Mark J. Pettenati
- Hematology top 0.2%
- Acute Myeloid Leukemia Research 43
- Chronic Myeloid Leukemia Treatments 19
- Genetics top 1%
- Genomic variations and chromosomal abnormalities 17
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- Acute Lymphoblastic Leukemia research 19
- Genetics top 2%
- Genomic variations and chromosomal abnormalities 17
- Molecular Biology top 5%
- Retinoids in leukemia and cellular processes 9
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- Prenatal Screening and Diagnostics 18
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- Chromosomal and Genetic Variations 12
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- Sarcoma Diagnosis and Treatment 9
- Co-authors
- Andrew J. CarrollClara D. BloomfieldRobert J. MayerP. Nagesh RaoRichard A. LarsonKrzysztof MrózekCharles A. SchifferRamana Tantravahi
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Mark J. Pettenati
145 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Hematology 2.3k
- Genetics 620
- Public Health, Environmental and Occupational Health 1.1k
- Genetics 998
- Molecular Biology 2.1k
Countries citing papers authored by Mark J. Pettenati
This map shows the geographic impact of Mark J. Pettenati'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 Mark J. Pettenati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Pettenati more than expected).
Fields of papers citing papers by Mark J. Pettenati
This network shows the impact of papers produced by Mark J. Pettenati. 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 Mark J. Pettenati. The network helps show where Mark J. Pettenati may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark J. Pettenati, 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 | 2011 | 10 | |
| 2 | 2007 | 40 | |
| 3 | 2007 | 31 | |
| 4 | 2005 | 6 | |
| 5 | 2005 | 4 | |
| 6 | 2004 | 2 | |
| 7 | 2003 | 16 | |
| 8 | 2003 | 10 | |
| 9 | 2001 | 97 | |
| 10 | 2001 | 126 | |
| 11 | 2000 | 1 | |
| 12 | 2000 | 5 | |
| 13 | 1998 | 75 | |
| 14 | 1998 | 3 | |
| 15 | 1996 | 19 | |
| 16 | 1996 | 30 | |
| 17 | 1995 | 7 | |
| 18 | 1994 | 8 | |
| 19 | A genetic map of chromosome 20q12-q13.1: multiple highly polymorphic microsatellite and RFLP markers linked to the maturity-onset diabetes of the young (MODY) locus. | 1993 | 26 |
| 20 | 1993 | 30 |
About Mark J. Pettenati
Mark J. Pettenati is a scholar working on Hematology, Genetics and Genetics, having authored 148 papers that have together received 5.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (43 papers), Chronic Myeloid Leukemia Treatments (19 papers), Acute Lymphoblastic Leukemia research (19 papers), Prenatal Screening and Diagnostics (18 papers), Genomic variations and chromosomal abnormalities (17 papers), Chromosomal and Genetic Variations (12 papers), Retinoids in leukemia and cellular processes (9 papers) and Sarcoma Diagnosis and Treatment (9 papers). The work is most often cited by research in Hematology (2.3k citations), Genetics (620 citations) and Public Health, Environmental and Occupational Health (1.1k citations). Mark J. Pettenati has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Andrew J. Carroll, Clara D. Bloomfield, Robert J. Mayer, P. Nagesh Rao, Richard A. Larson, Krzysztof Mrózek, Charles A. Schiffer, Ramana Tantravahi, Frederick R. Davey and Amy S. Ruppert. Their work appears in journals such as Genomics, Blood, Archives of Pathology & Laboratory Medicine, Journal of Clinical Oncology and Prenatal Diagnosis.
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.