John T. Halladay
Impact in
- Aging top 5%
- Cell Biology top 2%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Heat shock proteins research 4
- Protist diversity and phylogeny 4
- Genomics and Phylogenetic Studies 2
- Fungal and yeast genetics research 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Ecology 4
- Microbial Community Ecology and Physiology 4
- Co-authors
- Elizabeth A. Craig (5 shared papers)Philip James (1 shared paper)Shiladitya DasSarma (4 shared papers)Jeffrey G. Jones (3 shared papers)Thomas Ziegelhoffer (2 shared papers)Alexander MacDonald (1 shared paper)Jörg D. Becker (1 shared paper)William Walter (1 shared paper)
- Journals
- Journal of Bacteriology (2 papers)Gene (1 paper)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Genetics (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
John T. Halladay
9 papers receiving 2.6k citations
John T. Halladay's Hit Papers
Peers
Comparison fields: 5 of 93
- Aging 70
- Cell Biology 619
- Molecular Biology 2.1k
- Plant Science 537
- Endocrinology 60
Countries citing papers authored by John T. Halladay
This map shows the geographic impact of John T. Halladay'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 T. Halladay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Halladay more than expected).
Fields of papers citing papers by John T. Halladay
This network shows the impact of papers produced by John T. Halladay. 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 T. Halladay. The network helps show where John T. Halladay may publish in the future.
Co-authors
The 17 scholars most cited alongside John T. Halladay, 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 | Genomic Libraries and a Host Strain Designed for Highly Efficient Two-Hybrid Selection in Yeast Hit paper breakdown → | 1996 | 2289 |
| 2 | 1993 | 56 | |
| 3 | 1995 | 51 | |
| 4 | 1994 | 48 | |
| 5 | 1999 | 39 | |
| 6 | 1989 | 35 | |
| 7 | 1995 | 33 | |
| 8 | 1988 | 32 | |
| 9 | 1992 | 20 |
About John T. Halladay
John T. Halladay is a scholar working on Molecular Biology, Ecology, Physical and Theoretical Chemistry, Genetics and Insect Science, having authored 9 papers that have together received 2.6k indexed citations. Recurring topics across this work include Heat shock proteins research (4 papers), Protist diversity and phylogeny (4 papers), Microbial Community Ecology and Physiology (4 papers), thermodynamics and calorimetric analyses (3 papers), Genomics and Phylogenetic Studies (2 papers), Fungal and yeast genetics research (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Aging (70 citations), Cell Biology (619 citations), Molecular Biology (2.1k citations), Plant Science (537 citations) and Endocrinology (60 citations). John T. Halladay has collaborated with scholars based in United States and France. Frequent co-authors include Elizabeth A. Craig, Philip James, Shiladitya DasSarma, Jeffrey G. Jones, Thomas Ziegelhoffer, Alexander MacDonald, Jörg D. Becker, William Walter, Bonnie K. Baxter and Nelson Lopez. Their work appears in journals such as Journal of Bacteriology, Gene, Cold Spring Harbor Symposia on Quantitative Biology, 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.