Roman Dziarski
- Immunology top 0.1%
- Microbiology top 0.05%
- Molecular Biology top 5%
- Epidemiology top 2%
- Insect Science top 0.5%
- Co-authors
- Dipika GuptaCarsten J. KirschningHolger WescheRalf SchwandnerMike RotheJulien RoyetChao LiuAtsutoshi Yoshimura
- Topics
- Immune Response and Inflammation (37 papers)Antimicrobial Peptides and Activities (33 papers)Glycosylation and Glycoproteins Research (20 papers)
- Cited by
- MicrobiologyImmunologyEndocrinology
- Partner nations
- United StatesFranceGermany
In The Last Decade
Roman Dziarski
106 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Immunology 6.8k
- Microbiology 2.3k
- Molecular Biology 2.3k
- Epidemiology 1.4k
- Insect Science 747
Countries citing papers authored by Roman Dziarski
This map shows the geographic impact of Roman Dziarski'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 Roman Dziarski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Dziarski more than expected).
Fields of papers citing papers by Roman Dziarski
This network shows the impact of papers produced by Roman Dziarski. 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 Roman Dziarski. The network helps show where Roman Dziarski may publish in the future.
Co-authorship network of co-authors of Roman Dziarski
This figure shows the co-authorship network connecting the top 25 collaborators of Roman Dziarski. A scholar is included among the top collaborators of Roman Dziarski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roman Dziarski. Roman Dziarski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | How innate immunity proteins kill bacteria and why they are not prone to resistance | 1 |
| 2 | Bactericidal peptidoglycan recognition protein induces oxidative stress in Escherichia coli through a block in respiratory chain and increase in central carbon catabolism | 1 |
| 3 | 26 | |
| 4 | 37 | |
| 5 | 293 | |
| 6 | 126 | |
| 7 | 108 | |
| 8 | 103 | |
| 9 | 311 | |
| 10 | 192 | |
| 11 | 255 | |
| 12 | 312 | |
| 13 | 65 | |
| 14 | 8 | |
| 15 | 74 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | Stimulation of reticuloendothelial system and toxicity to macrophages of Staphylococcus aureus cell wall, peptidoglycan, and teichoic acid. | 3 |
| 19 | Susceptibility of clinically important gram-negative bacilli to 15 antibiotics. Comparison of patterns in Poland and Federal Republic of Germany. | 1 |
| 20 | Susceptibility of Staphylococcus aureus, Streptococcus pyogenes and Diplococcus pneumoniae to antibiotics. Comparison of patterns in Poland and Federal Republic of Germany. | 8 |
About Roman Dziarski
Roman Dziarski is a scholar working on Microbiology, Immunology and Endocrinology, having authored 107 papers that have together received 9.9k indexed citations. Recurring topics across this work include Immune Response and Inflammation (37 papers), Antimicrobial Peptides and Activities (33 papers) and Glycosylation and Glycoproteins Research (20 papers). The work is most often cited by research in Microbiology (2.3k citations), Immunology (6.8k citations) and Endocrinology (511 citations). Roman Dziarski has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Dipika Gupta, Carsten J. Kirschning, Holger Wesche, Ralf Schwandner, Mike Rothe, Julien Royet, Chao Liu, Atsutoshi Yoshimura, Douglas T. Golenbock and Robin R. Ingalls. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Blood.
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.