Nicholas D. Condon
- Immunology top 5%
- Immune Response and Inflammation 5
- Immune cells in cancer 5
- Immunotherapy and Immune Responses 3
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 3
- Single-cell and spatial transcriptomics 3
- Biochemical and Structural Characterization 3
- Microbiology top 10%
- Cell Biology top 10%
- Cellular transport and secretion 5
- Nephrology top 10%
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- Cell Image Analysis Techniques 3
- Co-authors
- Matthew J. SweetKate SchroderKaiwen ChenJennifer L. StowJessica B. von PeinPetr BrožMercedes MonteleoneGabriel Sollberger
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Nature Communications (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Nicholas D. Condon
34 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Immunology 499
- Molecular Biology 708
- Microbiology 63
- Cell Biology 132
- Nephrology 52
Countries citing papers authored by Nicholas D. Condon
This map shows the geographic impact of Nicholas D. Condon'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 Nicholas D. Condon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas D. Condon more than expected).
Fields of papers citing papers by Nicholas D. Condon
This network shows the impact of papers produced by Nicholas D. Condon. 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 Nicholas D. Condon. The network helps show where Nicholas D. Condon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicholas D. Condon, 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 | 2024 | 4 | |
| 2 | 2023 | 8 | |
| 3 | 2022 | 4 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 17 | |
| 6 | 2021 | 26 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 16 | |
| 9 | 2020 | 34 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 21 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 30 | |
| 14 | 2020 | 8 | |
| 15 | 2019 | 18 | |
| 16 | 2018 | 82 | |
| 17 | 2016 | 12 | |
| 18 | 2016 | 22 | |
| 19 | 2015 | 5 | |
| 20 | 2014 | 109 |
About Nicholas D. Condon
Nicholas D. Condon is a scholar working on Biophysics, Immunology and Cell Biology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Immune Response and Inflammation (5 papers), Immune cells in cancer (5 papers), Glycosylation and Glycoproteins Research (3 papers), Single-cell and spatial transcriptomics (3 papers), Immunotherapy and Immune Responses (3 papers), Cell Image Analysis Techniques (3 papers) and Biochemical and Structural Characterization (3 papers). The work is most often cited by research in Immunology (499 citations), Molecular Biology (708 citations) and Microbiology (63 citations). Nicholas D. Condon has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Matthew J. Sweet, Kate Schroder, Kaiwen Chen, Jennifer L. Stow, Jessica B. von Pein, Petr Brož, Mercedes Monteleone, Gabriel Sollberger, Divya Ramnath and Dave Boucher. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.