John P. Klein
- Hematology top 0.02%
- Hematopoietic Stem Cell Transplantation 78
- Chronic Myeloid Leukemia Treatments 22
- Acute Myeloid Leukemia Research 21
- Statistics and Probability top 0.05%
- Statistical Methods and Inference 44
- Statistical Methods and Bayesian Inference 29
- Transplantation top 0.2%
- Immunology top 0.5%
- T-cell and B-cell Immunology 30
- Immune Cell Function and Interaction 27
- Genetics top 0.2%
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- Acute Lymphoblastic Leukemia research 23
- Co-authors
- Melvin L. MoeschbergerMarepalli B. RaoMary M. HorowitzPer Kragh AndersenMary EapenFausto R. LoberizaKathleen A. SobocinskiMichael Haagenson
- Journals
- Blood (41 papers)Biology of Blood and Marrow Transplantation (14 papers)Statistics in Medicine (13 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
John P. Klein
273 papers receiving 20.7k citations
Hit Papers
Peers
Comparison fields: 5 of 221
- Hematology 8.1k
- Statistics and Probability 3.8k
- Transplantation 971
- Immunology 4.0k
- Genetics 1.9k
Countries citing papers authored by John P. Klein
This map shows the geographic impact of John P. Klein'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 John P. Klein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John P. Klein more than expected).
Fields of papers citing papers by John P. Klein
This network shows the impact of papers produced by John P. Klein. 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 John P. Klein. The network helps show where John P. Klein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John P. Klein, 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 | 2024 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 1 | |
| 4 | 2015 | 210 | |
| 5 | 2012 | 1 | |
| 6 | 2011 | 28 | |
| 7 | 2009 | 111 | |
| 8 | 2008 | 115 | |
| 9 | 2006 | 97 | |
| 10 | Flowgraph Models for Multistate Time-to-Event Data. Aparna V. Huzurbazar | 2006 | 1 |
| 11 | 2005 | 1 | |
| 12 | 2004 | 60 | |
| 13 | 2003 | 7 | |
| 14 | 2001 | 42 | |
| 15 | 2001 | 37 | |
| 16 | 2000 | 30 | |
| 17 | 1999 | 3 | |
| 18 | 1997 | 2 | |
| 19 | 1984 | 16 | |
| 20 | Accelerated Life Testing Under Competing Exponential Failure Distributions. | 1981 | 5 |
About John P. Klein
John P. Klein is a scholar working on Hematology, Statistics and Probability, Transplantation, Immunology and Genetics, having authored 279 papers that have together received 21.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (78 papers), Statistical Methods and Inference (44 papers), T-cell and B-cell Immunology (30 papers), Statistical Methods and Bayesian Inference (29 papers), Immune Cell Function and Interaction (27 papers), Acute Lymphoblastic Leukemia research (23 papers), Chronic Myeloid Leukemia Treatments (22 papers) and Acute Myeloid Leukemia Research (21 papers). The work is most often cited by research in Hematology (8.1k citations), Statistics and Probability (3.8k citations), Transplantation (971 citations), Immunology (4.0k citations) and Genetics (1.9k citations). John P. Klein has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Melvin L. Moeschberger, Marepalli B. Rao, Mary M. Horowitz, Per Kragh Andersen, Mary Eapen, Fausto R. Loberiza, Kathleen A. Sobocinski, Michael Haagenson, Mei‐Jie Zhang and John E. Wagner. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Statistics in Medicine, British Journal of Haematology 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.