David N. Wald
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
-
- Retinoids in leukemia and cellular processes 10
- Epigenetics and DNA Methylation 6
- Cell death mechanisms and regulation 6
- Immunology 29
- Immune Cell Function and Interaction 20
- Co-authors
- Xiaoxia Li (5 shared papers)George R. Stark (3 shared papers)Jinzhong Qin (2 shared papers)Kalpana Gupta (16 shared papers)Stephen Moreton (13 shared papers)Marcos de Lima (18 shared papers)Jennifer E. Towne (1 shared paper)Youcun Qian (1 shared paper)
- Journals
- Blood (16 papers)Cancer Research (7 papers)Frontiers in Immunology (3 papers)Molecular Cancer Therapeutics (3 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
David N. Wald
77 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 115
- Immunology 1.1k
- Hematology 300
- Cancer Research 325
- Oncology 537
- Molecular Biology 871
Countries citing papers authored by David N. Wald
This map shows the geographic impact of David N. Wald'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 N. Wald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David N. Wald more than expected).
Fields of papers citing papers by David N. Wald
This network shows the impact of papers produced by David N. Wald. 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 N. Wald. The network helps show where David N. Wald may publish in the future.
Co-authors
The 25 scholars most cited alongside David N. Wald, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 481 | |
| 2 | 2007 | 262 | |
| 3 | 2000 | 135 | |
| 4 | 2018 | 114 | |
| 5 | 2009 | 109 | |
| 6 | 2013 | 106 | |
| 7 | 2016 | 97 | |
| 8 | 2019 | 91 | |
| 9 | 2012 | 63 | |
| 10 | 2014 | 60 | |
| 11 | 2022 | 56 | |
| 12 | 2011 | 54 | |
| 13 | 2010 | 46 | |
| 14 | 2012 | 44 | |
| 15 | 2016 | 39 | |
| 16 | 2010 | 39 | |
| 17 | 2010 | 37 | |
| 18 | 2016 | 36 | |
| 19 | 2016 | 35 | |
| 20 | 2019 | 35 |
About David N. Wald
David N. Wald is a scholar working on Molecular Biology, Immunology, Hematology, Oncology and Cancer Research, having authored 87 papers that have together received 2.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Immune Cell Function and Interaction (20 papers), CAR-T cell therapy research (16 papers), Retinoids in leukemia and cellular processes (10 papers), Cancer-related Molecular Pathways (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), Epigenetics and DNA Methylation (6 papers) and Cell death mechanisms and regulation (6 papers). The work is most often cited by research in Immunology (1.1k citations), Hematology (300 citations), Cancer Research (325 citations), Oncology (537 citations) and Molecular Biology (871 citations). David N. Wald has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xiaoxia Li, George R. Stark, Jinzhong Qin, Kalpana Gupta, Stephen Moreton, Marcos de Lima, Jennifer E. Towne, Youcun Qian, John E. Sims and Zhendong Zhao. Their work appears in journals such as Blood, Cancer Research, Frontiers in Immunology, Molecular Cancer Therapeutics and Journal of Clinical Oncology.
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.