Myron Chang
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
Papers in
-
- Statistical Methods in Clinical Trials 22
- Statistical Methods and Inference 13
- Statistical Distribution Estimation and Applications 11
- Statistical Methods and Bayesian Inference 10
- Hematology 32
- Acute Myeloid Leukemia Research 22
- Co-authors
- Howard J. WeinsteinCharles J. RosserYunfeng DaiSteve GoodisonYaddanapudi RavindranathVirginia UrquidiGary V. DahlGrace L. Yang
- Journals
- Blood (15 papers)Statistics in Medicine (7 papers)Journal of Clinical Oncology (6 papers)Pediatric Blood & Cancer (5 papers)PLoS ONE (4 papers)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Myron Chang
125 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 143
- Hematology 883
- Statistics and Probability 467
- Pathology and Forensic Medicine 546
- Oncology 722
- Genetics 272
Countries citing papers authored by Myron Chang
This map shows the geographic impact of Myron Chang'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 Myron Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myron Chang more than expected).
Fields of papers citing papers by Myron Chang
This network shows the impact of papers produced by Myron Chang. 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 Myron Chang. The network helps show where Myron Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Myron Chang, 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 | 2017 | 20 | |
| 2 | 2016 | 17 | |
| 3 | 2014 | 19 | |
| 4 | 2013 | 28 | |
| 5 | 2012 | 82 | |
| 6 | 2012 | 73 | |
| 7 | 2010 | 14 | |
| 8 | 2009 | 31 | |
| 9 | 2009 | 23 | |
| 10 | 2009 | 3 | |
| 11 | 2009 | 22 | |
| 12 | 2008 | 39 | |
| 13 | 2008 | 15 | |
| 14 | Outcomes of men who present with elevated serum PSA (greater than 20 ng/mL)to an inner-city hospital | 2007 | 1 |
| 15 | 2006 | 2 | |
| 16 | 2003 | 24 | |
| 17 | 2002 | 58 | |
| 18 | 1999 | 11 | |
| 19 | 1996 | 185 | |
| 20 | 1992 | 1 |
About Myron Chang
Myron Chang is a scholar working on Statistics and Probability, Hematology, Management Science and Operations Research, Statistics, Probability and Uncertainty and Issues, ethics and legal aspects, having authored 126 papers that have together received 3.4k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (22 papers), Acute Myeloid Leukemia Research (22 papers), Optimal Experimental Design Methods (16 papers), Acute Lymphoblastic Leukemia research (14 papers), Statistical Methods and Inference (13 papers), Statistical Distribution Estimation and Applications (11 papers), Lymphoma Diagnosis and Treatment (10 papers) and Statistical Methods and Bayesian Inference (10 papers). The work is most often cited by research in Hematology (883 citations), Statistics and Probability (467 citations), Pathology and Forensic Medicine (546 citations), Oncology (722 citations) and Genetics (272 citations). Myron Chang has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Howard J. Weinstein, Charles J. Rosser, Yunfeng Dai, Steve Goodison, Yaddanapudi Ravindranath, Virginia Urquidi, Gary V. Dahl, Grace L. Yang, Jeffrey W. Taub and Gita Massey. Their work appears in journals such as Blood, Statistics in Medicine, Journal of Clinical Oncology, Pediatric Blood & Cancer and PLoS ONE.
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.