Nathan Petty
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
Papers in
- Hematology 27
- Multiple Myeloma Research and Treatments 27
- Acute Myeloid Leukemia Research 3
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- Protein Degradation and Inhibitors 14
- Co-authors
- Bart Barlogie (27 shared papers)John Crowley (20 shared papers)Frits van Rhee (23 shared papers)Antje Hoering (22 shared papers)John D. Shaughnessy (11 shared papers)Sarah Waheed (21 shared papers)Elias Anaissie (9 shared papers)Yazan Alsayed (10 shared papers)
- Journals
- Blood (14 papers)Journal of Clinical Oncology (4 papers)Haematologica (3 papers)Cardiovascular Toxicology (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United States
In The Last Decade
Nathan Petty
27 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 54
- Hematology 1.2k
- Oncology 575
- Genetics 121
- Molecular Biology 826
- Pathology and Forensic Medicine 66
Countries citing papers authored by Nathan Petty
This map shows the geographic impact of Nathan Petty'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 Nathan Petty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Petty more than expected).
Fields of papers citing papers by Nathan Petty
This network shows the impact of papers produced by Nathan Petty. 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 Nathan Petty. The network helps show where Nathan Petty may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Petty, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 246 | |
| 2 | 2008 | 167 | |
| 3 | 2013 | 146 | |
| 4 | 2013 | 125 | |
| 5 | 2008 | 99 | |
| 6 | 2016 | 94 | |
| 7 | 2010 | 83 | |
| 8 | 2008 | 77 | |
| 9 | 2012 | 46 | |
| 10 | 2012 | 45 | |
| 11 | 2018 | 40 | |
| 12 | 2015 | 36 | |
| 13 | 2010 | 28 | |
| 14 | 2013 | 23 | |
| 15 | 2002 | 19 | |
| 16 | 2009 | 15 | |
| 17 | 2012 | 13 | |
| 18 | 2013 | 10 | |
| 19 | 2006 | 7 | |
| 20 | 2013 | 6 |
About Nathan Petty
Nathan Petty is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Neurology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (27 papers), Protein Degradation and Inhibitors (14 papers), Cancer Treatment and Pharmacology (8 papers), Peptidase Inhibition and Analysis (6 papers), Acute Myeloid Leukemia Research (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Neuroblastoma Research and Treatments (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (1.2k citations), Oncology (575 citations), Genetics (121 citations), Molecular Biology (826 citations) and Pathology and Forensic Medicine (66 citations). Nathan Petty has collaborated with scholars based in United States. Frequent co-authors include Bart Barlogie, John Crowley, Frits van Rhee, Antje Hoering, John D. Shaughnessy, Sarah Waheed, Elias Anaissie, Yazan Alsayed, Joshua Epstein and Maurizio Zangari. Their work appears in journals such as Blood, Journal of Clinical Oncology, Haematologica, Cardiovascular Toxicology and Clinical Cancer Research.
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.