Margaret A. Shipp
- Oncology top 0.05%
- Pathology and Forensic Medicine top 0.01%
- Immunology top 0.1%
- Molecular Biology top 0.5%
- Genetics top 0.05%
- Co-authors
- Scott J. RodigBjoern ChapuyDonna NeubergPhilippe ArmandJeffery L. KutokPrzemysław JuszczyńskiStefano MontiGordon J. Freeman
- Topics
- Lymphoma Diagnosis and Treatment (136 papers)CAR-T cell therapy research (51 papers)Cancer Immunotherapy and Biomarkers (43 papers)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Margaret A. Shipp
204 papers receiving 24.2k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Oncology 13.8k
- Pathology and Forensic Medicine 12.8k
- Immunology 7.7k
- Molecular Biology 6.2k
- Genetics 4.5k
Countries citing papers authored by Margaret A. Shipp
This map shows the geographic impact of Margaret A. Shipp'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 Margaret A. Shipp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret A. Shipp more than expected).
Fields of papers citing papers by Margaret A. Shipp
This network shows the impact of papers produced by Margaret A. Shipp. 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 Margaret A. Shipp. The network helps show where Margaret A. Shipp may publish in the future.
Co-authorship network of co-authors of Margaret A. Shipp
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret A. Shipp. A scholar is included among the top collaborators of Margaret A. Shipp 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 Margaret A. Shipp. Margaret A. Shipp 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 | 19 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 39 | |
| 7 | 88 | |
| 8 | Nivolumab for Relapsed/Refractory Classic Hodgkin Lymphoma After Failure of Autologous Hematopoietic Cell Transplantation: Extended Follow-Up of the Multicohort Single-Arm Phase II CheckMate 205 Trialbreakdown → | 455 |
| 9 | 111 | |
| 10 | 58 | |
| 11 | Phase II Study of the Efficacy and Safety of Pembrolizumab for Relapsed/Refractory Classic Hodgkin Lymphomabreakdown → | 694 |
| 12 | 139 | |
| 13 | 99 | |
| 14 | PD-L1 Expression Is Characteristic of a Subset of Aggressive B-cell Lymphomas and Virus-Associated Malignanciesbreakdown → | 657 |
| 15 | Constitutive AP-1 Activity and EBV Infection Induce PD-L1 in Hodgkin Lymphomas and Posttransplant Lymphoproliferative Disorders: Implications for Targeted Therapybreakdown → | 551 |
| 16 | 138 | |
| 17 | 42 | |
| 18 | 28 | |
| 19 | 105 | |
| 20 | 276 |
About Margaret A. Shipp
Margaret A. Shipp is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology, having authored 210 papers that have together received 24.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (136 papers), CAR-T cell therapy research (51 papers) and Cancer Immunotherapy and Biomarkers (43 papers). The work is most often cited by research in Pathology and Forensic Medicine (12.8k citations), Oncology (13.8k citations) and Genetics (4.5k citations). Margaret A. Shipp has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Scott J. Rodig, Bjoern Chapuy, Donna Neuberg, Philippe Armand, Jeffery L. Kutok, Przemysław Juszczyński, Stefano Monti, Gordon J. Freeman, Jing Ouyang and Kunihiko Takeyama. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.
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.