Zachary Shriver
- Molecular Biology top 2%
- Cell Biology top 0.5%
- Organic Chemistry top 2%
- Epidemiology top 5%
- Immunology top 10%
- Co-authors
- Ram SasisekharanGanesh VenkataramanRahul RamanDongfang LiuKarthik ViswanathanS. RaguramIshan CapilaRobert J. Linhardt
- Topics
- Proteoglycans and glycosaminoglycans research (50 papers)Glycosylation and Glycoproteins Research (35 papers)Influenza Virus Research Studies (17 papers)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Zachary Shriver
91 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 2.5k
- Cell Biology 2.0k
- Organic Chemistry 815
- Epidemiology 542
- Immunology 347
Countries citing papers authored by Zachary Shriver
This map shows the geographic impact of Zachary Shriver'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 Zachary Shriver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zachary Shriver more than expected).
Fields of papers citing papers by Zachary Shriver
This network shows the impact of papers produced by Zachary Shriver. 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 Zachary Shriver. The network helps show where Zachary Shriver may publish in the future.
Co-authorship network of co-authors of Zachary Shriver
This figure shows the co-authorship network connecting the top 25 collaborators of Zachary Shriver. A scholar is included among the top collaborators of Zachary Shriver 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 Zachary Shriver. Zachary Shriver is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 62 | |
| 3 | 76 | |
| 4 | 27 | |
| 5 | 81 | |
| 6 | 21 | |
| 7 | 29 | |
| 8 | Glycan receptor specificity as a useful tool for characterization and surveillance of influenza A virus | 1 |
| 9 | Heparin and Heparan Sulfate: Analyzing Structure and Microheterogeneity [chapter] | 1 |
| 10 | Querying quantitative logic models (Q2LM) to study intracellular signaling networks and cell-cytokine interactions | 1 |
| 11 | 170 | |
| 12 | 6 | |
| 13 | 19 | |
| 14 | 22 | |
| 15 | 122 | |
| 16 | 36 | |
| 17 | 50 | |
| 18 | 37 | |
| 19 | 73 | |
| 20 | 2 |
About Zachary Shriver
Zachary Shriver is a scholar working on Cell Biology, Hematology and Molecular Biology, having authored 91 papers that have together received 4.2k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (50 papers), Glycosylation and Glycoproteins Research (35 papers) and Influenza Virus Research Studies (17 papers). The work is most often cited by research in Cell Biology (2.0k citations), Molecular Biology (2.5k citations) and Immunology and Allergy (180 citations). Zachary Shriver has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Ram Sasisekharan, Ganesh Venkataraman, Rahul Raman, Dongfang Liu, Karthik Viswanathan, S. Raguram, Ishan Capila, Robert J. Linhardt, K. Biemann and Yiwei Qi. Their work appears in journals such as Science, Cell 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.