M. S. Pepe
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
Papers in
-
- Statistical Methods and Inference 12
- Statistical Methods in Clinical Trials 9
- Statistical Methods and Bayesian Inference 7
- Advanced Statistical Methods and Models 3
- Hematology 14
- Hematopoietic Stem Cell Transplantation 14
- Co-authors
- Holly JanesYutaka YasuiMark ThornquistRuth EtzioniZhu FengMary Lou ThompsonJohn D. PotterMarcy Winget
- Journals
- Blood (11 papers)Biostatistics (6 papers)American Journal of Epidemiology (5 papers)Biometrika (4 papers)Biometrics (3 papers)
- Partner nations
- United StatesSouth AfricaItaly
In The Last Decade
M. S. Pepe
45 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Hematology 1.2k
- Statistics and Probability 803
- Transplantation 162
- Statistics, Probability and Uncertainty 230
- Immunology 591
Countries citing papers authored by M. S. Pepe
This map shows the geographic impact of M. S. Pepe'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 M. S. Pepe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. S. Pepe more than expected).
Fields of papers citing papers by M. S. Pepe
This network shows the impact of papers produced by M. S. Pepe. 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 M. S. Pepe. The network helps show where M. S. Pepe may publish in the future.
Co-authors
The 25 scholars most cited alongside M. S. Pepe, 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 | 2018 | 7 | |
| 2 | 2011 | 75 | |
| 3 | 2010 | 17 | |
| 4 | 2009 | 13 | |
| 5 | 2009 | 37 | |
| 6 | 2009 | 88 | |
| 7 | 2008 | 17 | |
| 8 | 2008 | 38 | |
| 9 | 2007 | 212 | |
| 10 | Limitations of the Odds Ratio in Gauging the Performance of a Diagnostic, Prognostic, or Screening Marker Hit paper breakdown → | 2004 | 931 |
| 11 | 2002 | 49 | |
| 12 | 2001 | 66 | |
| 13 | Phases of Biomarker Development for Early Detection of Cancer Hit paper breakdown → | 2001 | 1191 |
| 14 | 1997 | 287 | |
| 15 | 1996 | 7 | |
| 16 | 1995 | 38 | |
| 17 | 1994 | 89 | |
| 18 | 1992 | 8 | |
| 19 | 1992 | 52 | |
| 20 | 1992 | 31 |
About M. S. Pepe
M. S. Pepe is a scholar working on Statistics and Probability, Hematology, Statistics, Probability and Uncertainty, Transplantation and Oncology, having authored 45 papers that have together received 5.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (14 papers), Statistical Methods and Inference (12 papers), Statistical Methods in Clinical Trials (9 papers), Statistical Methods and Bayesian Inference (7 papers), Mesenchymal stem cell research (3 papers), Advanced Statistical Methods and Models (3 papers), Polyomavirus and related diseases (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Hematology (1.2k citations), Statistics and Probability (803 citations), Transplantation (162 citations), Statistics, Probability and Uncertainty (230 citations) and Immunology (591 citations). M. S. Pepe has collaborated with scholars based in United States, South Africa and Italy. Frequent co-authors include Holly Janes, Yutaka Yasui, Mark Thornquist, Ruth Etzioni, Zhu Feng, Mary Lou Thompson, John D. Potter, Marcy Winget, Rainer Storb and Gary Longton. Their work appears in journals such as Blood, Biostatistics, American Journal of Epidemiology, Biometrika and Biometrics.
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.