Daniel L. Hurdiss
- Infectious Diseases top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Animal Science and Zoology top 5%
- Structural Biology top 2%
- Co-authors
- Neil A. RansonFrank J. M. van KuppeveldIeva DrulyteRebecca F. ThompsonBerend‐Jan BoschAndrew MacdonaldStephen P. MuenchEmma L. Hesketh
- Topics
- SARS-CoV-2 and COVID-19 Research (8 papers)Bacteriophages and microbial interactions (7 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Daniel L. Hurdiss
26 papers receiving 666 citations
Peers
Comparison fields: 5 of 79
- Infectious Diseases 288
- Molecular Biology 248
- Cardiology and Cardiovascular Medicine 106
- Animal Science and Zoology 102
- Structural Biology 93
Countries citing papers authored by Daniel L. Hurdiss
This map shows the geographic impact of Daniel L. Hurdiss'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 Daniel L. Hurdiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Hurdiss more than expected).
Fields of papers citing papers by Daniel L. Hurdiss
This network shows the impact of papers produced by Daniel L. Hurdiss. 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 Daniel L. Hurdiss. The network helps show where Daniel L. Hurdiss may publish in the future.
Co-authorship network of co-authors of Daniel L. Hurdiss
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Hurdiss. A scholar is included among the top collaborators of Daniel L. Hurdiss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel L. Hurdiss. Daniel L. Hurdiss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 37 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 18 | |
| 10 | 95 | |
| 11 | 42 | |
| 12 | 24 | |
| 13 | 21 | |
| 14 | 21 | |
| 15 | 21 | |
| 16 | 17 | |
| 17 | 32 | |
| 18 | 97 | |
| 19 | 27 | |
| 20 | 44 |
About Daniel L. Hurdiss
Daniel L. Hurdiss is a scholar working on Structural Biology, Infectious Diseases and Animal Science and Zoology, having authored 27 papers that have together received 669 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Bacteriophages and microbial interactions (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Structural Biology (93 citations), Infectious Diseases (288 citations) and Animal Science and Zoology (102 citations). Daniel L. Hurdiss has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Neil A. Ranson, Frank J. M. van Kuppeveld, Ieva Drulyte, Rebecca F. Thompson, Berend‐Jan Bosch, Andrew Macdonald, Stephen P. Muench, Emma L. Hesketh, Charlotte A. Scarff and Rachel M. Johnson. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.