Daniela Paclik

3.1k citations
21 papers · 969 · h-index 13

Impact in

  • Immunology top 5%
    • IL-33, ST2, and ILC Pathways
    • Immune Cell Function and Interaction
    • Galectins and Cancer Biology
  • Surgery top 10%
    • Eosinophilic Esophagitis

Papers in

    • Galectins and Cancer Biology 8
    • Immune Cell Function and Interaction 4
    • Macrophage Migration Inhibitory Factor 3
    • IL-33, ST2, and ILC Pathways 3
    • Eosinophilic Esophagitis 4

Daniela Paclik

20 papers receiving 958 citations

Peers

Daniela Paclik
Comparison fields: 5 of 74
  • Immunology 616
  • Surgery 300
  • Endocrinology 33
  • Gastroenterology 31
  • Food Science 90
Replace Alison L. Every with:
Alison L. Every Australia
Isabel E. Ishizuka United States
Thomas W. Spahn Germany
Erik‐Oliver Glocker Germany
Gaku Nakato Japan
Daniel Bachmann Switzerland
Yuehua Zhou China
Valentina Salucci Italy
Hans‐Olof Nilsson Sweden
Emanuela Palla Italy
Daniela Paclik relative to Alison L. Every Australia Alison L. Every's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela Paclik

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Paclik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006149
2 2013135
3 2014131
4 2008101
5 200787
6 201574
7 200871
8 201253
9 201143
10 200838
11 200826
12 201117
13 202213
14 20189
15 20218
16 20027
17 20252
18 20082
19 20062
20 20211

About Daniela Paclik

Daniela Paclik is a scholar working on Immunology, Surgery, Genetics, Epidemiology and Endocrinology, having authored 21 papers that have together received 969 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (8 papers), Inflammatory Bowel Disease (5 papers), Eosinophilic Esophagitis (4 papers), Immune Cell Function and Interaction (4 papers), Macrophage Migration Inhibitory Factor (3 papers), Microscopic Colitis (3 papers), IL-33, ST2, and ILC Pathways (3 papers) and Escherichia coli research studies (2 papers). The work is most often cited by research in Immunology (616 citations), Surgery (300 citations), Endocrinology (33 citations), Gastroenterology (31 citations) and Food Science (90 citations). Daniela Paclik has collaborated with scholars based in Germany, Italy and Croatia. Frequent co-authors include Andreas Sturm, Bertram Wiedenmann, Axel Dignaß, Chiara Romagnani, Uta Berndt, Silvio Danese, Lael Werner, Anja Dankof, U. Sonnenborn and Andreas Hutloff. Their work appears in journals such as Inflammatory Bowel Diseases, Immunity, Basic Research in Cardiology, Frontiers in Physiology and Cellular Immunology.

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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