Pierette M. Appasamy
- Co-authors
- Michael B. PrystowskyDiane H. RussellCharles V. ClevengerAlbert B. DeLeoEttore AppellaDouglas J. LoftusMichael T. LotzeWalter J. Storkus
- Topics
- Immune Cell Function and Interaction (6 papers)T-cell and B-cell Immunology (3 papers)Glycosylation and Glycoproteins Research (2 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchThe Journal of Experimental Medicine
- Partner nations
- United StatesSerbiaSweden
In The Last Decade
Pierette M. Appasamy
20 papers receiving 641 citations
Peers
Comparison fields: 5 of 83
- Immunology 403
- Oncology 213
- Molecular Biology 211
- Genetics 101
- Endocrinology, Diabetes and Metabolism 73
Countries citing papers authored by Pierette M. Appasamy
This map shows the geographic impact of Pierette M. Appasamy'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 Pierette M. Appasamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierette M. Appasamy more than expected).
Fields of papers citing papers by Pierette M. Appasamy
This network shows the impact of papers produced by Pierette M. Appasamy. 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 Pierette M. Appasamy. The network helps show where Pierette M. Appasamy may publish in the future.
Co-authorship network of co-authors of Pierette M. Appasamy
This figure shows the co-authorship network connecting the top 25 collaborators of Pierette M. Appasamy. A scholar is included among the top collaborators of Pierette M. Appasamy 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 Pierette M. Appasamy. Pierette M. Appasamy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 20 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 31 | |
| 7 | 2 | |
| 8 | 25 | |
| 9 | 204 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | Characterization and comparison of the lytic function of NKR-P1+ and NKR-P1-rat natural killer cell clones established from NKR-P1bright/TCR alpha beta-cell lines. | 7 |
| 13 | 3 | |
| 14 | 11 | |
| 15 | 27 | |
| 16 | 56 | |
| 17 | 43 | |
| 18 | 28 | |
| 19 | 13 | |
| 20 | 161 |
About Pierette M. Appasamy
Pierette M. Appasamy is a scholar working on Immunology, Biological Psychiatry and Behavioral Neuroscience, having authored 20 papers that have together received 658 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Immunology (403 citations), Oncology (213 citations) and Behavioral Neuroscience (16 citations). Pierette M. Appasamy has collaborated with scholars based in United States, Serbia and Sweden. Frequent co-authors include Michael B. Prystowsky, Diane H. Russell, Charles V. Clevenger, Albert B. DeLeo, Ettore Appella, Douglas J. Loftus, Michael T. Lotze, Walter J. Storkus, Hiroshi Sakamoto and José Mayordomo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Experimental Medicine.
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.