David Suh
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 16
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 8
- Hematology 11
- Hematopoietic Stem Cell Transplantation 11
- Co-authors
- Marcel R.M. van den Brink (19 shared papers)Odette M. Smith (13 shared papers)Gabrielle L. Goldberg (8 shared papers)Thomas K. Hunt (4 shared papers)Christopher King (11 shared papers)Sydney X. Lu (14 shared papers)Glenn Heller (7 shared papers)Chen Liu (8 shared papers)
- Journals
- Blood (11 papers)Biology of Blood and Marrow Transplantation (3 papers)The Journal of Immunology (2 papers)Wound Repair and Regeneration (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
David Suh
31 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 113
- Hematology 396
- Immunology 555
- Oncology 213
- Rehabilitation 51
- Insect Science 104
Countries citing papers authored by David Suh
This map shows the geographic impact of David Suh'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 Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Suh more than expected).
Fields of papers citing papers by David Suh
This network shows the impact of papers produced by David Suh. 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 Suh. The network helps show where David Suh may publish in the future.
Co-authors
The 25 scholars most cited alongside David Suh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 221 | |
| 2 | 2005 | 187 | |
| 3 | 2000 | 142 | |
| 4 | 2012 | 108 | |
| 5 | 2008 | 98 | |
| 6 | 2009 | 68 | |
| 7 | 2008 | 53 | |
| 8 | 2010 | 51 | |
| 9 | 1998 | 33 | |
| 10 | 2003 | 29 | |
| 11 | 2008 | 26 | |
| 12 | 2007 | 25 | |
| 13 | 2018 | 24 | |
| 14 | 2013 | 22 | |
| 15 | 2008 | 21 | |
| 16 | 2022 | 20 | |
| 17 | 2009 | 19 | |
| 18 | 2021 | 15 | |
| 19 | 2007 | 14 | |
| 20 | 2008 | 13 |
About David Suh
David Suh is a scholar working on Immunology, Hematology, Molecular Biology, Oncology and Cancer Research, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (8 papers), Angiogenesis and VEGF in Cancer (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), CAR-T cell therapy research (3 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Hematology (396 citations), Immunology (555 citations), Oncology (213 citations), Rehabilitation (51 citations) and Insect Science (104 citations). David Suh has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Marcel R.M. van den Brink, Odette M. Smith, Gabrielle L. Goldberg, Thomas K. Hunt, Christopher King, Sydney X. Lu, Glenn Heller, Chen Liu, Amanda M. Holland and Jeremy Grubin. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, The Journal of Immunology, Wound Repair and Regeneration and PLoS ONE.
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.