Christopher Greene
Impact in
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- Mesenchymal stem cell research
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- Escherichia coli research studies
Papers in
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- Immune Cell Function and Interaction 2
- Immunotherapy and Immune Responses 2
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- Renal and related cancers 2
- Epigenetics and DNA Methylation 2
- Co-authors
- John W. Connell (7 shared papers)Eric Kauffman (3 shared papers)Kenneth W. Gross (3 shared papers)Nitika Sharma (3 shared papers)James Crosby (5 shared papers)Gary J. Smith (2 shared papers)Michalis Mastri (1 shared paper)Techung Lee (1 shared paper)
- Journals
- Academic Emergency Medicine (3 papers)PLoS ONE (2 papers)Clinical and Vaccine Immunology (1 paper)Free Radical Biology and Medicine (1 paper)The Ultrasound Journal (1 paper)
- Partner nations
- United StatesBrazilSweden
In The Last Decade
Christopher Greene
25 papers receiving 413 citations
Peers
Comparison fields: 5 of 98
- Genetics 50
- Endocrinology 21
- Critical Care and Intensive Care Medicine 15
- Immunology 60
- Hematology 29
Countries citing papers authored by Christopher Greene
This map shows the geographic impact of Christopher Greene'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 Christopher Greene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Greene more than expected).
Fields of papers citing papers by Christopher Greene
This network shows the impact of papers produced by Christopher Greene. 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 Christopher Greene. The network helps show where Christopher Greene may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Greene, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 70 | |
| 2 | 2017 | 58 | |
| 3 | 2022 | 32 | |
| 4 | 2020 | 26 | |
| 5 | 2020 | 25 | |
| 6 | 2010 | 25 | |
| 7 | 2022 | 20 | |
| 8 | 2020 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2018 | 17 | |
| 11 | 2018 | 16 | |
| 12 | 2016 | 16 | |
| 13 | 2020 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2014 | 12 | |
| 16 | 2015 | 9 | |
| 17 | 2017 | 8 | |
| 18 | 2023 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2021 | 5 |
About Christopher Greene
Christopher Greene is a scholar working on Immunology, Molecular Biology, Pulmonary and Respiratory Medicine, Biotechnology and Endocrinology, having authored 25 papers that have together received 420 indexed citations. Recurring topics across this work include Escherichia coli research studies (4 papers), Renal cell carcinoma treatment (3 papers), Renal and related cancers (2 papers), Transgenic Plants and Applications (2 papers), COVID-19 and Mental Health (2 papers), Immune Cell Function and Interaction (2 papers), Epigenetics and DNA Methylation (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Genetics (50 citations), Endocrinology (21 citations), Critical Care and Intensive Care Medicine (15 citations), Immunology (60 citations) and Hematology (29 citations). Christopher Greene has collaborated with scholars based in United States, Brazil and Sweden. Frequent co-authors include John W. Connell, Eric Kauffman, Kenneth W. Gross, Nitika Sharma, James Crosby, Gary J. Smith, Michalis Mastri, Techung Lee, Gen Suzuki and Kristopher Attwood. Their work appears in journals such as Academic Emergency Medicine, PLoS ONE, Clinical and Vaccine Immunology, Free Radical Biology and Medicine and The Ultrasound Journal.
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.