Wendy W. Pang
- Immunology top 1%
- Immune Cell Function and Interaction 7
- Phagocytosis and Immune Regulation 7
- Mast cells and histamine 5
- Hematology top 0.5%
- Acute Myeloid Leukemia Research 19
- Hematopoietic Stem Cell Transplantation 16
- Geriatrics and Gerontology top 2%
- Oncology top 2%
- Genetics top 2%
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- Erythrocyte Function and Pathophysiology 6
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- Epigenetics and DNA Methylation 3
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- Acute Lymphoblastic Leukemia research 3
- Co-authors
- Irving L. WeissmanMark P. ChaoRavindra MajetiSiddhartha JaiswalNico van RooijenAsh A. AlizadehKenneth D. GibbsChristopher Y. Park
- Journals
- Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Wendy W. Pang
38 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Immunology 2.4k
- Hematology 1.1k
- Geriatrics and Gerontology 172
- Oncology 1.0k
- Genetics 380
Countries citing papers authored by Wendy W. Pang
This map shows the geographic impact of Wendy W. Pang'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 Wendy W. Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wendy W. Pang more than expected).
Fields of papers citing papers by Wendy W. Pang
This network shows the impact of papers produced by Wendy W. Pang. 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 Wendy W. Pang. The network helps show where Wendy W. Pang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wendy W. Pang, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 2 | |
| 10 | 2019 | 43 | |
| 11 | 2019 | 132 | |
| 12 | 2019 | 12 | |
| 13 | 2016 | 83 | |
| 14 | 2015 | 33 | |
| 15 | 2013 | 99 | |
| 16 | 2009 | 2 | |
| 17 | CD47 Is Upregulated on Circulating Hematopoietic Stem Cells and Leukemia Cells to Avoid Phagocytosisbreakdown → | 2009 | 1210 |
| 18 | CD47 Is an Adverse Prognostic Factor and Therapeutic Antibody Target on Human Acute Myeloid Leukemia Stem Cellsbreakdown → | 2009 | 1340 |
| 19 | 2009 | 2 | |
| 20 | 2005 | 203 |
About Wendy W. Pang
Wendy W. Pang is a scholar working on Hematology, Immunology and Aging, having authored 41 papers that have together received 4.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (19 papers), Hematopoietic Stem Cell Transplantation (16 papers), Immune Cell Function and Interaction (7 papers), Phagocytosis and Immune Regulation (7 papers), Erythrocyte Function and Pathophysiology (6 papers), Mast cells and histamine (5 papers), Epigenetics and DNA Methylation (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Immunology (2.4k citations), Hematology (1.1k citations) and Geriatrics and Gerontology (172 citations). Wendy W. Pang has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Irving L. Weissman, Mark P. Chao, Ravindra Majeti, Siddhartha Jaiswal, Nico van Rooijen, Ash A. Alizadeh, Kenneth D. Gibbs, Christopher Y. Park, Stanley L. Schrier and Catriona Jamieson. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.
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.