Gábor Ternák

662 citations
27 papers · 188 · h-index 8

Impact in

Papers in

Gábor Ternák

26 papers receiving 180 citations

Peers

Gábor Ternák
Comparison fields: 5 of 68
  • Applied Microbiology and Biotechnology 13
  • Molecular Medicine 30
  • Parasitology 19
  • Biological Psychiatry 7
  • Endocrinology 14
Replace Mahir Kapmaz with:
Mahir Kapmaz Türkiye
Eren Çağan Türkiye
Chad M. Centner South Africa
Nevin İnce Türkiye
Yurong Tan China
Ayşe Özlem Mete Türkiye
Arik Segal Israel
Pavlo Petakh Ukraine
Mohamed Chakkour Lebanon
B. Pillay South Africa
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Citations per year

Countries citing papers authored by Gábor Ternák

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Ternák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200437
2 200626
3 202025
4 200720
5 202210
6 20209
7 20227
8
Physiological effect of orally administered endotoxin to man.
19747
9 20206
10 20225
11 20154
12 20114
13 20223
14 20233
15 20213
16 20223
17
[Simple parameters of antibiotic utilization and diagnostic background of antimicrobial therapy in Hungarian hospitals in 1995].
19973
18
[Clinical aspects of the diagnosis and treatment of infectious mononucleosis in primary care and in departments of infectious diseases].
20013
19
The serological signs of the Epstein-Barr virus (EBV) activity in the elderly.
19972
20 20081

About Gábor Ternák

Gábor Ternák is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Applied Microbiology and Biotechnology and Physiology, having authored 27 papers that have together received 188 indexed citations. Recurring topics across this work include Gut microbiota and health (8 papers), Antibiotic Use and Resistance (5 papers), Alzheimer's disease research and treatments (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Tryptophan and brain disorders (2 papers), Urinary Tract Infections Management (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (13 citations), Molecular Medicine (30 citations), Parasitology (19 citations), Biological Psychiatry (7 citations) and Endocrinology (14 citations). Gábor Ternák has collaborated with scholars based in Hungary, Switzerland and Germany. Frequent co-authors include Krisztina Kovács, Lajos Bogár, Uwe Nicolay, Olaf Zent, Balázs Németh, Angelika Banzhoff, István Kiss, Levente Emödy, János Minárovits and M Gacs. Their work appears in journals such as Antibiotics, Scientific Reports, Frontiers in Endocrinology, Human Vaccines and Antimicrobial Agents and Chemotherapy.

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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