Thomas Haselhorst
- Molecular Biology top 10%
- Epidemiology top 10%
- Infectious Diseases top 5%
- Organic Chemistry top 5%
- Immunology top 10%
- Co-authors
- Mark von ItzsteinSarah McAtamneyJimmy C. C. LaiJohn M. NichollsYun ShiJuliane MayrIvan A. GagarinovKam Lau
- Topics
- Glycosylation and Glycoproteins Research (31 papers)Carbohydrate Chemistry and Synthesis (16 papers)Influenza Virus Research Studies (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Thomas Haselhorst
73 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Molecular Biology 1.3k
- Epidemiology 456
- Infectious Diseases 433
- Organic Chemistry 423
- Immunology 268
Countries citing papers authored by Thomas Haselhorst
This map shows the geographic impact of Thomas Haselhorst'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 Thomas Haselhorst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Haselhorst more than expected).
Fields of papers citing papers by Thomas Haselhorst
This network shows the impact of papers produced by Thomas Haselhorst. 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 Thomas Haselhorst. The network helps show where Thomas Haselhorst may publish in the future.
Co-authorship network of co-authors of Thomas Haselhorst
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Haselhorst. A scholar is included among the top collaborators of Thomas Haselhorst 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 Thomas Haselhorst. Thomas Haselhorst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 48 | |
| 6 | 100 | |
| 7 | 17 | |
| 8 | 32 | |
| 9 | 90 | |
| 10 | 32 | |
| 11 | 5 | |
| 12 | 34 | |
| 13 | 10 | |
| 14 | 40 | |
| 15 | 7 | |
| 16 | 45 | |
| 17 | 50 | |
| 18 | 3 | |
| 19 | 49 | |
| 20 | 16 |
About Thomas Haselhorst
Thomas Haselhorst is a scholar working on Endocrinology, Microbiology and Infectious Diseases, having authored 73 papers that have together received 2.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (31 papers), Carbohydrate Chemistry and Synthesis (16 papers) and Influenza Virus Research Studies (12 papers). The work is most often cited by research in Infectious Diseases (433 citations), Endocrinology (100 citations) and Molecular Biology (1.3k citations). Thomas Haselhorst has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Mark von Itzstein, Sarah McAtamney, Jimmy C. C. Lai, John M. Nicholls, Yun Shi, Juliane Mayr, Ivan A. Gagarinov, Kam Lau, Renee W. Y. Chan and Christopher J. Day. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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.