John Hanish
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Advanced biosensing and bioanalysis techniques 3
- Fungal and yeast genetics research 2
- Epigenetics and DNA Methylation 2
- CRISPR and Genetic Engineering 2
-
- Telomeres, Telomerase, and Senescence 2
- Co-authors
- Titia de Lange (2 shared papers)Bas van Steensel (1 shared paper)Dominique Broccoli (1 shared paper)Hediye Erdjument‐Bromage (1 shared paper)Paul Tempst (1 shared paper)Michael McClelland (6 shared papers)Judith L. Yanowitz (1 shared paper)Yogesh Patel (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Science (1 paper)Genetics (1 paper)Proceedings of the National Academy of Sciences (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- United States
In The Last Decade
John Hanish
10 papers receiving 976 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Aging 124
- Physiology 608
- Molecular Biology 770
- Biotechnology 55
- Plant Science 213
Countries citing papers authored by John Hanish
This map shows the geographic impact of John Hanish'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 John Hanish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Hanish more than expected).
Fields of papers citing papers by John Hanish
This network shows the impact of papers produced by John Hanish. 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 John Hanish. The network helps show where John Hanish may publish in the future.
Co-authors
The 13 scholars most cited alongside John Hanish, 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 | A Human Telomeric Protein Hit paper breakdown → | 1995 | 567 |
| 2 | 1994 | 174 | |
| 3 | 1988 | 114 | |
| 4 | 1996 | 62 | |
| 5 | 1988 | 32 | |
| 6 | 1998 | 20 | |
| 7 | 1990 | 13 | |
| 8 | 1991 | 9 | |
| 9 | 1989 | 6 | |
| 10 | 1991 | 3 |
About John Hanish
John Hanish is a scholar working on Molecular Biology, Physiology, Ecology, Public Health, Environmental and Occupational Health and Hematology, having authored 10 papers that have together received 1000 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (3 papers), Fungal and yeast genetics research (2 papers), Epigenetics and DNA Methylation (2 papers), CRISPR and Genetic Engineering (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Aging (124 citations), Physiology (608 citations), Molecular Biology (770 citations), Biotechnology (55 citations) and Plant Science (213 citations). John Hanish has collaborated with scholars based in United States. Frequent co-authors include Titia de Lange, Bas van Steensel, Dominique Broccoli, Hediye Erdjument‐Bromage, Paul Tempst, Michael McClelland, Judith L. Yanowitz, Yogesh Patel, Michael Nelson and Arthur J. Lustig. Their work appears in journals such as Nucleic Acids Research, Science, Genetics, Proceedings of the National Academy of Sciences and Analytical Biochemistry.
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.