John T. Halladay

3.1k citations
9 papers · 2.6k indexed · 1 hit paper · h-index 9

Impact in

  • Aging top 5%
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion

Papers in

John T. Halladay

9 papers receiving 2.6k citations

Hit Papers

Genomic Libraries and a Host Strain Designed for Highly Efficient Two-Hybrid Selection in Yeast 1996 · 2.3k citations
2.3k199620262006201650010001.5k2.0k

Peers

John T. Halladay
Comparison fields: 5 of 93
  • Aging 74
  • Cell Biology 621
  • Molecular Biology 2.2k
  • Plant Science 542
  • Endocrinology 60
Replace Philip James with:
Philip James United States
J. Schultz Germany
Dorota Skowyra United States
Steven G. Sedgwick United Kingdom
Katja Siegers Germany
William K. Holloman United States
Ted Powers United States
A G Hinnebusch United States
Kathleen Becherer United States
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John T. Halladay relative to Philip James United States Philip James's profile →
Citations per field
00.5×1.5×
Philip James · 1×
Citations per year

Countries citing papers authored by John T. Halladay

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with John T. Halladay Line = papers co-authored together John T. Halladay links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 199939
2
Genomic Libraries and a Host Strain Designed for Highly Efficient Two-Hybrid Selection in Yeast
Hit paper breakdown →
19962281
3 199550
4 199533
5 199448
6 199356
7 199220
8 198935
9 198832

About John T. Halladay

John T. Halladay is a scholar working on Physical and Theoretical Chemistry, Ecology, Molecular Biology, Insect Science and Genetics, having authored 9 papers that have together received 2.6k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (4 papers), Heat shock proteins research (4 papers), Protist diversity and phylogeny (4 papers), thermodynamics and calorimetric analyses (3 papers), Fungal and yeast genetics research (2 papers), Bacterial Genetics and Biotechnology (2 papers), Genomics and Phylogenetic Studies (2 papers) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Aging (74 citations), Cell Biology (621 citations), Molecular Biology (2.2k citations), Plant Science (542 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, Feng Lin, Bonnie K. Baxter, William Walter and Jörg D. Becker. Their work appears in journals such as Journal of Bacteriology, Gene, Genetics, Nucleic Acids Research and Proceedings of the National Academy of Sciences.

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.

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