Daniel W. Chan

20.8k total citations · 3 hit papers
116 papers, 6.4k citations indexed

About

Daniel W. Chan is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Spectroscopy. According to data from OpenAlex, Daniel W. Chan has authored 116 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Pulmonary and Respiratory Medicine, 43 papers in Molecular Biology and 22 papers in Spectroscopy. Recurrent topics in Daniel W. Chan's work include Prostate Cancer Treatment and Research (38 papers), Prostate Cancer Diagnosis and Treatment (36 papers) and Advanced Proteomics Techniques and Applications (21 papers). Daniel W. Chan is often cited by papers focused on Prostate Cancer Treatment and Research (38 papers), Prostate Cancer Diagnosis and Treatment (36 papers) and Advanced Proteomics Techniques and Applications (21 papers). Daniel W. Chan collaborates with scholars based in United States, Germany and Canada. Daniel W. Chan's co-authors include Alan W. Partin, Lori J. Sokoll, Jason M. Rosenzweig, Patrick C. Walsh, Jinong Li, Jonathan I. Epstein, Zhen Zhang, Joseph E. Oesterling, Robert C. Rock and Debra J. Bruzek and has published in prestigious journals such as Journal of Clinical Oncology, Nature Biotechnology and Analytical Chemistry.

In The Last Decade

Daniel W. Chan

114 papers receiving 6.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Proteomics and Bioinformatics Approaches for Identification of Serum Biomarkers to Detect Breast Cancer

2002 733 citations Zhen Zhang, Daniel W. Chan et al. profile →
Prostate Specific Antigen in the Staging of Localized Prostate Cancer: Influence of Tumor Differentiation, Tumor Volume and Benign Hyperplasia

1990 506 citations Alan W. Partin, H. Ballentine Carter et al. profile →
Prostate Specific Antigen in the Preoperative and Postoperative Evaluation of Localized Prostatic Cancer Treated with Radical Prostatectomy

1988 477 citations Daniel W. Chan, Debra J. Bruzek et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel W. Chan United States	38	2.7k	2.5k	1.5k	865	788	116	6.4k
Steven J. Skates United States	51	2.2k 0.8×	1.3k 0.5×	723 0.5×	1.4k 1.7×	1.2k 1.6×	127	8.8k
Michael Lein Germany	44	2.3k 0.9×	2.4k 1.0×	263 0.2×	1.8k 2.1×	1.2k 1.5×	171	5.9k
Gregor Weirich Germany	40	3.1k 1.1×	4.3k 1.7×	271 0.2×	1.3k 1.5×	1.2k 1.5×	121	7.5k
Kevin M. Slawin United States	55	2.0k 0.7×	6.9k 2.7×	255 0.2×	1.3k 1.5×	1.9k 2.4×	183	10.0k
E. David Crawford United States	38	1.2k 0.4×	4.9k 1.9×	163 0.1×	956 1.1×	1.3k 1.6×	161	6.8k
Jeffry Simko United States	31	1.2k 0.4×	2.5k 1.0×	193 0.1×	1.1k 1.2×	533 0.7×	107	4.2k
Sudhir Srivastava United States	41	3.4k 1.3×	1.5k 0.6×	366 0.2×	2.7k 3.1×	3.6k 4.5×	142	8.9k
Herbert A. Fritsche United States	48	3.4k 1.3×	2.8k 1.1×	533 0.3×	3.9k 4.6×	5.8k 7.3×	163	11.2k
Thorsten Schlomm Germany	53	3.7k 1.4×	5.9k 2.4×	159 0.1×	2.6k 3.0×	1.7k 2.1×	290	10.0k
G.P. Murphy United States	43	1.6k 0.6×	3.0k 1.2×	152 0.1×	680 0.8×	1.8k 2.3×	236	6.5k

Countries citing papers authored by Daniel W. Chan

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Daniel W. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel W. Chan. A scholar is included among the top collaborators of Daniel W. Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel W. Chan. Daniel W. Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shore, Neal D., Christopher Pieczonka, Ralph J. Henderson, et al.. (2023). Development and evaluation of the MiCheck® Prostate test for clinically significant prostate cancer. Urologic Oncology Seminars and Original Investigations. 41(11). 454.e9–454.e16. 2 indexed citations

Song, Jin, Shiyong Ma, Lori J. Sokoll, et al.. (2021). A panel of selected serum protein biomarkers for the detection of aggressive prostate cancer. Theranostics. 11(13). 6214–6224. 17 indexed citations

Hristova, Ventzislava A., Shisheng Sun, Hui Zhang, & Daniel W. Chan. (2020). Proteomic analysis of degradation ubiquitin signaling by ubiquitin occupancy changes responding to 26S proteasome inhibition. Clinical Proteomics. 17(1). 2–2. 10 indexed citations

