Kim Philipp Jablonski

3.2k total citations
10 papers, 99 citations indexed

About

Kim Philipp Jablonski is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Kim Philipp Jablonski has authored 10 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Ecology. Recurrent topics in Kim Philipp Jablonski's work include Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (3 papers) and Bacteriophages and microbial interactions (3 papers). Kim Philipp Jablonski is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (3 papers) and Bacteriophages and microbial interactions (3 papers). Kim Philipp Jablonski collaborates with scholars based in Switzerland, Germany and France. Kim Philipp Jablonski's co-authors include Niko Beerenwinkel, Susana Posada-Céspedes, Karin J. Metzner, Ivan Topolsky, David Seifert, Kosmas Kosmidis, Lara Fuhrmann, Georgi Muskhelishvili, Marc‐Thorsten Hütt and Thierry Forné and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Kim Philipp Jablonski

10 papers receiving 97 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kim Philipp Jablonski Switzerland	6	65	28	20	18	12	10	99
Gita Mahmoudabadi United States	4	90 1.4×	13 0.5×	27 1.4×	5 0.3×	17 1.4×	5	119
Alex McPherson United States	6	75 1.2×	15 0.5×	14 0.7×	9 0.5×	17 1.4×	9	114
Julie Blanc Spain	4	102 1.6×	14 0.5×	7 0.3×	14 0.8×	12 1.0×	4	126
Quang Tran United States	5	54 0.8×	33 1.2×	19 0.9×	12 0.7×	9 0.8×	14	116
Kimberley A. Lewis United States	5	140 2.2×	16 0.6×	12 0.6×	28 1.6×	6 0.5×	7	180
Jan Ewald Germany	8	79 1.2×	29 1.0×	9 0.5×	32 1.8×	9 0.8×	16	145
Marcin Biesiada Poland	6	209 3.2×	17 0.6×	18 0.9×	14 0.8×	19 1.6×	7	234
Wenqing Jiang China	9	133 2.0×	67 2.4×	11 0.6×	17 0.9×	9 0.8×	14	186
Zi-Ning Choo United States	4	160 2.5×	29 1.0×	40 2.0×	15 0.8×	8 0.7×	7	195
Hadil Onallah Israel	7	58 0.9×	13 0.5×	42 2.1×	6 0.3×	14 1.2×	10	109

Countries citing papers authored by Kim Philipp Jablonski

Since Specialization

Citations

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

Fields of papers citing papers by Kim Philipp Jablonski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim Philipp Jablonski. 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 Kim Philipp Jablonski. The network helps show where Kim Philipp Jablonski may publish in the future.

Co-authorship network of co-authors of Kim Philipp Jablonski

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

All Works

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10 of 10 papers shown

Fuhrmann, Lara, Kim Philipp Jablonski, Ivan Topolsky, et al.. (2024). V-pipe 3.0: a sustainable pipeline for within-sample viral genetic diversity estimation. GigaScience. 13. 7 indexed citations

Jablonski, Kim Philipp & Niko Beerenwinkel. (2023). Coherent pathway enrichment estimation by modeling inter-pathway dependencies using regularized regression. Bioinformatics. 39(8). 1 indexed citations

Jablonski, Kim Philipp, et al.. (2022). Contribution of 3D genome topological domains to genetic risk of cancers: a genome-wide computational study. Human Genomics. 16(1). 2–2. 8 indexed citations

Birkedal, Ulf, Jingwen Zhang, Kim Philipp Jablonski, et al.. (2022). Fractional 2′-O-methylation in the ribosomal RNA of Dictyostelium discoideum supports ribosome heterogeneity in Amoebozoa. Scientific Reports. 12(1). 1952–1952. 5 indexed citations

Posada-Céspedes, Susana, David Seifert, Ivan Topolsky, et al.. (2021). V-pipe: a computational pipeline for assessing viral genetic diversity from high-throughput data. Bioinformatics. 37(12). 1673–1680. 46 indexed citations

Jablonski, Kim Philipp, et al.. (2021). Identifying cancer pathway dysregulations using differential causal effects. Bioinformatics. 38(6). 1550–1559. 5 indexed citations

Fuhrmann, Lara, Kim Philipp Jablonski, & Niko Beerenwinkel. (2021). Quantitative measures of within-host viral genetic diversity. Current Opinion in Virology. 49. 157–163. 8 indexed citations

Jablonski, Kim Philipp, Stefan Gräf, Roland Klassen, et al.. (2020). Eukaryotic life without tQCUG: the role of Elongator-dependent tRNA modifications in Dictyostelium discoideum. Nucleic Acids Research. 48(14). 7899–7913. 5 indexed citations

Kosmidis, Kosmas, Kim Philipp Jablonski, Georgi Muskhelishvili, & Marc‐Thorsten Hütt. (2020). Chromosomal origin of replication coordinates logically distinct types of bacterial genetic regulation. npj Systems Biology and Applications. 6(1). 5–5. 13 indexed citations

10.

Jablonski, Kim Philipp, et al.. (2017). Genome supranucleosomal organization and genetic susceptibility to diseases. AIP conference proceedings. 1882. 20027–20027. 1 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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