David H. McKenna
- Immunology top 0.2%
- Oncology top 0.5%
- Genetics top 0.2%
- Hematology top 0.2%
- Molecular Biology top 5%
- Co-authors
- Jeffrey S. MillerJohn E. WagnerBruce R. BlazarTodd E. DeForPhilip B. McGlaveDaniel J. WeisdorfJulie CurtsingerClaudio G. Brunstein
- Topics
- Hematopoietic Stem Cell Transplantation (66 papers)Mesenchymal stem cell research (57 papers)Immune Cell Function and Interaction (48 papers)
- Cited by
- GeneticsImmunologyHematology
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
David H. McKenna
163 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Immunology 4.5k
- Oncology 3.1k
- Genetics 2.5k
- Hematology 2.4k
- Molecular Biology 2.0k
Countries citing papers authored by David H. McKenna
This map shows the geographic impact of David H. McKenna'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 David H. McKenna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David H. McKenna more than expected).
Fields of papers citing papers by David H. McKenna
This network shows the impact of papers produced by David H. McKenna. 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 David H. McKenna. The network helps show where David H. McKenna may publish in the future.
Co-authorship network of co-authors of David H. McKenna
This figure shows the co-authorship network connecting the top 25 collaborators of David H. McKenna. A scholar is included among the top collaborators of David H. McKenna 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 David H. McKenna. David H. McKenna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 23 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 54 | |
| 11 | 3 | |
| 12 | 67 | |
| 13 | 44 | |
| 14 | 303 | |
| 15 | 5 | |
| 16 | 259 | |
| 17 | Umbilical cord blood: current status & promise for the future. | 22 |
| 18 | 35 | |
| 19 | 5 | |
| 20 | Infusion of ex vivo expanded T regulatory cells in adults transplanted with umbilical cord blood: safety profile and detection kineticsbreakdown → | 805 |
About David H. McKenna
David H. McKenna is a scholar working on Hematology, Genetics and Immunology, having authored 168 papers that have together received 9.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (66 papers), Mesenchymal stem cell research (57 papers) and Immune Cell Function and Interaction (48 papers). The work is most often cited by research in Genetics (2.5k citations), Immunology (4.5k citations) and Hematology (2.4k citations). David H. McKenna has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jeffrey S. Miller, John E. Wagner, Bruce R. Blazar, Todd E. DeFor, Philip B. McGlave, Daniel J. Weisdorf, Julie Curtsinger, Claudio G. Brunstein, Angela Panoskaltsis‐Mortari and Allison Hubel. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Circulation.
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.