Roman Jaksik

1.6k citations
45 papers · 1.1k indexed · 1 hit paper · h-index 16
Topics
MicroRNA in disease regulation (10 papers)Gene expression and cancer classification (7 papers)RNA modifications and cancer (7 papers)
Journals
SHILAP Revista de lepidopterologíaBloodScientific Reports

In The Last Decade

Roman Jaksik

44 papers receiving 1.0k citations

Hit Papers

Chronic infection drives Dnmt3a-loss-of-function clonal h...2021202620222024202150100150200

Peers

Roman Jaksik
Comparison fields: 5 of 122
  • Molecular Biology 556
  • Cancer Research 216
  • Hematology 195
  • Immunology 176
  • Epidemiology 110
Replace Kageaki Kuribayashi with:
Kageaki Kuribayashi Japan
Jiandong Zhang China
Lorena Martinez‐Gamboa Germany
Antônio Palumbo Brazil
S. A. Roumiantsev Russia
Zhengshan Chen China
Chiara Romano Italy
Wenjuan Yang China
Roger Strair United States
Long Gao China
Roman Jaksik relative to Kageaki Kuribayashi Japan Kageaki Kuribayashi's profile →
Citations per field
00.5×
Kageaki Kuribayashi · 1×
Citations per year

Countries citing papers authored by Roman Jaksik

Since Specialization
Citations

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

Fields of papers citing papers by Roman Jaksik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Jaksik

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 8
3 22
4 3
5 5
6 4
7 7
8 12
9 8
10 5
11 27
12 36
13 2
14 25
15 0
16 3
17 62
18 15
19 15
20 17

About Roman Jaksik

Roman Jaksik is a scholar working on Cancer Research, Molecular Biology and Hematology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Gene expression and cancer classification (7 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Hematology (195 citations), Cancer Research (216 citations) and Genetics (99 citations). Roman Jaksik has collaborated with scholars based in Poland, United States and Belgium. Frequent co-authors include Joanna Rzeszowska‐Wolny, Marek Kimmel, Elaheh Sajjadi, Marek Łoś, Wiem Chaabane, Katherine Y. King, Katie A. Matatall, Marta Iwanaszko, Paweł Kuś and Bailee Kain. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Scientific Reports.

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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