Jon McMahel
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Mesenchymal stem cell research
- Virus-based gene therapy research
Papers in
-
- Hematopoietic Stem Cell Transplantation 7
- Chronic Myeloid Leukemia Treatments 2
-
- Immunotherapy and Immune Responses 4
- Galectins and Cancer Biology 1
- Co-authors
- Susan Rice (9 shared papers)Edward F. Srour (8 shared papers)André Gothot (5 shared papers)Robert E. Pyatt (5 shared papers)Christie M. Traycoff (5 shared papers)Attilio Orazi (1 shared paper)Amy C. Ladd (2 shared papers)Kenneth Cornetta (4 shared papers)
- Journals
- Blood (6 papers)British Journal of Haematology (1 paper)Bone Marrow Transplantation (1 paper)Journal of Biological Chemistry (1 paper)PubMed (2 papers)
- Partner nations
- United States
In The Last Decade
Jon McMahel
10 papers receiving 479 citations
Peers
Comparison fields: 5 of 50
- Hematology 267
- Genetics 88
- Immunology 160
- Oncology 112
- Cancer Research 38
Countries citing papers authored by Jon McMahel
This map shows the geographic impact of Jon McMahel'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 Jon McMahel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon McMahel more than expected).
Fields of papers citing papers by Jon McMahel
This network shows the impact of papers produced by Jon McMahel. 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 Jon McMahel. The network helps show where Jon McMahel may publish in the future.
Co-authors
The 18 scholars most cited alongside Jon McMahel, 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 | 1997 | 174 | |
| 2 | 1997 | 82 | |
| 3 | Proliferation-induced decline of primitive hematopoietic progenitor cell activity is coupled with an increase in apoptosis of ex vivo expanded CD34+ cells. | 1998 | 76 |
| 4 | Assessment of proliferative and colony-forming capacity after successive in vitro divisions of single human CD34+ cells initially isolated in G0. | 1998 | 46 |
| 5 | 1998 | 35 | |
| 6 | 1997 | 30 | |
| 7 | 1997 | 22 | |
| 8 | 1998 | 18 | |
| 9 | 1997 | 10 | |
| 10 | 1997 | 10 | |
| 11 | 1996 | 0 | |
| 12 | 1998 | 0 |
About Jon McMahel
Jon McMahel is a scholar working on Hematology, Immunology, Genetics, Oncology and Infectious Diseases, having authored 12 papers that have together received 503 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Virus-based gene therapy research (6 papers), Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Neonatal Respiratory Health Research (2 papers) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Hematology (267 citations), Genetics (88 citations), Immunology (160 citations), Oncology (112 citations) and Cancer Research (38 citations). Jon McMahel has collaborated with scholars based in United States. Frequent co-authors include Susan Rice, Edward F. Srour, André Gothot, Robert E. Pyatt, Christie M. Traycoff, Attilio Orazi, Amy C. Ladd, Kenneth Cornetta, S Grigsby and Hui Sun. Their work appears in journals such as Blood, British Journal of Haematology, Bone Marrow Transplantation, Journal of Biological Chemistry and PubMed.
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.