Ian A. Mellis

1.5k citations
21 papers · 407 indexed · 1 hit paper · h-index 12
Topics
SARS-CoV-2 and COVID-19 Research (8 papers)CRISPR and Genetic Engineering (6 papers)Gene Regulatory Network Analysis (4 papers)

In The Last Decade

Ian A. Mellis

20 papers receiving 404 citations

Hit Papers

XBB.1.5 monovalent mRNA vaccine booster elicits robust ne...2024202620252024255075

Peers

Ian A. Mellis
Comparison fields: 5 of 65
  • Molecular Biology 276
  • Infectious Diseases 114
  • Cancer Research 31
  • Biomedical Engineering 27
  • Biophysics 27
Replace Caitlin I. Stoddard with:
Caitlin I. Stoddard United States
Tadashi Makio Japan
Alexander H. Tavares United States
Akshay Bhumkar Australia
Atif Towheed United States
Xiao-Sheng Jiang United States
Andreas R. Gschwind United States
Mohammed Shahraz Germany
Ilona Faustova Estonia
Vincent Francis Canada
Ian A. Mellis relative to Caitlin I. Stoddard United States Caitlin I. Stoddard's profile →
Citations per field
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Caitlin I. Stoddard · 1×
Citations per year

Countries citing papers authored by Ian A. Mellis

Since Specialization
Citations

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

Fields of papers citing papers by Ian A. Mellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian A. Mellis. 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 Ian A. Mellis. The network helps show where Ian A. Mellis may publish in the future.

Co-authorship network of co-authors of Ian A. Mellis

This figure shows the co-authorship network connecting the top 25 collaborators of Ian A. Mellis. A scholar is included among the top collaborators of Ian A. Mellis 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 Ian A. Mellis. Ian A. Mellis 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 2
2 3
3 0
4 12
5 4
6
XBB.1.5 monovalent mRNA vaccine booster elicits robust neutralizing antibodies against XBB subvariants and JN.1breakdown →
80
7 3
8 13
9 3
10 13
11 11
12 36
13 11
14 23
15 16
16 106
17 27
18 1
19 29
20 13

About Ian A. Mellis

Ian A. Mellis is a scholar working on Infectious Diseases, Animal Science and Zoology and Modeling and Simulation, having authored 21 papers that have together received 407 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), CRISPR and Genetic Engineering (6 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Infectious Diseases (114 citations), Biophysics (27 citations) and Molecular Biology (276 citations). Ian A. Mellis has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Arjun Raj, Sara H. Rouhanifard, Connie Jiang, Benjamin Emert, Orsolya Symmons, David D. Ho, Eduardo A. Torre, Riccardo Valdez, Aubree Gordon and Yicheng Guo. Their work appears in journals such as Nature Communications, Nature Genetics and Nature Biotechnology.

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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