Paul J. Bertics

8.1k citations
132 papers · 6.9k indexed · 1 hit paper · h-index 48

Impact in

Papers in

Paul J. Bertics

132 papers receiving 6.8k citations

Hit Papers

Epithelial contact guidance on well-defined micro- and nanostructured substrates 2003 · 773 citations
7732003202620102018250500750

Peers

Paul J. Bertics
Comparison fields: 5 of 134
  • Physiology 1.1k
  • Immunology and Allergy 373
  • Immunology 1.3k
  • Cell Biology 884
  • Endocrine and Autonomic Systems 249
Replace Ágnes Kittel with:
Ágnes Kittel Hungary
Junji Takeda Japan
Maria Rosaria Torrisi Italy
Pierre J. Courtoy Belgium
Alain Trautmann France
Makoto Matsui Japan
Akira Takashima United States
Garry R. Cutting United States
Tatiana Benavides Damm Switzerland
Vito Pistoia Italy
Paul J. Bertics relative to Ágnes Kittel Hungary Ágnes Kittel's profile →
Citations per field
00.5×1.5×2.4×
Ágnes Kittel · 1×
Citations per year

Countries citing papers authored by Paul J. Bertics

Since Specialization
Citations

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

Fields of papers citing papers by Paul J. Bertics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul J. Bertics. 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 Paul J. Bertics. The network helps show where Paul J. Bertics may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201417
2 201218
3 201031
4 201047
5 200946
6 200917
7 200797
8 200610
9 200611
10 20066
11 200564
12 200541
13 200493
14 200365
15 2001163
16 20005
17 200017
18 199954
19 199925
20 19994

About Paul J. Bertics

Paul J. Bertics is a scholar working on Physiology, Behavioral Neuroscience, Immunology, Immunology and Allergy and Oncology, having authored 132 papers that have together received 6.9k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (28 papers), Asthma and respiratory diseases (21 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), HER2/EGFR in Cancer Research (15 papers), Glycosylation and Glycoproteins Research (11 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Chemical Synthesis and Analysis (9 papers) and IL-33, ST2, and ILC Pathways (8 papers). The work is most often cited by research in Physiology (1.1k citations), Immunology and Allergy (373 citations), Immunology (1.3k citations), Cell Biology (884 citations) and Endocrine and Autonomic Systems (249 citations). Paul J. Bertics has collaborated with scholars based in United States, Russia and Netherlands. Frequent co-authors include Christopher J. Murphy, Ana I. Teixeira, Paul F. Nealey, Gordon N. Gill, Mary Ellen Bates, G. A. Abrams, Monica L. Gavala, Nicholas L. Abbott, Gregory J. Wiepz and G N Gill. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Journal of Leukocyte Biology, American Journal of Respiratory Cell and Molecular Biology and Endocrinology.

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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