Dániel Pécsi

1.4k citations
28 papers · 548 · h-index 14

Impact in

Papers in

    • Pancreatitis Pathology and Treatment 8
    • Pediatric Hepatobiliary Diseases and Treatments 6
    • Helicobacter pylori-related gastroenterology studies 5
    • Esophageal and GI Pathology 3
    • Pancreatic and Hepatic Oncology Research 11

Dániel Pécsi

25 papers receiving 535 citations

Peers

Dániel Pécsi
Comparison fields: 5 of 83
  • Gastroenterology 205
  • Sensory Systems 36
  • Complementary and Manual Therapy 15
  • Surgery 269
  • Physiology 116
Replace Paolo Andreozzi with:
Paolo Andreozzi Italy
Orsolya Huszár Hungary
Christian Pehl Germany
Miranda Voss South Africa
Shigeru Harasawa Japan
Hermann Harder Germany
Manabu Ishii Japan
G. Coccia Italy
François Dyard France
Matthew Q. Bromer United States
Dániel Pécsi relative to Paolo Andreozzi Italy Paolo Andreozzi's profile →
Citations per field
00.5×1.7×
Paolo Andreozzi · 1×
Citations per year

Countries citing papers authored by Dániel Pécsi

Since Specialization
Citations

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

Fields of papers citing papers by Dániel Pécsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017120
2 201667
3 201848
4 201727
5 201626
6 201725
7 201825
8 201924
9 201924
10 201723
11 201823
12 202018
13 202115
14 202014
15 201810
16 202210
17 20209
18 20209
19 20208
20 20207

About Dániel Pécsi

Dániel Pécsi is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Gastroenterology and Epidemiology, having authored 28 papers that have together received 548 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (11 papers), Gallbladder and Bile Duct Disorders (9 papers), Pancreatitis Pathology and Treatment (8 papers), Pediatric Hepatobiliary Diseases and Treatments (6 papers), Helicobacter pylori-related gastroenterology studies (5 papers), Liver Disease Diagnosis and Treatment (3 papers), Esophageal and GI Pathology (3 papers) and Gastrointestinal motility and disorders (2 papers). The work is most often cited by research in Gastroenterology (205 citations), Sensory Systems (36 citations), Complementary and Manual Therapy (15 citations), Surgery (269 citations) and Physiology (116 citations). Dániel Pécsi has collaborated with scholars based in Hungary, Romania and Slovakia. Frequent co-authors include Áron Vincze, Márta Balaskó, Péter Hegyi, András Garami, Imre Szabó, József Czimmer, Judit Bajor, Zsolt Szakács, Alexandra Mikó and Nelli Farkas. Their work appears in journals such as Endoscopy, PLoS ONE, Journal of Clinical Medicine, Pancreatology and Clinical and Translational 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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