Tina S. Morris
- Co-authors
- Scot R. WeinbergerMichael PawlakYuling LiBarbara MulloyZachary ShriverHenrik S. OlsenJohn D. CampbellBernardetta Nardelli
- Topics
- Chemokine receptors and signaling (3 papers)Heparin-Induced Thrombocytopenia and Thrombosis (2 papers)Antimicrobial Peptides and Activities (2 papers)
- Cited by
- ImmunologyCell BiologyHepatology
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Tina S. Morris
16 papers receiving 506 citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 205
- Immunology 140
- Cell Biology 95
- Oncology 79
- Spectroscopy 63
Countries citing papers authored by Tina S. Morris
This map shows the geographic impact of Tina S. Morris'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 Tina S. Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina S. Morris more than expected).
Fields of papers citing papers by Tina S. Morris
This network shows the impact of papers produced by Tina S. Morris. 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 Tina S. Morris. The network helps show where Tina S. Morris may publish in the future.
Co-authorship network of co-authors of Tina S. Morris
This figure shows the co-authorship network connecting the top 25 collaborators of Tina S. Morris. A scholar is included among the top collaborators of Tina S. Morris 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 Tina S. Morris. Tina S. Morris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 86 | |
| 4 | Collaborative study for the establishment of the WHO 3(rd) International Standard for Endotoxin, the Ph. Eur. endotoxin biological reference preparation batch 5 and the USP Reference Standard for Endotoxin Lot H0K354. | 10 |
| 5 | 34 | |
| 6 | 5 | |
| 7 | Heparin monographs further revised | 1 |
| 8 | An International Collaborative Study to Value Assign the 6th International Standard for Unfractionated Heparin and the US Pharmacopeial Heparin Reference Standard for Assay Lot F | 1 |
| 9 | 45 | |
| 10 | 67 | |
| 11 | 1 | |
| 12 | 89 | |
| 13 | 128 | |
| 14 | 35 | |
| 15 | 14 | |
| 16 | 9 | |
| 17 | 7 |
About Tina S. Morris
Tina S. Morris is a scholar working on Microbiology, Small Animals and Internal Medicine, having authored 17 papers that have together received 540 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (3 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Immunology (140 citations), Cell Biology (95 citations) and Hepatology (33 citations). Tina S. Morris has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Scot R. Weinberger, Michael Pawlak, Yuling Li, Barbara Mulloy, Zachary Shriver, Henrik S. Olsen, John D. Campbell, Bernardetta Nardelli, Gerard J. Graham and Theodora W. Salcedo. Their work appears in journals such as Nature Biotechnology, The Journal of Immunology and The Journal of Infectious Diseases.
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.