Joseph M. Luna

3.1k citations
24 papers · 1.9k indexed · 3 hit papers · h-index 14
Topics
interferon and immune responses (7 papers)RNA Research and Splicing (7 papers)MicroRNA in disease regulation (5 papers)

In The Last Decade

Joseph M. Luna

23 papers receiving 1.9k citations

Hit Papers

Hepatitis C Virus RNA Functionally Sequesters miR-122201520262018202220152020201550100150200250

Peers

Joseph M. Luna
Comparison fields: 5 of 92
  • Molecular Biology 1.1k
  • Cancer Research 648
  • Immunology 570
  • Infectious Diseases 391
  • Epidemiology 378
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Joseph M. Luna relative to Daisuke Yamane United States Daisuke Yamane's profile →
Citations per field
00.5×1.5×
Daisuke Yamane · 1×
Citations per year

Countries citing papers authored by Joseph M. Luna

Since Specialization
Citations

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

Fields of papers citing papers by Joseph M. Luna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph M. Luna. 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 Joseph M. Luna. The network helps show where Joseph M. Luna may publish in the future.

Co-authorship network of co-authors of Joseph M. Luna

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 8
3 13
4 9
5 10
6 108
7
Genome-Scale Identification of SARS-CoV-2 and Pan-coronavirus Host Factor Networksbreakdown →
243
8 7
9 94
10 68
11 17
12 14
13 102
14
miRNA–target chimeras reveal miRNA 3′-end pairing as a major determinant of Argonaute target specificitybreakdown →
241
15
Hepatitis C Virus RNA Functionally Sequesters miR-122breakdown →
268
16 236
17 198
18 24
19 1
20 10

About Joseph M. Luna

Joseph M. Luna is a scholar working on Hepatology, Virology and Cancer Research, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include interferon and immune responses (7 papers), RNA Research and Splicing (7 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Cancer Research (648 citations), Virology (157 citations) and Immunology (570 citations). Joseph M. Luna has collaborated with scholars based in United States, Denmark and Austria. Frequent co-authors include Robert B. Darnell, Charles M. Rice, Troels K. H. Scheel, Eiko Nishiuchi, Pradeep D. Uchil, Walther Mothes, John J. Fak, Michael J. Moore, Wai-Tsing Chan and Brian D. Quinlan. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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