Michael E. Gruidl
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Glutathione Transferases and Polymorphisms 1
- RNA and protein synthesis mechanisms 1
- Genomics and Phylogenetic Studies 1
- DNA Repair Mechanisms 1
- Genetics 6
- Bacterial Genetics and Biotechnology 3
- Evolution and Genetic Dynamics 1
- Co-authors
- Pliny A. Smith (1 shared paper)Karen L. Bennett (1 shared paper)Gisela Mosig (4 shared papers)Deborah L. Roussell (1 shared paper)Susan Strome (1 shared paper)Jun Zou (1 shared paper)Gail S. Wright (1 shared paper)Lihua Li (1 shared paper)
- Journals
- Artificial Intelligence in Medicine (1 paper)Molecular Human Reproduction (1 paper)FEMS Microbiology Reviews (1 paper)Genetics (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Michael E. Gruidl
9 papers receiving 491 citations
Peers
Comparison fields: 5 of 88
- Aging 105
- Health Information Management 32
- Genetics 145
- Molecular Biology 340
- Ecology 74
Countries citing papers authored by Michael E. Gruidl
This map shows the geographic impact of Michael E. Gruidl'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 E. Gruidl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. Gruidl more than expected).
Fields of papers citing papers by Michael E. Gruidl
This network shows the impact of papers produced by Michael E. Gruidl. 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 E. Gruidl. The network helps show where Michael E. Gruidl may publish in the future.
Co-authors
The 15 scholars most cited alongside Michael E. Gruidl, 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 | 1996 | 211 | |
| 2 | 2004 | 146 | |
| 3 | 1995 | 47 | |
| 4 | 2000 | 36 | |
| 5 | 1997 | 25 | |
| 6 | 1986 | 23 | |
| 7 | 1991 | 14 | |
| 8 | 1988 | 7 | |
| 9 | 2000 | 2 |
About Michael E. Gruidl
Michael E. Gruidl is a scholar working on Molecular Biology, Genetics, Ecology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 511 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (4 papers), Bacterial Genetics and Biotechnology (3 papers), Evolution and Genetic Dynamics (1 paper), Genetic factors in colorectal cancer (1 paper), Glutathione Transferases and Polymorphisms (1 paper), RNA and protein synthesis mechanisms (1 paper), Genomics and Phylogenetic Studies (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Aging (105 citations), Health Information Management (32 citations), Genetics (145 citations), Molecular Biology (340 citations) and Ecology (74 citations). Michael E. Gruidl has collaborated with scholars based in United States and Italy. Frequent co-authors include Pliny A. Smith, Karen L. Bennett, Gisela Mosig, Deborah L. Roussell, Susan Strome, Jun Zou, Gail S. Wright, Lihua Li, Melvyn S. Tockman and Robert A. Clark. Their work appears in journals such as Artificial Intelligence in Medicine, Molecular Human Reproduction, FEMS Microbiology Reviews, Genetics and Nucleic Acids Research.
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.