Daniel Pavlic

413 citations
12 papers · 210 · h-index 5

Impact in

    • IL-33, ST2, and ILC Pathways
    • Immune Cell Function and Interaction
    • Eosinophilic Esophagitis
    • Helicobacter pylori-related gastroenterology studies

Papers in

Daniel Pavlic

10 papers receiving 207 citations

Peers

Daniel Pavlic
Comparison fields: 5 of 47
  • Immunology 106
  • Surgery 111
  • Hepatology 20
  • Infectious Diseases 46
  • Gastroenterology 12
Replace Antonio López-Sanromán with:
Antonio López-Sanromán Spain
N. Maàmouri Tunisia
M. Fekih Tunisia
Tihong Shao China
Mario Fox Germany
Koji Kamikozuru Japan
Petrease H Patton Canada
Federica Vecchio Italy
Aurelio Lorenzo Spain
Daniel Pavlic relative to Antonio López-Sanromán Spain Antonio López-Sanromán's profile →
Citations per field
00.5×
Antonio López-Sanromán · 1×
Citations per year

Countries citing papers authored by Daniel Pavlic

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pavlic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201581
2 201558
3 201724
4 201418
5 202217
6
Future of Internet technologies
20124
7 20204
8 20232
9 20181
10 20211
11 20240
12 20250

About Daniel Pavlic

Daniel Pavlic is a scholar working on Infectious Diseases, Surgery, Immunology, Hepatology and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 210 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (8 papers), IL-33, ST2, and ILC Pathways (3 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Eosinophilic Esophagitis (2 papers), Software Engineering and Design Patterns (1 paper), Advanced Thermodynamic Systems and Engines (1 paper), Service-Oriented Architecture and Web Services (1 paper) and Web Applications and Data Management (1 paper). The work is most often cited by research in Immunology (106 citations), Surgery (111 citations), Hepatology (20 citations), Infectious Diseases (46 citations) and Gastroenterology (12 citations). Daniel Pavlic has collaborated with scholars based in Australia, United States and Malawi. Frequent co-authors include Louise M. Judd, Trevelyan R. Menheniott, Jon N. Buzzelli, Andrew S. Giraud, Philip Sutton, Joërg Mattes, Ralf G. Heine, Julie E. Bines, Daniel Cowley and Neil M. O’Brien‐Simpson. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Human Vaccines & Immunotherapeutics, Vaccine, Cellular and Molecular Gastroenterology and Hepatology and Viruses.

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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