J Deák

586 citations
48 papers · 407 · h-index 13

Impact in

Papers in

    • Urinary Tract Infections Management 7
    • Cervical Cancer and HPV Research 7
    • Cytomegalovirus and herpesvirus research 4
    • Viral gastroenteritis research and epidemiology 8

J Deák

44 papers receiving 388 citations

Peers

J Deák
Comparison fields: 5 of 83
  • Microbiology 95
  • Infectious Diseases 141
  • Hepatology 37
  • Epidemiology 157
  • Animal Science and Zoology 36
Replace H. W. Doerr with:
H. W. Doerr Germany
Maud Salmona France
Nico Hartwig Netherlands
Colin G. Fink United Kingdom
Michèle Aymard France
Johannes Buitenwerf Netherlands
Winnie Dhaliwal United Kingdom
J. Petitjean-Lecherbonnier France
Sophie Vallet France
Luine Rosele Vidal Brazil
J Deák relative to H. W. Doerr Germany H. W. Doerr's profile →
Citations per field
00.5×2.8×
H. W. Doerr · 1×
Citations per year

Countries citing papers authored by J Deák

Since Specialization
Citations

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

Fields of papers citing papers by J Deák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201945
2 201130
3 199229
4 199828
5 201424
6 201319
7 201718
8 201616
9 200115
10 201414
11 201314
12 200213
13 199812
14 200111
15
Monitoring human herpesvirus-6 in patients with autologous stem cell transplantation.
201511
16 201010
17 200410
18 20019
19 20099
20 19977

About J Deák

J Deák is a scholar working on Epidemiology, Infectious Diseases, Microbiology, Cardiology and Cardiovascular Medicine and Surgery, having authored 48 papers that have together received 407 indexed citations. Recurring topics across this work include Reproductive tract infections research (11 papers), Viral gastroenteritis research and epidemiology (8 papers), Viral Infections and Immunology Research (7 papers), Urinary Tract Infections Management (7 papers), Cervical Cancer and HPV Research (7 papers), Bacterial Identification and Susceptibility Testing (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Microbiology (95 citations), Infectious Diseases (141 citations), Hepatology (37 citations), Epidemiology (157 citations) and Animal Science and Zoology (36 citations). J Deák has collaborated with scholars based in Hungary, Italy and Australia. Frequent co-authors include Marianna Ábrók, Beatrix Kele, Katalin Burián, Tibor Nyári, György Lengyel, László Kovács, Ákos Pap, Markus Kostrzewa, István Berbik and Gabriella Terhes. Their work appears in journals such as Journal of Clinical Virology, European Journal of Obstetrics & Gynecology and Reproductive Biology, Endoscopy, Journal of Microbiological Methods and Human Reproduction.

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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