EM Mickelson
- Hematology top 2%
- Immunology top 5%
- Oncology
- Epidemiology
- Genetics
- Topics
- Hematopoietic Stem Cell Transplantation (16 papers)T-cell and B-cell Immunology (6 papers)Mesenchymal stem cell research (4 papers)
- Cited by
- HematologyImmunologyTransplantation
- Journals
- BloodTransplantation ProceedingsPubMed
- Partner nations
- United StatesSouth Africa
In The Last Decade
EM Mickelson
18 papers receiving 678 citations
Peers
Comparison fields: 5 of 55
- Hematology 601
- Immunology 451
- Oncology 109
- Epidemiology 88
- Genetics 66
Countries citing papers authored by EM Mickelson
This map shows the geographic impact of EM Mickelson'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 EM Mickelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites EM Mickelson more than expected).
Fields of papers citing papers by EM Mickelson
This network shows the impact of papers produced by EM Mickelson. 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 EM Mickelson. The network helps show where EM Mickelson may publish in the future.
Co-authorship network of co-authors of EM Mickelson
This figure shows the co-authorship network connecting the top 25 collaborators of EM Mickelson. A scholar is included among the top collaborators of EM Mickelson 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 EM Mickelson. EM Mickelson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 227 | |
| 2 | 103 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | Report of the North American Indian anthropology section | 9 |
| 6 | The HLA system in clinical bone marrow transplantation. | 6 |
| 7 | 17 | |
| 8 | 1 | |
| 9 | 55 | |
| 10 | 1 | |
| 11 | Histocompatibility and marrow transplantation. | 15 |
| 12 | Immune response to transplantation antigens in human marrow graft recipients. | 4 |
| 13 | 11 | |
| 14 | 209 | |
| 15 | 13 | |
| 16 | Direct and antibody-dependent cell-mediated cytotoxicity against HLA identical sibling lymphocytes. Correlation with marrow graft rejections. | 31 |
| 17 | An estimate of the recombination frequency between the B locus and the D locus within the major histocompatibility complex. | 5 |
| 18 | Marrow grafting and immunotherapy in identical twins with hematologic malignancies. | 1 |
| 19 | Marrow grafting in identical twins with hematologic malignancies. | 6 |
About EM Mickelson
EM Mickelson is a scholar working on Hematology, Transplantation and Immunology, having authored 19 papers that have together received 730 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (16 papers), T-cell and B-cell Immunology (6 papers) and Mesenchymal stem cell research (4 papers). The work is most often cited by research in Hematology (601 citations), Immunology (451 citations) and Transplantation (52 citations). EM Mickelson has collaborated with scholars based in United States and South Africa. Frequent co-authors include JA Hansen, EW Petersdorf, PJ Martin, A. G. Smith, C Anasetti, Thomas Ed, PL Weiden, R P Warren, HD Ochs and RP Witherspoon. Their work appears in journals such as Blood, Transplantation Proceedings 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.