Pawel Gajer
- Microbiology top 0.01%
- Molecular Biology top 1%
- Epidemiology top 0.5%
- Rheumatology top 0.2%
- Immunology top 2%
- Co-authors
- Jacques RavelRebecca M. BrotmanLarry J. ForneySara S. K. KoenigZaid AbdoBing MaDouglas FadroshKevin A. Ault
- Topics
- Reproductive tract infections research (50 papers)Gut microbiota and health (25 papers)Urinary Tract Infections Management (23 papers)
- Cited by
- MicrobiologyEpidemiologyRheumatology
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Pawel Gajer
64 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Microbiology 5.4k
- Molecular Biology 5.2k
- Epidemiology 4.2k
- Rheumatology 1.8k
- Immunology 1.1k
Countries citing papers authored by Pawel Gajer
This map shows the geographic impact of Pawel Gajer'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 Pawel Gajer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pawel Gajer more than expected).
Fields of papers citing papers by Pawel Gajer
This network shows the impact of papers produced by Pawel Gajer. 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 Pawel Gajer. The network helps show where Pawel Gajer may publish in the future.
Co-authorship network of co-authors of Pawel Gajer
This figure shows the co-authorship network connecting the top 25 collaborators of Pawel Gajer. A scholar is included among the top collaborators of Pawel Gajer 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 Pawel Gajer. Pawel Gajer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 11 | |
| 6 | 20 | |
| 7 | 119 | |
| 8 | 29 | |
| 9 | 4 | |
| 10 | 293 | |
| 11 | An improved dual-indexing approach for multiplexed 16S rRNA gene sequencing on the Illumina MiSeq platformbreakdown → | 1331 |
| 12 | 120 | |
| 13 | The vaginal microbiota of pregnant women who subsequently have spontaneous preterm labor and delivery and those with a normal delivery at termbreakdown → | 296 |
| 14 | 226 | |
| 15 | 298 | |
| 16 | 129 | |
| 17 | Fecal microbial determinants of fecal and systemic estrogens and estrogen metabolites: a cross-sectional studybreakdown → | 460 |
| 18 | 57 | |
| 19 | Moving pictures of the human microbiomebreakdown → | 846 |
| 20 | Vaginal microbiome of reproductive-age womenbreakdown → | 2923 |
About Pawel Gajer
Pawel Gajer is a scholar working on Microbiology, Rheumatology and Epidemiology, having authored 69 papers that have together received 11.2k indexed citations. Recurring topics across this work include Reproductive tract infections research (50 papers), Gut microbiota and health (25 papers) and Urinary Tract Infections Management (23 papers). The work is most often cited by research in Microbiology (5.4k citations), Epidemiology (4.2k citations) and Rheumatology (1.8k citations). Pawel Gajer has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Jacques Ravel, Rebecca M. Brotman, Larry J. Forney, Sara S. K. Koenig, Zaid Abdo, Bing Ma, Douglas Fadrosh, Kevin A. Ault, Stacey L. McCulle and Gudrun Schneider. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.