Paul Klonowski

5.7k total citations · 2 hit papers
5 papers, 4.1k citations indexed

About

Paul Klonowski is a scholar working on Molecular Biology, Plant Science and Pathology and Forensic Medicine. According to data from OpenAlex, Paul Klonowski has authored 5 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Plant Science and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Paul Klonowski's work include Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (3 papers) and RNA and protein synthesis mechanisms (2 papers). Paul Klonowski is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (3 papers) and RNA and protein synthesis mechanisms (2 papers). Paul Klonowski collaborates with scholars based in United States and Israel. Paul Klonowski's co-authors include Jerzy Jurka, Vladimir V. Kapitonov, Oleksiy Kohany, Adam Pavlı́c̀ek, Lawrence Steinman, Andrea Brendolan, Annette Langer‐Gould, Stephen J. Galli, Rosetta Pedotti and Eric E. Schadt and has published in prestigious journals such as Nature Medicine, Cytogenetic and Genome Research and Journal of Biomolecular Structure and Dynamics.

In The Last Decade

Paul Klonowski

5 papers receiving 4.1k citations

Hit Papers

Repbase Update, a database of eukaryotic repetitive elements 2002 2026 2010 2018 2005 2002 500 1000 1.5k 2.0k
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.

  1. Repbase Update, a database of eukaryotic repetitive elements
    2005 2.4k citations Jerzy Jurka, Vladimir V. Kapitonov et al. Cytogenetic and Genome Research profile →
  2. Gene-microarray analysis of multiple sclerosis lesions yields new targets validated in autoimmune encephalomyelitis
    2002 1.4k citations Christopher Lock, G Hermans et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Klonowski United States 5 2.4k 1.7k 948 659 438 5 4.1k
Ronald Ellis United States 29 3.5k 1.5× 449 0.3× 862 0.9× 648 1.0× 86 0.2× 49 6.1k
María Elena de Bellard United States 34 3.5k 1.5× 439 0.3× 507 0.5× 1.4k 2.1× 150 0.3× 70 5.3k
J L Weber United States 21 2.2k 0.9× 896 0.5× 224 0.2× 2.0k 3.1× 375 0.9× 31 4.7k
Richard Binari United States 29 3.0k 1.2× 348 0.2× 1.1k 1.1× 555 0.8× 125 0.3× 40 4.5k
Friederike Dündar United States 10 5.6k 2.3× 1.4k 0.8× 773 0.8× 854 1.3× 120 0.3× 16 7.0k
Paul Lasko Canada 51 7.2k 3.0× 1.1k 0.6× 640 0.7× 1.9k 2.9× 112 0.3× 125 8.8k
Kenneth J. Kemphues United States 42 5.6k 2.3× 804 0.5× 148 0.2× 613 0.9× 166 0.4× 58 7.9k
Valeria Gagliardini Switzerland 22 2.8k 1.2× 1.5k 0.9× 559 0.6× 326 0.5× 106 0.2× 35 4.1k
Victor Guryev Netherlands 36 3.9k 1.6× 646 0.4× 425 0.4× 1.6k 2.4× 188 0.4× 124 5.9k
Luc DesGroseillers Canada 45 4.0k 1.7× 226 0.1× 665 0.7× 990 1.5× 158 0.4× 118 6.0k

Countries citing papers authored by Paul Klonowski

Since Specialization
Citations

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

Fields of papers citing papers by Paul Klonowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Klonowski

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

All Works

5 of 5 papers shown
1.
Jurka, Jerzy, et al.. (2005). Repbase Update, a database of eukaryotic repetitive elements. Cytogenetic and Genome Research. 110(1-4). 462–467. 2390 indexed citations breakdown →
2.
Lock, Christopher, G Hermans, Rosetta Pedotti, et al.. (2002). Gene-microarray analysis of multiple sclerosis lesions yields new targets validated in autoimmune encephalomyelitis. Nature Medicine. 8(5). 500–508. 1355 indexed citations breakdown →
3.
Jurka, Jerzy, Paul Klonowski, & Edward N. Trifonov. (1998). Mammalian Retroposons Integrate at Kinkable DNA Sites. Journal of Biomolecular Structure and Dynamics. 15(4). 717–721. 32 indexed citations
4.
Jurka, Jerzy, et al.. (1996). Identification of new medium reiteration frequency repeats in the genomes of Primates, Rodentia and Lagomorpha. Genetica. 98(3). 235–247. 21 indexed citations
5.
Jurka, Jerzy, et al.. (1996). Censor—a program for identification and elimination of repetitive elements from DNA sequences. Computers & Chemistry. 20(1). 119–121. 333 indexed citations

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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