Daniel P. Potaczek

3.3k citations
92 papers · 2.2k · h-index 28

Impact in

Papers in

    • Asthma and respiratory diseases 31
    • Mast cells and histamine 11
    • Immune Cell Function and Interaction 11
    • IL-33, ST2, and ILC Pathways 9

Daniel P. Potaczek

90 papers receiving 2.2k citations

Peers

Daniel P. Potaczek
Comparison fields: 5 of 103
  • Immunology and Allergy 319
  • Physiology 682
  • Immunology 501
  • Dermatology 177
  • Internal Medicine 44
Replace Roland Leung with:
Roland Leung China
Anna Bodzenta­‐Łukaszyk Poland
Johannes Waage Denmark
Meir Shalit Israel
María M. Escribese Spain
Arihiko Kanehiro Japan
Seung‐Hyo Lee South Korea
Ian Sayers United Kingdom
Sergejs Berdnikovs United States
Pietro Di Lucia Italy
Daniel P. Potaczek relative to Roland Leung China Roland Leung's profile →
Citations per field
00.5×2.9×
Roland Leung · 1×
Citations per year

Countries citing papers authored by Daniel P. Potaczek

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Potaczek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017195
2 2018174
3 2021117
4 201291
5 202075
6 202069
7 202264
8 202159
9 201656
10 201851
11 201950
12 202148
13 202048
14 201748
15 201346
16 201045
17 201943
18 200841
19 201336
20 200635

About Daniel P. Potaczek

Daniel P. Potaczek is a scholar working on Physiology, Immunology, Pulmonary and Respiratory Medicine, Molecular Biology and Immunology and Allergy, having authored 92 papers that have together received 2.2k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (31 papers), Mast cells and histamine (11 papers), Immune Cell Function and Interaction (11 papers), IL-33, ST2, and ILC Pathways (9 papers), Food Allergy and Anaphylaxis Research (8 papers), Epigenetics and DNA Methylation (5 papers), Lipoproteins and Cardiovascular Health (5 papers) and Blood Coagulation and Thrombosis Mechanisms (5 papers). The work is most often cited by research in Immunology and Allergy (319 citations), Physiology (682 citations), Immunology (501 citations), Dermatology (177 citations) and Internal Medicine (44 citations). Daniel P. Potaczek has collaborated with scholars based in Germany, Poland and United States. Frequent co-authors include Holger Garn, Bilal Alashkar Alhamwe, Hani Harb, Harald Renz, Fahd Alhamdan, Sarah Miethe, Michael Kabesch, Sven Michel, Jörg Tost and Harald Renz. Their work appears in journals such as Allergy, International Journal of Molecular Sciences, Frontiers in Immunology, Journal of Allergy and Clinical Immunology and Nutrients.

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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