Camille N. Abboud
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation 32
- Acute Myeloid Leukemia Research 16
- Multiple Myeloma Research and Treatments 10
- Genetics top 2%
- Mesenchymal stem cell research 7
- Biotechnology top 2%
- Immunology top 5%
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 6
- Oncology top 5%
- Polyomavirus and related diseases 7
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- Acute Lymphoblastic Leukemia research 9
- Co-authors
- Sara M. FreemanKatharine A. WhartenbyG N AbrahamF. L. MooltenJane L. LiesveldJohn F. DiPersioB L NuccieAaron P. Rapoport
- Cited by
- HematologyGeneticsBiotechnology
- Journals
- Blood (20 papers)Biology of Blood and Marrow Transplantation (13 papers)The Journal of Immunology (4 papers)
- Partner nations
- United StatesPolandCanada
In The Last Decade
Camille N. Abboud
70 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Hematology 685
- Genetics 926
- Biotechnology 287
- Immunology 687
- Oncology 815
Countries citing papers authored by Camille N. Abboud
This map shows the geographic impact of Camille N. Abboud'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 Camille N. Abboud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Camille N. Abboud more than expected).
Fields of papers citing papers by Camille N. Abboud
This network shows the impact of papers produced by Camille N. Abboud. 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 Camille N. Abboud. The network helps show where Camille N. Abboud may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Camille N. Abboud, 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 | 2022 | 29 | |
| 2 | 2021 | 1 | |
| 3 | 2017 | 37 | |
| 4 | 2017 | 30 | |
| 5 | 2017 | 15 | |
| 6 | 2016 | 8 | |
| 7 | 2015 | 1 | |
| 8 | 2015 | 123 | |
| 9 | 2014 | 5 | |
| 10 | 2005 | 29 | |
| 11 | 2003 | 42 | |
| 12 | 2002 | 19 | |
| 13 | 2002 | 25 | |
| 14 | 2001 | 16 | |
| 15 | 1998 | 25 | |
| 16 | 1997 | 90 | |
| 17 | Enhanced tumor recognition and killing using the HSV-TK suicide gene | 1996 | 4 |
| 18 | Activation of neutrophils by granulocyte-macrophage colony-stimulating factor. | 1992 | 3 |
| 19 | 1992 | 111 | |
| 20 | 1990 | 1 |
About Camille N. Abboud
Camille N. Abboud is a scholar working on Hematology, Genetics and Transplantation, having authored 71 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (32 papers), Acute Myeloid Leukemia Research (16 papers), Multiple Myeloma Research and Treatments (10 papers), Acute Lymphoblastic Leukemia research (9 papers), Polyomavirus and related diseases (7 papers), Mesenchymal stem cell research (7 papers), Immune Cell Function and Interaction (7 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Hematology (685 citations), Genetics (926 citations) and Biotechnology (287 citations). Camille N. Abboud has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include Sara M. Freeman, Katharine A. Whartenby, G N Abraham, F. L. Moolten, Jane L. Liesveld, John F. DiPersio, B L Nuccie, Aaron P. Rapoport, Aizen J. Marrogi and Ravi Vij. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, The Journal of Immunology, Journal of Clinical Oncology and Leukemia Research.
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.