Daniel W. Chan
- Spectroscopy top 0.2%
- Advanced Proteomics Techniques and Applications 39
- Mass Spectrometry Techniques and Applications 16
- Cancer Research top 1%
- Pulmonary and Respiratory Medicine top 0.5%
- Prostate Cancer Diagnosis and Treatment 41
- Prostate Cancer Treatment and Research 40
- Molecular Biology top 1%
- Glycosylation and Glycoproteins Research 18
- Molecular Biology Techniques and Applications 11
- Advanced Biosensing Techniques and Applications 11
- Reproductive Medicine top 1%
-
- Urologic and reproductive health conditions 11
- Co-authors
- Lori J. SokollPeter B. LuppaDanni LiAlan W. PartinMartin G. SandaLeong L. NgEric T. FungHui Zhang
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Daniel W. Chan
156 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Spectroscopy 2.0k
- Cancer Research 1.4k
- Pulmonary and Respiratory Medicine 2.6k
- Molecular Biology 4.1k
- Reproductive Medicine 502
Countries citing papers authored by Daniel W. Chan
This map shows the geographic impact of Daniel W. Chan'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 W. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Chan more than expected).
Fields of papers citing papers by Daniel W. Chan
This network shows the impact of papers produced by Daniel W. Chan. 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 W. Chan. The network helps show where Daniel W. Chan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel W. Chan, 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 | 4 | |
| 2 | 2016 | 94 | |
| 3 | 2012 | 25 | |
| 4 | 2012 | 20 | |
| 5 | 2009 | 2 | |
| 6 | 2009 | 12 | |
| 7 | 2007 | 80 | |
| 8 | 2007 | 62 | |
| 9 | 2005 | 72 | |
| 10 | Protein identification and immunoassay evaluation of a panel of biomarkers discovered through proteomic profiling for the detection of ovarian cancer | 2004 | 0 |
| 11 | 2004 | 13 | |
| 12 | 2002 | 12 | |
| 13 | Total, free, and complexed PSA: Analysis and clinical utility | 1998 | 11 |
| 14 | 1998 | 8 | |
| 15 | 1998 | 37 | |
| 16 | 1996 | 52 | |
| 17 | 1995 | 107 | |
| 18 | 1994 | 78 | |
| 19 | Immunoassay : a practical guide | 1987 | 137 |
| 20 | 1983 | 100 |
About Daniel W. Chan
Daniel W. Chan is a scholar working on Spectroscopy, Pulmonary and Respiratory Medicine, Reproductive Medicine, Rheumatology and Obstetrics and Gynecology, having authored 161 papers that have together received 9.4k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (41 papers), Prostate Cancer Treatment and Research (40 papers), Advanced Proteomics Techniques and Applications (39 papers), Glycosylation and Glycoproteins Research (18 papers), Mass Spectrometry Techniques and Applications (16 papers), Molecular Biology Techniques and Applications (11 papers), Urologic and reproductive health conditions (11 papers) and Advanced Biosensing Techniques and Applications (11 papers). The work is most often cited by research in Spectroscopy (2.0k citations), Cancer Research (1.4k citations), Pulmonary and Respiratory Medicine (2.6k citations), Molecular Biology (4.1k citations) and Reproductive Medicine (502 citations). Daniel W. Chan has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Lori J. Sokoll, Peter B. Luppa, Danni Li, Alan W. Partin, Martin G. Sanda, Leong L. Ng, Eric T. Fung, Hui Zhang, Zhen Zhang and Harry G. Rittenhouse. Their work appears in journals such as The Journal of Urology, Clinical Chemistry, Urology, Clinical Proteomics and Clinica Chimica Acta.
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.