Michael E. Gruidl
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Co-authors
- Karen L. Bennett (1 shared paper)Susan Strome (1 shared paper)Gisela Mosig (4 shared papers)Pliny A. Smith (1 shared paper)Deborah L. Roussell (1 shared paper)Hong Tang (1 shared paper)Jun Zou (1 shared paper)Robert Alfred Clark (1 shared paper)
- Journals
- Genetics (1 paper)Nucleic Acids Research (1 paper)Virology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Artificial Intelligence in Medicine (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Michael E. Gruidl
10 papers receiving 1.4k citations
Michael E. Gruidl's Hit Papers
Peers
Comparison fields: 5 of 102
- Aging 105
- Cancer Research 255
- Molecular Biology 804
- Pulmonary and Respiratory Medicine 332
- Oncology 220
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 | Gene expression–based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study Hit paper breakdown → | 2008 | 957 |
| 2 | 1996 | 210 | |
| 3 | 2004 | 158 | |
| 4 | 1995 | 46 | |
| 5 | 2000 | 36 | |
| 6 | 1997 | 26 | |
| 7 | 1986 | 24 | |
| 8 | 1991 | 14 | |
| 9 | 1988 | 8 | |
| 10 | 2000 | 2 |
About Michael E. Gruidl
Michael E. Gruidl is a scholar working on Genetics, Ecology, Molecular Biology, Aging and Endocrinology, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (4 papers), Bacterial Genetics and Biotechnology (3 papers), Lung Cancer Treatments and Mutations (2 papers), CRISPR and Genetic Engineering (1 paper), Genomics and Phylogenetic Studies (1 paper), Gene expression and cancer classification (1 paper), RNA modifications and cancer (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Aging (105 citations), Cancer Research (255 citations), Molecular Biology (804 citations), Pulmonary and Respiratory Medicine (332 citations) and Oncology (220 citations). Michael E. Gruidl has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Karen L. Bennett, Susan Strome, Gisela Mosig, Pliny A. Smith, Deborah L. Roussell, Hong Tang, Jun Zou, Robert Alfred Clark, Melvyn S. Tockman and Lihua Li. Their work appears in journals such as Genetics, Nucleic Acids Research, Virology, Proceedings of the National Academy of Sciences and Artificial Intelligence in Medicine.
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.