Jan Hapala

447 citations
13 papers · 306 · h-index 9

Impact in

Papers in

    • RNA and protein synthesis mechanisms 5
    • Genomics and Chromatin Dynamics 3
    • Epigenetics and DNA Methylation 3
    • CRISPR and Genetic Engineering 3
    • Genomics and Phylogenetic Studies 2
    • RNA Research and Splicing 2
    • Chromosomal and Genetic Variations 2

Jan Hapala

13 papers receiving 304 citations

Peers

Jan Hapala
Comparison fields: 5 of 61
  • Aging 7
  • Plant Science 123
  • Molecular Biology 215
  • Physiology 51
  • Cancer Research 22
Replace Kate Anthony with:
Kate Anthony United States
Shu Ly Lim Australia
Cristina E. Requena United Kingdom
Barbara Arbeithuber Austria
Zhuo Xing China
Marcos Castellanos United Kingdom
Ronita Nag Chaudhuri India
Baozeng Xu China
Ilaria Stanghellini Italy
Bernard A. J. Roelen Netherlands
Jan Hapala relative to Kate Anthony United States Kate Anthony's profile →
Citations per field
00.5×6.8×
Kate Anthony · 1×
Citations per year

Countries citing papers authored by Jan Hapala

Since Specialization
Citations

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

Fields of papers citing papers by Jan Hapala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jan Hapala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Hapala Line = papers co-authored together Jan Hapala links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201563
2 202061
3 201550
4 201729
5 202023
6 201522
7 202120
8 202017
9 201310
10 20118
11 20101
12
High resolution sequence-directed mapping of nucleosomes with functional loads
20141
13 20131

About Jan Hapala

Jan Hapala is a scholar working on Molecular Biology, Plant Science, Physiology, Surgery and Genetics, having authored 13 papers that have together received 306 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (3 papers), CRISPR and Genetic Engineering (3 papers), Genomics and Phylogenetic Studies (2 papers), RNA Research and Splicing (2 papers), Chromosomal and Genetic Variations (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Aging (7 citations), Plant Science (123 citations), Molecular Biology (215 citations), Physiology (51 citations) and Cancer Research (22 citations). Jan Hapala has collaborated with scholars based in Czechia, Germany and Israel. Frequent co-authors include Wolfgang Wagner, Jiřı́ Fajkus, Eva Sýkorová, Martina Dvořáčková, Petr Fajkus, Vratislav Peška, Edward N. Trifonov, Julia Franzen, Chao‐Chung Kuo and Zdeňka Sitová. Their work appears in journals such as Gene, The Plant Journal, Clinical Epigenetics, BMC Biology and Israel Journal of Chemistry.

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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