Jeffrey S. Buzby
- Hematology top 2%
- Platelet Disorders and Treatments 5
- Blood groups and transfusion 4
- Genetics top 10%
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- Neurogenesis and neuroplasticity mechanisms 4
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- Neonatal and fetal brain pathology 5
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- RNA Interference and Gene Delivery 3
- Photosynthetic Processes and Mechanisms 3
- Advanced biosensing and bioanalysis techniques 3
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- Neonatal Respiratory Health Research 3
- Co-authors
- Mei ChangDiane J. NugentRonald D. PorterS. Edward StevensShirley WilliamsKaren L. ImfeldMS CairoPeggy Nakagawa
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- United StatesChina
In The Last Decade
Jeffrey S. Buzby
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Hematology 491
- Genetics 106
- Immunology 178
- Immunology and Allergy 40
- Developmental Neuroscience 27
Countries citing papers authored by Jeffrey S. Buzby
This map shows the geographic impact of Jeffrey S. Buzby'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 Jeffrey S. Buzby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey S. Buzby more than expected).
Fields of papers citing papers by Jeffrey S. Buzby
This network shows the impact of papers produced by Jeffrey S. Buzby. 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 Jeffrey S. Buzby. The network helps show where Jeffrey S. Buzby may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey S. Buzby, 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 | 2020 | 3 | |
| 2 | 2018 | 13 | |
| 3 | 2017 | 3 | |
| 4 | 2014 | 4 | |
| 5 | 2014 | 19 | |
| 6 | 2013 | 13 | |
| 7 | 2012 | 18 | |
| 8 | 2012 | 8 | |
| 9 | 2010 | 59 | |
| 10 | 2003 | 297 | |
| 11 | 2000 | 6 | |
| 12 | 1999 | 55 | |
| 13 | 1999 | 19 | |
| 14 | 1997 | 10 | |
| 15 | 1996 | 70 | |
| 16 | Circulating steel factor (SLF) and G-CSF levels in preterm and term newborn and adult peripheral blood. | 1993 | 10 |
| 17 | Decreased endogenous circulating Steel factor (SLF) levels following allogeneic and autologous BMT: lack of an inverse correlation with post-BMT myeloid engraftment. | 1993 | 17 |
| 18 | 1990 | 52 | |
| 19 | 1988 | 37 | |
| 20 | 1986 | 17 |
About Jeffrey S. Buzby
Jeffrey S. Buzby is a scholar working on Developmental Neuroscience, Hematology and Neurology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (5 papers), Platelet Disorders and Treatments (5 papers), Blood groups and transfusion (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), RNA Interference and Gene Delivery (3 papers), Neonatal Respiratory Health Research (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Hematology (491 citations), Genetics (106 citations) and Immunology (178 citations). Jeffrey S. Buzby has collaborated with scholars based in United States and China. Frequent co-authors include Mei Chang, Diane J. Nugent, Ronald D. Porter, S. Edward Stevens, Shirley Williams, Karen L. Imfeld, MS Cairo, Peggy Nakagawa, Michael R. Schwartz and Y Suen. Their work appears in journals such as Science, Journal of Biological Chemistry 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.