Song, Jin, Shannath L. Merbs, Lori J. Sokoll, Daniel W. Chan, & Zhen Zhang. (2019). A multiplex immunoassay of serum biomarkers for the detection of uveal melanoma. Clinical Proteomics. 16(1). 10–10. 31 indexed citations

Song, Guang, Li Chen, Bai Zhang, et al.. (2018). Proteome-wide Tyrosine Phosphorylation Analysis Reveals Dysregulated Signaling Pathways in Ovarian Tumors. Molecular & Cellular Proteomics. 18(3). 448–460. 20 indexed citations

Crutchfield, Christopher A., Stefani N. Thomas, Lori J. Sokoll, & Daniel W. Chan. (2016). Advances in mass spectrometry-based clinical biomarker discovery. Clinical Proteomics. 13(1). 1–1. 200 indexed citations

Shah, Punit, Bai Zhang, Caitlin H. Choi, et al.. (2014). Tissue proteomics using chemical immobilization and mass spectrometry. Analytical Biochemistry. 469. 27–33. 20 indexed citations

Füzéry, Anna K., Joshua D. Levin, Maria Chan, & Daniel W. Chan. (2013). Translation of proteomic biomarkers into FDA approved cancer diagnostics: issues and challenges. Clinical Proteomics. 10(1). 13–13. 301 indexed citations

Martı́nez, Emilio A., Caitlin Nass, Stanley H. Rosenbaum, et al.. (2005). Intermittent Cardiac Troponin-I Screening is an Effective Means of Surveillance for a Perioperative Myocardial Infarction. Journal of Cardiothoracic and Vascular Anesthesia. 19(5). 577–582. 31 indexed citations

10.

Clarke, William, Benjamin C. Silverman, Zhen Zhang, et al.. (2003). Characterization of Renal Allograft Rejection by Urinary Proteomic Analysis. Annals of Surgery. 237(5). 660–665. 172 indexed citations

11.

Naya, Yoshio, Herbert A. Fritsche, Carol D Cheli, et al.. (2003). Volume indexes of total, free, and complexed prostate-specific antigen enhance prediction of extraprostatic disease extension in men with nonpalpable prostate cancer. Urology. 62(6). 1058–1062. 8 indexed citations

12.

Wians, Frank H., Carol D Cheli, Jody Balko, et al.. (2002). Evaluation of the clinical performance of equimolar- and skewed-response total prostate-specific antigen assays versus complexed and free PSA assays and their ratios in discriminating between benign prostatic hyperplasia and prostate cancer. Clinica Chimica Acta. 326(1-2). 81–95. 6 indexed citations

13.

Kuhajda, Francis P., et al.. (2001). Two-site ELISA for the quantitative determination of fatty acid synthase. Clinica Chimica Acta. 304(1-2). 107–115. 32 indexed citations

14.

Green, Gary B., et al.. (2000). Myoglobin for Early Risk Stratification of Emergency Department Patients with Possible Myocardial Ischemia. Academic Emergency Medicine. 7(6). 625–636. 6 indexed citations

15.

Green, Gary B., et al.. (1998). The Prognostic Significance of Troponin I and Troponin T. Academic Emergency Medicine. 5(8). 758–767. 22 indexed citations

16.

Pannek, Jürgen, Harry G. Rittenhouse, Cindy L. Evans, et al.. (1997). Molecular forms of prostate-specific antigen and human kallikrein 2 (hK2) in urine are not clinically useful for early detection and staging of prostate cancer. Urology. 50(5). 715–721. 33 indexed citations

17.

Sokoll, Lori J., Martin H. Kroll, Michael A. Levine, Fred Poordad, & Daniel W. Chan. (1997). Bone to Total Alkaline Phosphatase Ratios Improve Sensitivity and Specificity of Bone Alkaline Phosphatase Immunoassays. Clinical Biochemistry. 30(8). 625–629. 2 indexed citations

18.

Silver, Richard I., Alan W. Partin, Jonathan I. Epstein, et al.. (1997). Prostate-specific antigen in men born with bladder exstrophy. Urology. 49(2). 253–256. 5 indexed citations

19.

Sokoll, Lori J. & Daniel W. Chan. (1997). PROSTATE-SPECIFIC ANTIGEN. Urologic Clinics of North America. 24(2). 253–259. 45 indexed citations

20.

Chan, Daniel W., Roy Beveridge, Arvind K. Bhargava, et al.. (1994). Breast Cancer Marker CA549:A Multicenter Study. American Journal of Clinical Pathology. 101(4). 465–470. 10 indexed citations

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.

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