giuseppe, et al.. (2011). TotalReCaller: improved accuracy and performance via integrated alignment and base-calling. Bioinformatics. 27(17). 2330–2337. 7 indexed citations

16.

Narzisi, Giuseppe & Bud Mishra. (2010). Scoring-and-unfolding trimmed tree assembler: concepts, constructs and comparisons. Bioinformatics. 27(2). 153–160. 15 indexed citations

17.

Smith, Silas W., Ian Portelli, Giuseppe Narzisi, et al.. (2009). A Novel Approach to Multihazard Modeling and Simulation. Disaster Medicine and Public Health Preparedness. 3(2). 75–87. 14 indexed citations

18.

Narzisi, Giuseppe. (2008). Classic Methods for Multi-Objective Optimization. 3 indexed citations

19.

Narzisi, Giuseppe, et al.. (2006). Multi-objective evolutionary optimization of agent-based models: An application to emergency response planning. Computational intelligence. 228–232. 31 indexed citations

20.

Mishra, Bud, et al.. (2006). Emergency response planning for a potential sarin gas attack in Manhattan using agent based models. 2 indexed citations

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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