Kathleen C. Barracchini
- Immunology top 5%
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 6
- Oncology top 10%
- Viral-associated cancers and disorders 1
-
- vaccines and immunoinformatics approaches 2
-
- Platelet Disorders and Treatments 1
-
- Herpesvirus Infections and Treatments 1
-
- Tryptophan and brain disorders 1
- Co-authors
- Licia RivoltiniNicholas P. RestifoFrancesco M. MarincolaMichael L. SalgallerSteven A. RosenbergJanice N. CormierToni B. SimonisArnold Mixon
- Cited by
- ImmunologyOncologyTransplantation
- Partner nations
- United StatesItaly
In The Last Decade
Kathleen C. Barracchini
11 papers receiving 609 citations
Peers
Comparison fields: 5 of 50
- Immunology 544
- Oncology 233
- Transplantation 18
- Molecular Biology 206
- Hematology 29
Countries citing papers authored by Kathleen C. Barracchini
This map shows the geographic impact of Kathleen C. Barracchini'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 Kathleen C. Barracchini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathleen C. Barracchini more than expected).
Fields of papers citing papers by Kathleen C. Barracchini
This network shows the impact of papers produced by Kathleen C. Barracchini. 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 Kathleen C. Barracchini. The network helps show where Kathleen C. Barracchini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kathleen C. Barracchini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 5 | |
| 2 | Tumor-infiltrating lymphocytes from human ovarian cancer patients recognize autologous tumor in an MHC class II-restricted fashion. | 2006 | 35 |
| 3 | 2004 | 59 | |
| 4 | High throughput HLA sequence-based typing (SBT) utilizing the ABI Prism 3700 DNA Analyzer. | 2001 | 18 |
| 5 | 2001 | 19 | |
| 6 | 1999 | 2 | |
| 7 | 1998 | 13 | |
| 8 | Enhancement of cellular immunity in melanoma patients immunized with a peptide from MART-1/Melan A. | 1997 | 225 |
| 9 | 1996 | 39 | |
| 10 | 1996 | 66 | |
| 11 | Quantitative correlation between HLA class I allele expression and recognition of melanoma cells by antigen-specific cytotoxic T lymphocytes. | 1995 | 137 |
About Kathleen C. Barracchini
Kathleen C. Barracchini is a scholar working on Immunology, Biological Psychiatry and Dermatology, having authored 11 papers that have together received 618 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (6 papers), vaccines and immunoinformatics approaches (2 papers), Herpesvirus Infections and Treatments (1 paper), Viral-associated cancers and disorders (1 paper), Platelet Disorders and Treatments (1 paper) and Tryptophan and brain disorders (1 paper). The work is most often cited by research in Immunology (544 citations), Oncology (233 citations) and Transplantation (18 citations). Kathleen C. Barracchini has collaborated with scholars based in United States and Italy. Frequent co-authors include Licia Rivoltini, Nicholas P. Restifo, Francesco M. Marincola, Michael L. Salgaller, Steven A. Rosenberg, Janice N. Cormier, Toni B. Simonis, Arnold Mixon, Sharon Adams and David F. Stroncek. Their work appears in journals such as The Journal of Immunology, Psychiatry Research and Transfusion.
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.