Daniel Wang
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
- Genetics 4
- Vascular Anomalies and Treatments 2
- Hemoglobinopathies and Related Disorders 1
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- Stress Responses and Cortisol 4
- Co-authors
- Arie Kaffman (3 shared papers)Victor J. Avila‐Quintero (2 shared papers)Michael H. Bloch (2 shared papers)Jessica L.S. Levine (1 shared paper)Ludmila Matyakhina (1 shared paper)Victor Tseng (1 shared paper)Clara M. Cheng (1 shared paper)Carolyn A. Bondy (1 shared paper)
- Journals
- Blood (4 papers)American Journal of Hematology (2 papers)Translational Psychiatry (2 papers)Blood Advances (2 papers)Cancers (1 paper)
- Partner nations
- United StatesCanadaPakistan
In The Last Decade
Daniel Wang
16 papers receiving 325 citations
Peers
Comparison fields: 5 of 85
- Behavioral Neuroscience 107
- Biological Psychiatry 46
- Neurology 42
- Developmental Neuroscience 21
- Social Psychology 73
Countries citing papers authored by Daniel Wang
This map shows the geographic impact of Daniel Wang'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 Daniel Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wang more than expected).
Fields of papers citing papers by Daniel Wang
This network shows the impact of papers produced by Daniel Wang. 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 Daniel Wang. The network helps show where Daniel Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Wang, 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 | 2020 | 98 | |
| 2 | 2005 | 76 | |
| 3 | 2021 | 41 | |
| 4 | 2022 | 40 | |
| 5 | 2007 | 27 | |
| 6 | 2024 | 24 | |
| 7 | 2024 | 4 | |
| 8 | Implementation and Performance Evaluation of a Safe Runtime System in Cyclone | 2004 | 4 |
| 9 | 2024 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2026 | 0 | |
| 18 | 2024 | 0 |
About Daniel Wang
Daniel Wang is a scholar working on Genetics, Behavioral Neuroscience, Pulmonary and Respiratory Medicine, Hematology and Social Psychology, having authored 18 papers that have together received 329 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (4 papers), Iron Metabolism and Disorders (2 papers), Neuroendocrine regulation and behavior (2 papers), Vascular Anomalies and Treatments (2 papers), Hemoglobinopathies and Related Disorders (1 paper), Software Reliability and Analysis Research (1 paper), Complement system in diseases (1 paper) and Infant Health and Development (1 paper). The work is most often cited by research in Behavioral Neuroscience (107 citations), Biological Psychiatry (46 citations), Neurology (42 citations), Developmental Neuroscience (21 citations) and Social Psychology (73 citations). Daniel Wang has collaborated with scholars based in United States, Canada and Pakistan. Frequent co-authors include Arie Kaffman, Victor J. Avila‐Quintero, Michael H. Bloch, Jessica L.S. Levine, Ludmila Matyakhina, Victor Tseng, Clara M. Cheng, Carolyn A. Bondy, Jie Wang and Marwan Abi-Antoun. Their work appears in journals such as Blood, American Journal of Hematology, Translational Psychiatry, Blood Advances and Cancers.
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.