Tomasz Dzieciątkowski

2.0k citations
84 papers · 1.2k indexed · h-index 15

Tomasz Dzieciątkowski

76 papers receiving 1.2k citations

Peers

Tomasz Dzieciątkowski
Comparison fields: 5 of 115
  • Infectious Diseases 427
  • Oncology 338
  • Molecular Medicine 61
  • Parasitology 76
  • Immunology 218
Replace F. Chiarini with:
F. Chiarini Italy
Lutz von Müller Germany
Francesco Broccolo Italy
Masao Tateyama Japan
Mario Rassu Italy
Yutaka Tokue Japan
Clara Larcher Austria
Éric Abachin France
Patricia J. Dubin United States
Riina Rautemaa Finland
Tomasz Dzieciątkowski relative to F. Chiarini Italy F. Chiarini's profile →
Citations per field
00.5×12.5×
F. Chiarini · 1×
Citations per year

Countries citing papers authored by Tomasz Dzieciątkowski

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz Dzieciątkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tomasz Dzieciątkowski, 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 Tomasz Dzieciątkowski Line = papers co-authored together Tomasz Dzieciątkowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202417
3 20240
4 20231
5 202349
6 202215
7 20214
8 20212
9 20201
10
Zastosowanie techniki real-time PCR w wirusologii
20151
11 20155
12 201314
13 20134
14 20134
15
Zakażenia ortomyksowirusami u osób z zaburzeniami odporności
20120
16 201011
17 20100
18
Evaluation of a real-time PCR assay using the LightCycler® system for detection of equine herpesvirus type 1 DNA.
20082
19 20074
20 20068

About Tomasz Dzieciątkowski

Tomasz Dzieciątkowski is a scholar working on Infectious Diseases, Epidemiology and Parasitology, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (25 papers), Herpesvirus Infections and Treatments (24 papers), Virus-based gene therapy research (12 papers), Viral-associated cancers and disorders (9 papers), Respiratory viral infections research (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Animal Disease Management and Epidemiology (7 papers) and Influenza Virus Research Studies (5 papers). The work is most often cited by research in Infectious Diseases (427 citations), Oncology (338 citations) and Molecular Medicine (61 citations). Tomasz Dzieciątkowski has collaborated with scholars based in Poland, Germany and Japan. Frequent co-authors include Paula Dobosz, Anna Golke, W Wiktor-Jędrzejczak, Grzegorz Basak, Paweł Grzesiowski, Jarosław Biliński, Marta Wróblewska, Łukasz Szarpak, Krzysztof J. Filipiak‬ and Jadwiga Dwilewicz‐Trojaczek. Their work appears in journals such as Blood, PLoS ONE and Clinical Infectious Diseases.

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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