John C. Panetta
Impact in
- Modeling and Simulation top 0.1%
- Mathematical Biology Tumor Growth
- Oncology top 1%
- Drug Transport and Resistance Mechanisms
Papers in ⓘ
- Hematology 46
- Acute Myeloid Leukemia Research 17
- Hematopoietic Stem Cell Transplantation 16
- Chronic Myeloid Leukemia Treatments 15
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- Mathematical Biology Tumor Growth 15
- Co-authors
- Denise E. Kirschner (1 shared paper)Mary V. Relling (44 shared papers)Ching‐Hon Pui (45 shared papers)Clinton F. Stewart (38 shared papers)William E. Evans (30 shared papers)K. Renee Fister (2 shared papers)Deqing Pei (17 shared papers)Wenjian Yang (15 shared papers)
- Journals
- Blood (18 papers)Cancer Chemotherapy and Pharmacology (17 papers)Journal of Clinical Oncology (16 papers)Clinical Cancer Research (8 papers)Cancer (7 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
John C. Panetta
153 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Modeling and Simulation 1.2k
- Oncology 2.3k
- Pediatrics, Perinatology and Child Health 1.6k
- Hematology 901
- Public Health, Environmental and Occupational Health 2.1k
Countries citing papers authored by John C. Panetta
This map shows the geographic impact of John C. Panetta'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 C. Panetta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Panetta more than expected).
Fields of papers citing papers by John C. Panetta
This network shows the impact of papers produced by John C. Panetta. 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 C. Panetta. The network helps show where John C. Panetta may publish in the future.
Co-authors
The 25 scholars most cited alongside John C. Panetta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Modeling immunotherapy of the tumor - immune interaction Hit paper breakdown → | 1998 | 678 |
| 2 | 2004 | 321 | |
| 3 | 2009 | 267 | |
| 4 | 2014 | 242 | |
| 5 | 1996 | 191 | |
| 6 | 2010 | 186 | |
| 7 | 2004 | 163 | |
| 8 | 2012 | 157 | |
| 9 | 2005 | 137 | |
| 10 | 2006 | 133 | |
| 11 | 2000 | 124 | |
| 12 | 1995 | 110 | |
| 13 | 2005 | 109 | |
| 14 | 2008 | 107 | |
| 15 | 2004 | 103 | |
| 16 | 2003 | 96 | |
| 17 | 1998 | 87 | |
| 18 | 2006 | 85 | |
| 19 | 2012 | 85 | |
| 20 | 2009 | 84 |
About John C. Panetta
John C. Panetta is a scholar working on Hematology, Modeling and Simulation, Oncology, Genetics and Public Health, Environmental and Occupational Health, having authored 161 papers that have together received 6.6k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (62 papers), Cancer therapeutics and mechanisms (33 papers), Childhood Cancer Survivors' Quality of Life (31 papers), Lung Cancer Research Studies (18 papers), Acute Myeloid Leukemia Research (17 papers), Hematopoietic Stem Cell Transplantation (16 papers), Chronic Myeloid Leukemia Treatments (15 papers) and Mathematical Biology Tumor Growth (15 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Oncology (2.3k citations), Pediatrics, Perinatology and Child Health (1.6k citations), Hematology (901 citations) and Public Health, Environmental and Occupational Health (2.1k citations). John C. Panetta has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Denise E. Kirschner, Mary V. Relling, Ching‐Hon Pui, Clinton F. Stewart, William E. Evans, K. Renee Fister, Deqing Pei, Wenjian Yang, Cheng Cheng and John Adam. Their work appears in journals such as Blood, Cancer Chemotherapy and Pharmacology, Journal of Clinical Oncology, Clinical Cancer Research and Cancer.
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.