Michael D. Green
- Oncology top 1%
- Molecular Biology top 5%
- Public Health, Environmental and Occupational Health top 1%
- Pulmonary and Respiratory Medicine top 2%
- Surgery top 5%
- Co-authors
- Robert L. SutherlandFacundo M. FernándezPaul N. NewtonRussell L. BasserHans‐Willem SnoeckSarah X.L. HuangRoger R. ReddelMelanie Mumau
- Topics
- Cancer Immunotherapy and Biomarkers (28 papers)Malaria Research and Control (19 papers)Pharmaceutical Quality and Counterfeiting (17 papers)
- Cited by
- Applied Microbiology and BiotechnologyOncologyPublic Health, Environmental and Occupational Health
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Michael D. Green
157 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Oncology 1.8k
- Molecular Biology 1.7k
- Public Health, Environmental and Occupational Health 1.4k
- Pulmonary and Respiratory Medicine 1.3k
- Surgery 911
Countries citing papers authored by Michael D. Green
This map shows the geographic impact of Michael D. Green'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 Michael D. Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Green more than expected).
Fields of papers citing papers by Michael D. Green
This network shows the impact of papers produced by Michael D. Green. 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 Michael D. Green. The network helps show where Michael D. Green may publish in the future.
Co-authorship network of co-authors of Michael D. Green
This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Green. A scholar is included among the top collaborators of Michael D. Green based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael D. Green. Michael D. Green is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 8 | |
| 9 | 17 | |
| 10 | 10 | |
| 11 | 22 | |
| 12 | 150 | |
| 13 | Positive Externalities and the Economics of Proximate Cause | 0 |
| 14 | 7 | |
| 15 | 22 | |
| 16 | 35 | |
| 17 | The Future of Proportional Liability | 2 |
| 18 | 131 | |
| 19 | 12 | |
| 20 | From Here to Attorney’s Fees: Certainty Efficiency and Fairness in the Journey to the Appellate Courts | 0 |
About Michael D. Green
Michael D. Green is a scholar working on Oncology, Applied Microbiology and Biotechnology and Toxicology, having authored 168 papers that have together received 6.7k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (28 papers), Malaria Research and Control (19 papers) and Pharmaceutical Quality and Counterfeiting (17 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (178 citations), Oncology (1.8k citations) and Public Health, Environmental and Occupational Health (1.4k citations). Michael D. Green has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Robert L. Sutherland, Facundo M. Fernández, Paul N. Newton, Russell L. Basser, Hans‐Willem Snoeck, Sarah X.L. Huang, Roger R. Reddel, Melanie Mumau, Ya‐Wen Chen and Nicholas J. White. Their work appears in journals such as Nature, New England Journal of Medicine and The Lancet.
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.