Joel D. A. Tyndall
- Microbiology top 1%
- Reproductive tract infections research 10
- Virology top 5%
- Molecular Biology top 2%
- Receptor Mechanisms and Signaling 14
- Chemical Synthesis and Analysis 14
- Pharmacological Receptor Mechanisms and Effects 7
- Infectious Diseases top 2%
- Antifungal resistance and susceptibility 18
- Organic Chemistry top 2%
- Click Chemistry and Applications 8
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- Peptidase Inhibition and Analysis 10
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- Neuropeptides and Animal Physiology 7
- Co-authors
- David P. FairlieBrian C. MonkGiovanni AbbenanteMikhail V. KeniyaRichard J. LewisMatthew P. GlennA. SagatovaRajni K. Wilson
- Journals
- Journal of Medicinal Chemistry (10 papers)Journal of Biological Chemistry (7 papers)Antimicrobial Agents and Chemotherapy (7 papers)
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
Joel D. A. Tyndall
110 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Microbiology 336
- Virology 212
- Molecular Biology 3.0k
- Infectious Diseases 798
- Organic Chemistry 1.1k
Countries citing papers authored by Joel D. A. Tyndall
This map shows the geographic impact of Joel D. A. Tyndall'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 Joel D. A. Tyndall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel D. A. Tyndall more than expected).
Fields of papers citing papers by Joel D. A. Tyndall
This network shows the impact of papers produced by Joel D. A. Tyndall. 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 Joel D. A. Tyndall. The network helps show where Joel D. A. Tyndall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joel D. A. Tyndall, 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 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 12 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 28 | |
| 8 | 2021 | 5 | |
| 9 | 2020 | 3 | |
| 10 | 2015 | 13 | |
| 11 | 2015 | 7 | |
| 12 | 2015 | 27 | |
| 13 | 2014 | 226 | |
| 14 | 2012 | 38 | |
| 15 | 2011 | 11 | |
| 16 | 2011 | 65 | |
| 17 | 2011 | 24 | |
| 18 | 2005 | 4 | |
| 19 | 2001 | 12 | |
| 20 | 2001 | 70 |
About Joel D. A. Tyndall
Joel D. A. Tyndall is a scholar working on Microbiology, Infectious Diseases and Virology, having authored 111 papers that have together received 6.0k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (18 papers), Receptor Mechanisms and Signaling (14 papers), Chemical Synthesis and Analysis (14 papers), Reproductive tract infections research (10 papers), Peptidase Inhibition and Analysis (10 papers), Click Chemistry and Applications (8 papers), Pharmacological Receptor Mechanisms and Effects (7 papers) and Neuropeptides and Animal Physiology (7 papers). The work is most often cited by research in Microbiology (336 citations), Virology (212 citations) and Molecular Biology (3.0k citations). Joel D. A. Tyndall has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include David P. Fairlie, Brian C. Monk, Giovanni Abbenante, Mikhail V. Keniya, Richard J. Lewis, Matthew P. Glenn, A. Sagatova, Rajni K. Wilson, Bernhard Pfeiffer and Wilhelmina M. Huston. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, Antimicrobial Agents and Chemotherapy, Chemical Reviews and European Journal of Medicinal Chemistry.
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.