John Rozewicki

9.7k citations
8 papers · 6.4k indexed · 2 hit papers · h-index 8
Topics
vaccines and immunoinformatics approaches (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)T-cell and B-cell Immunology (3 papers)
Partner nations
JapanUnited StatesMexico

In The Last Decade

John Rozewicki

8 papers receiving 6.3k citations

Hit Papers

MAFFT online service: multiple sequence alignment, intera...20172026202020232017201910002.0k3.0k4.0k5.0k

Peers

John Rozewicki
Comparison fields: 5 of 146
  • Molecular Biology 2.7k
  • Plant Science 2.3k
  • Ecology 1.2k
  • Cell Biology 1.2k
  • Ecology, Evolution, Behavior and Systematics 1.1k
Replace Kazunori Yamada with:
Kazunori Yamada Japan
Diego Darriba Germany
Salvador Capella-Gutiérrez Spain
Diep Thi Hoang Vietnam
Lê Sỹ Vinh Vietnam
Dominik Schrempf United Kingdom
Hsin-Yu Chang United Kingdom
Michael D. Woodhams Australia
Terrance Shea United States
Maxim Scheremetjew United Kingdom
John Rozewicki relative to Kazunori Yamada Japan Kazunori Yamada's profile →
Citations per field
00.5×1.5×
Kazunori Yamada · 1×
Citations per year

Countries citing papers authored by John Rozewicki

Since Specialization
Citations

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

Fields of papers citing papers by John Rozewicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Rozewicki

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 21
2 24
3 27
4 14
5 10
6 42
7
MAFFT-DASH: integrated protein sequence and structural alignmentbreakdown →
545
8
MAFFT online service: multiple sequence alignment, interactive sequence choice and visualizationbreakdown →
5688

About John Rozewicki

John Rozewicki is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology, having authored 8 papers that have together received 6.4k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Cell Biology (1.2k citations), Plant Science (2.3k citations) and Ecology, Evolution, Behavior and Systematics (1.1k citations). John Rozewicki has collaborated with scholars based in Japan, United States and Mexico. Frequent co-authors include Kazutaka Katoh, Kazunori Yamada, Daron M. Standley, Songling Li, Zichang Xu, Shunsuke Teraguchi, Ana Davila, Kazuo Yamashita, Floris J. van Eerden and Wayne Volkmuth. Their work appears in journals such as Nucleic Acids Research, Frontiers in Microbiology and Briefings in Bioinformatics.

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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