Michael Schirm
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Food Science top 5%
- Salmonella and Campylobacter epidemiology
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Pierre Thibault (6 shared papers)Susan M. Logan (6 shared papers)Annie Aubry (2 shared papers)John W. Austin (1 shared paper)Evelyn C. Soo (1 shared paper)Shiwani K. Arora (2 shared papers)Reuben Ramphal (2 shared papers)Patricia Guerry (1 shared paper)
- Journals
- Journal of Bacteriology (3 papers)Molecular Microbiology (2 papers)PROTEOMICS - CLINICAL APPLICATIONS (2 papers)Analytical Chemistry (1 paper)EBioMedicine (1 paper)
- Partner nations
- CanadaUnited StatesCosta Rica
In The Last Decade
Michael Schirm
12 papers receiving 999 citations
Peers
Comparison fields: 5 of 81
- Endocrinology 136
- Food Science 186
- Ecology 250
- Small Animals 68
- Molecular Biology 584
Countries citing papers authored by Michael Schirm
This map shows the geographic impact of Michael Schirm'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 Michael Schirm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schirm more than expected).
Fields of papers citing papers by Michael Schirm
This network shows the impact of papers produced by Michael Schirm. 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 Michael Schirm. The network helps show where Michael Schirm may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Schirm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 236 | |
| 2 | 2006 | 204 | |
| 3 | 2015 | 106 | |
| 4 | 2005 | 103 | |
| 5 | 2004 | 101 | |
| 6 | 2004 | 93 | |
| 7 | 2007 | 60 | |
| 8 | 2006 | 58 | |
| 9 | 2015 | 43 | |
| 10 | 2009 | 10 | |
| 11 | 2007 | 2 | |
| 12 | 2020 | 1 | |
| 13 | 2023 | 0 |
About Michael Schirm
Michael Schirm is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Ecology and Hematology, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Bacterial Genetics and Biotechnology (2 papers), Bacteriophages and microbial interactions (2 papers), Escherichia coli research studies (2 papers), Multiple Myeloma Research and Treatments (2 papers), Microbial Metabolites in Food Biotechnology (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Endocrinology (136 citations), Food Science (186 citations), Ecology (250 citations), Small Animals (68 citations) and Molecular Biology (584 citations). Michael Schirm has collaborated with scholars based in Canada, United States and Costa Rica. Frequent co-authors include Pierre Thibault, Susan M. Logan, Annie Aubry, John W. Austin, Evelyn C. Soo, Shiwani K. Arora, Reuben Ramphal, Patricia Guerry, Cheryl P. Ewing and María Lorenzo. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, PROTEOMICS - CLINICAL APPLICATIONS, Analytical Chemistry and EBioMedicine.
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.