Peter G. Steinherz
- Hematology top 0.1%
- Acute Myeloid Leukemia Research 60
- Chronic Myeloid Leukemia Treatments 22
- Hematopoietic Stem Cell Transplantation 12
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- Acute Lymphoblastic Leukemia research 113
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- Childhood Cancer Survivors' Quality of Life 38
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 20
- Oncology top 2%
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- Lymphoma Diagnosis and Treatment 18
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- Neuroblastoma Research and Treatments 16
- Co-authors
- Paul S. GaynonHarland N. SatherJames B. NachmanFatih M. UckunGregory H. ReamanMartha G. SenselBeverly J. LangeNyla A. Heerema
- Cited by
- HematologyPublic Health, Environmental and Occupational HealthPediatrics, Perinatology and Child Health
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Peter G. Steinherz
163 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Hematology 3.5k
- Public Health, Environmental and Occupational Health 4.1k
- Pediatrics, Perinatology and Child Health 2.2k
- Genetics 899
- Oncology 1.4k
Countries citing papers authored by Peter G. Steinherz
This map shows the geographic impact of Peter G. Steinherz'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 Peter G. Steinherz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter G. Steinherz more than expected).
Fields of papers citing papers by Peter G. Steinherz
This network shows the impact of papers produced by Peter G. Steinherz. 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 Peter G. Steinherz. The network helps show where Peter G. Steinherz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter G. Steinherz, 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 | 5 | |
| 2 | 2017 | 1 | |
| 3 | 2017 | 1 | |
| 4 | 2011 | 89 | |
| 5 | 2010 | 3 | |
| 6 | 2010 | 13 | |
| 7 | 2006 | 215 | |
| 8 | The MTOR inhibitor, rapamycin, inhibits growth of Ewing’s sarcoma in vitro and in vivo | 2005 | 1 |
| 9 | 2004 | 188 | |
| 10 | 2002 | 25 | |
| 11 | 2000 | 5 | |
| 12 | 1998 | 1 | |
| 13 | 1997 | 22 | |
| 14 | 1993 | 94 | |
| 15 | 1991 | 11 | |
| 16 | 1991 | 35 | |
| 17 | 1989 | 15 | |
| 18 | 1988 | 31 | |
| 19 | 1984 | 27 | |
| 20 | Phase I study of chlorozotocin | 1978 | 1 |
About Peter G. Steinherz
Peter G. Steinherz is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Genetics, having authored 168 papers that have together received 7.4k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (113 papers), Acute Myeloid Leukemia Research (60 papers), Childhood Cancer Survivors' Quality of Life (38 papers), Chronic Myeloid Leukemia Treatments (22 papers), Chronic Lymphocytic Leukemia Research (20 papers), Lymphoma Diagnosis and Treatment (18 papers), Neuroblastoma Research and Treatments (16 papers) and Hematopoietic Stem Cell Transplantation (12 papers). The work is most often cited by research in Hematology (3.5k citations), Public Health, Environmental and Occupational Health (4.1k citations) and Pediatrics, Perinatology and Child Health (2.2k citations). Peter G. Steinherz has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Paul S. Gaynon, Harland N. Sather, James B. Nachman, Fatih M. Uckun, Gregory H. Reaman, Martha G. Sensel, Beverly J. Lange, Nyla A. Heerema, Michael E. Trigg and Laurel J. Steinherz. Their work appears in journals such as JAMA, Journal of Clinical Oncology and Blood.
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.