Dávid Tornai

924 citations
33 papers · 644 · h-index 14

Impact in

Papers in

    • Liver Disease and Transplantation 9
    • Liver Diseases and Immunity 7
    • Liver Disease Diagnosis and Treatment 8
    • Sepsis Diagnosis and Treatment 2

Dávid Tornai

29 papers receiving 634 citations

Peers

Dávid Tornai
Comparison fields: 5 of 59
  • Hepatology 202
  • Pathology and Forensic Medicine 160
  • Epidemiology 252
  • Immunology 107
  • Biological Psychiatry 10
Replace Kolade M. Agboola with:
Kolade M. Agboola United States
Kunimaro Furuta Japan
Michitaka Matsuda Japan
Akira Sakamaki Japan
Marzena Swiderska‐Syn United States
Ning‐Ping Zhang China
Yanshen Peng China
Hirohisa Shigematsu Japan
C. Balabaud France
Sung W. Cho United States
Dávid Tornai relative to Kolade M. Agboola United States Kolade M. Agboola's profile →
Citations per field
00.5×7.5×
Kolade M. Agboola · 1×
Citations per year

Countries citing papers authored by Dávid Tornai

Since Specialization
Citations

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

Fields of papers citing papers by Dávid Tornai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017118
2 202295
3 202269
4 201956
5 201739
6 201827
7 201926
8 201623
9 201621
10 201821
11 201720
12 201919
13 202018
14 202318
15 202212
16 201110
17 202110
18 20238
19 20217
20 20237

About Dávid Tornai

Dávid Tornai is a scholar working on Hepatology, Epidemiology, Pathology and Forensic Medicine, Surgery and Immunology, having authored 33 papers that have together received 644 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (9 papers), Liver Disease Diagnosis and Treatment (8 papers), Liver Diseases and Immunity (7 papers), Alcohol Consumption and Health Effects (6 papers), Inflammation biomarkers and pathways (2 papers), Celiac Disease Research and Management (2 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (202 citations), Pathology and Forensic Medicine (160 citations), Epidemiology (252 citations), Immunology (107 citations) and Biological Psychiatry (10 citations). Dávid Tornai has collaborated with scholars based in Hungary, United States and Belgium. Frequent co-authors include Gyöngyi Szabó, Mária Papp, Donna Catalano, Zsuzsanna Vitális, Tamás Tornai, Patrick Lowe, Yeonhee Cho, István Tornai, Péter Antal‐Szalmás and Ioannis S. Vlachos. Their work appears in journals such as Journal of Hepatology, Liver International, World Journal of Gastroenterology, Hepatology and Gastroenterology.

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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