John Nunnari

1.0k citations
12 papers · 773 · h-index 8

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Parasitic Infections and Diagnostics

Papers in

    • Nuclear Structure and Function 3
    • RNA Research and Splicing 3
    • RNA regulation and disease 2
    • Cellular transport and secretion 3

John Nunnari

12 papers receiving 763 citations

Peers

John Nunnari
Comparison fields: 5 of 66
  • Aging 60
  • Parasitology 73
  • Cell Biology 134
  • Molecular Biology 507
  • Cancer Research 93
Replace Landon L. Moore with:
Landon L. Moore United States
Edward M. Perkins United States
Szabolcs Takáts Hungary
Brit Corneliussen Sweden
Bernard Charroux France
Pauline Cottee Australia
Maximilian Krause Norway
Savitha Kalidas United States
Håkon Tjeldnes Norway
Andrew Shaw United States
John Nunnari relative to Landon L. Moore United States Landon L. Moore's profile →
Citations per field
00.5×1.7×
Landon L. Moore · 1×
Citations per year

Countries citing papers authored by John Nunnari

Since Specialization
Citations

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

Fields of papers citing papers by John Nunnari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2012257
2 2012226
3 2013113
4 201163
5 201035
6 200630
7 200519
8 200516
9 19996
10 19996
11 20121
12 20121

About John Nunnari

John Nunnari is a scholar working on Molecular Biology, Cell Biology, Parasitology, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 773 indexed citations. Recurring topics across this work include Cellular transport and secretion (3 papers), Parasitic Infections and Diagnostics (3 papers), Nuclear Structure and Function (3 papers), RNA Research and Splicing (3 papers), MicroRNA in disease regulation (2 papers), RNA regulation and disease (2 papers), Circadian rhythm and melatonin (1 paper) and Amoebic Infections and Treatments (1 paper). The work is most often cited by research in Aging (60 citations), Parasitology (73 citations), Cell Biology (134 citations), Molecular Biology (507 citations) and Cancer Research (93 citations). John Nunnari has collaborated with scholars based in United States, Uganda and Singapore. Frequent co-authors include Vivian Budnik, Romina Barría, Yihang Li, Melissa J. Moore, James Ashley, Vahbiz Jokhi, Kate Koles, John Leszyk, Bing Zhang and Sean D. Speese. Their work appears in journals such as Developmental Neuroscience, Cell, Cell Reports, Clinical and Vaccine Immunology and Journal of Biological Chemistry.

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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