John Rozewicki

9.7k total citations · 2 hit papers
8 papers, 6.4k citations indexed

About

John Rozewicki is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, John Rozewicki has authored 8 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Immunology. Recurrent topics in John Rozewicki's work include vaccines and immunoinformatics approaches (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and T-cell and B-cell Immunology (3 papers). John Rozewicki is often cited by papers focused on vaccines and immunoinformatics approaches (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and T-cell and B-cell Immunology (3 papers). John Rozewicki collaborates with scholars based in Japan, United States and Mexico. John Rozewicki's 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 and has published in prestigious journals such as Nucleic Acids Research, Frontiers in Microbiology and Briefings in Bioinformatics.

In The Last Decade

John Rozewicki

8 papers receiving 6.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization

2017 5.7k citations Kazutaka Katoh, John Rozewicki et al. Briefings in Bioinformatics profile →
MAFFT-DASH: integrated protein sequence and structural alignment

2019 545 citations John Rozewicki, Songling Li et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John Rozewicki Japan	8	2.7k	2.3k	1.2k	1.2k	1.1k	8	6.4k
Kazunori Yamada Japan	23	3.5k 1.3×	2.4k 1.1×	1.3k 1.1×	1.3k 1.1×	1.3k 1.1×	76	7.8k
Diego Darriba Germany	10	3.2k 1.2×	1.8k 0.8×	1.6k 1.3×	492 0.4×	1.0k 0.9×	16	6.6k
Salvador Capella-Gutiérrez Spain	19	5.1k 1.8×	3.1k 1.4×	2.4k 2.0×	806 0.7×	1.3k 1.2×	38	9.6k
Sharadha Sakthikumar United States	10	3.6k 1.3×	2.1k 0.9×	1.3k 1.0×	545 0.5×	425 0.4×	13	6.3k
Terrance Shea United States	17	4.7k 1.7×	2.6k 1.2×	1.6k 1.3×	615 0.5×	504 0.4×	29	7.9k
Dominik Schrempf United Kingdom	12	3.7k 1.4×	1.9k 0.8×	1.9k 1.5×	471 0.4×	1.5k 1.3×	17	8.3k
Margaret Priest United States	5	3.5k 1.3×	1.9k 0.9×	1.3k 1.0×	425 0.4×	421 0.4×	6	5.9k
Hsin-Yu Chang United Kingdom	9	3.5k 1.3×	2.4k 1.0×	1.2k 1.0×	654 0.6×	482 0.4×	10	6.2k
Diep Thi Hoang Vietnam	6	2.4k 0.9×	1.4k 0.6×	1.6k 1.3×	457 0.4×	1.7k 1.4×	11	6.4k
Michael D. Woodhams Australia	11	3.7k 1.4×	1.8k 0.8×	1.9k 1.5×	479 0.4×	1.5k 1.3×	16	8.3k

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

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8 of 8 papers shown

1.

Davila, Ana, Zichang Xu, Songling Li, et al.. (2022). AbAdapt: an adaptive approach to predicting antibody–antigen complex structures from sequence. Bioinformatics Advances. 2(1). vbac015–vbac015. 21 indexed citations

2.

Teraguchi, Shunsuke, Mara Anaís Llamas-Covarrubias, Ana Davila, et al.. (2020). Methods for sequence and structural analysis of B and T cell receptor repertoires. Computational and Structural Biotechnology Journal. 18. 2000–2011. 24 indexed citations

3.

Li, Songling, Floris J. van Eerden, John Rozewicki, et al.. (2020). Flexible, Functional, and Familiar: Characteristics of SARS-CoV-2 Spike Protein Evolution. Frontiers in Microbiology. 11. 2112–2112. 27 indexed citations

4.

Li, Songling, Shunsuke Teraguchi, Floris J. van Eerden, et al.. (2019). Structural Modeling of Lymphocyte Receptors and Their Antigens. Methods in molecular biology. 2048. 207–229. 14 indexed citations

5.

Xu, Zichang, Songling Li, John Rozewicki, et al.. (2019). Functional clustering of B cell receptors using sequence and structural features. Molecular Systems Design & Engineering. 4(4). 769–778. 10 indexed citations

6.

Li, Songling, John Rozewicki, Kazutaka Katoh, et al.. (2019). Repertoire Builder: high-throughput structural modeling of B and T cell receptors. Molecular Systems Design & Engineering. 4(4). 761–768. 42 indexed citations

7.

Rozewicki, John, et al.. (2019). MAFFT-DASH: integrated protein sequence and structural alignment. Nucleic Acids Research. 47(W1). W5–W10. 545 indexed citations breakdown →

8.

Katoh, Kazutaka, John Rozewicki, & Kazunori Yamada. (2017). MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization. Briefings in Bioinformatics. 20(4). 1160–1166. 5688 indexed citations breakdown →

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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