János Luka

3.0k citations
66 papers · 2.4k indexed · 1 hit paper · h-index 26

Impact in

Papers in

János Luka

64 papers receiving 2.2k citations

Hit Papers

Induction of the Epstein-Barr virus (EBV) cycle in latently infected cells by n-butyrate 1979 · 336 citations
3361979202619942010100200300

Peers

János Luka
Comparison fields: 5 of 100
  • Oncology 1.5k
  • Pathology and Forensic Medicine 648
  • Infectious Diseases 564
  • Epidemiology 973
  • Immunology 514
Replace J Menezes with:
J Menezes Canada
Muriel B. Lipman United States
Jerome E. Tanner Canada
Mary Hummel United States
Y. M. Barr United Kingdom
Martina Severa Italy
James W. Patterson United States
Andrew D. Hislop United Kingdom
Asuka Nanbo Japan
Per Höllsberg Denmark
János Luka relative to J Menezes Canada J Menezes's profile →
Citations per field
00.5×4.8×
J Menezes · 1×
Citations per year

Countries citing papers authored by János Luka

Since Specialization
Citations

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

Fields of papers citing papers by János Luka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201723
2 201111
3 2010244
4 200962
5 20062
6 20052
7 200143
8 199914
9 199717
10
Epstein-Barr virus (herpesvirus 4) types A, B and herpesvirus-6 variants A and B in patients presenting with recurrent upper respiratory inflammation, persistent paravertebral thoraco-lumbar muscle spasm and fatigue by polymerase chain reaction (PCR).
19973
11 199418
12 199043
13 19884
14 198822
15 198820
16 198444
17 19834
18 198311
19 19820
20 198123

About János Luka

János Luka is a scholar working on Oncology, Pathology and Forensic Medicine, Epidemiology, Immunology and Infectious Diseases, having authored 66 papers that have together received 2.4k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (45 papers), Cytomegalovirus and herpesvirus research (28 papers), Lymphoma Diagnosis and Treatment (19 papers), Herpesvirus Infections and Treatments (17 papers), T-cell and Retrovirus Studies (14 papers), Parvovirus B19 Infection Studies (13 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Eosinophilic Disorders and Syndromes (4 papers). The work is most often cited by research in Oncology (1.5k citations), Pathology and Forensic Medicine (648 citations), Infectious Diseases (564 citations), Epidemiology (973 citations) and Immunology (514 citations). János Luka has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include George Klein, Bengt Kallin, Gary R. Pearson, Gary Rhodes, Hans Jörnvall, Dharam V. Ablashi, Jean Roudier, Elliott Kieff, Tomas Lindahl and Jørgen Holm Petersen. Their work appears in journals such as Journal of Virology, Virology, Proceedings of the National Academy of Sciences, International Journal of Cancer and Cancer Letters.

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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