Maria Ina Arnone

7.0k citations
85 papers · 2.6k indexed · 1 hit paper · h-index 27

Maria Ina Arnone

83 papers receiving 2.5k citations

Hit Papers

The hardwiring of development: organization and function ...5331997202620062016100200300400500

Peers

Maria Ina Arnone
Comparison fields: 5 of 142
  • Aquatic Science 488
  • Oceanography 299
  • Aging 42
  • Molecular Biology 1.5k
  • Ocean Engineering 239
Replace Motonori Hoshi with:
Motonori Hoshi Japan
Veronica F. Hinman United States
Albert J. Poustka Germany
Gary W. Moy United States
James A. Coffman United States
Koji Akasaka Japan
Andrew Ransick United States
Yi‐Hsien Su Taiwan
Christian Gache France
Masaaki Morisawa Japan
Maria Ina Arnone relative to Motonori Hoshi Japan Motonori Hoshi's profile →
Citations per field
00.5×10×12.5×
Motonori Hoshi · 1×
Citations per year

Countries citing papers authored by Maria Ina Arnone

Since Specialization
Citations

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

Fields of papers citing papers by Maria Ina Arnone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Ina Arnone. 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 Maria Ina Arnone. The network helps show where Maria Ina Arnone may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20233
5 20235
6 202213
7 202212
8 202122
9 20217
10 201826
11 201531
12 201429
13 2011116
14 2006111
15 200655
16 200696
17 200524
18 200459
19 199224
20 19926

About Maria Ina Arnone

Maria Ina Arnone is a scholar working on Aquatic Science, Biochemistry and Molecular Biology, having authored 85 papers that have together received 2.6k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (25 papers), Echinoderm biology and ecology (15 papers), Neurobiology and Insect Physiology Research (11 papers), Marine Biology and Environmental Chemistry (11 papers), Genomics and Chromatin Dynamics (9 papers), Animal Genetics and Reproduction (9 papers), Enzyme Structure and Function (7 papers) and Epigenetics and DNA Methylation (7 papers). The work is most often cited by research in Aquatic Science (488 citations), Oceanography (299 citations) and Aging (42 citations). Maria Ina Arnone has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Eric H. Davidson, Francesca Rizzo, Rossella Annunziata, Carmen Andrikou, Margherita Perillo, Esther Ullrich-Lüter, Pedro Martı́nez, Enrique Arboleda, Periklis Paganos and Roberto Di Lauro. Their work appears in journals such as Developmental Biology, Development, Cells, Journal of Biological Chemistry and BMC Evolutionary Biology.

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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