Michael R. Blackburn
Impact in
- Physiology top 0.01%
- Adenosine and Purinergic Signaling
- Asthma and respiratory diseases
- Endocrine and Autonomic Systems top 0.5%
- Neuroscience of respiration and sleep
Papers in
- Physiology 88
- Adenosine and Purinergic Signaling 88
- Co-authors
- Rodney E. Kellems (44 shared papers)Jose G. Molina (28 shared papers)Yang Xia (29 shared papers)Harry Karmouty‐Quintana (29 shared papers)Hays W. J. Young (14 shared papers)Janci L. Chunn (10 shared papers)Jonathan B. Volmer (8 shared papers)Yang Zhou (11 shared papers)
- Journals
- The Journal of Immunology (19 papers)Journal of Clinical Investigation (15 papers)The FASEB Journal (14 papers)Blood (10 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (10 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Michael R. Blackburn
187 papers receiving 10.5k citations
Peers
Comparison fields: 5 of 140
- Physiology 4.0k
- Endocrine and Autonomic Systems 817
- Immunology 1.9k
- Neurology 661
- Pulmonary and Respiratory Medicine 2.0k
Countries citing papers authored by Michael R. Blackburn
This map shows the geographic impact of Michael R. Blackburn'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 R. Blackburn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael R. Blackburn more than expected).
Fields of papers citing papers by Michael R. Blackburn
This network shows the impact of papers produced by Michael R. Blackburn. 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 R. Blackburn. The network helps show where Michael R. Blackburn may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael R. Blackburn, 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 192 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 358 | |
| 2 | 2014 | 244 | |
| 3 | 2004 | 241 | |
| 4 | 2011 | 226 | |
| 5 | 2015 | 219 | |
| 6 | 2006 | 183 | |
| 7 | 2007 | 178 | |
| 8 | 2000 | 173 | |
| 9 | 2011 | 173 | |
| 10 | 2015 | 164 | |
| 11 | 2016 | 155 | |
| 12 | 2003 | 153 | |
| 13 | 2010 | 152 | |
| 14 | 2003 | 148 | |
| 15 | 2007 | 144 | |
| 16 | 2009 | 144 | |
| 17 | 2009 | 141 | |
| 18 | 1998 | 135 | |
| 19 | 2003 | 128 | |
| 20 | 2001 | 128 |
About Michael R. Blackburn
Michael R. Blackburn is a scholar working on Physiology, Molecular Biology, Pulmonary and Respiratory Medicine, Immunology and Endocrine and Autonomic Systems, having authored 192 papers that have together received 10.7k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (88 papers), Neuroscience of respiration and sleep (23 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (16 papers), Neonatal Respiratory Health Research (14 papers), Virus-based gene therapy research (13 papers), Immune Cell Function and Interaction (11 papers), Transplantation: Methods and Outcomes (10 papers) and Neonatal Health and Biochemistry (10 papers). The work is most often cited by research in Physiology (4.0k citations), Endocrine and Autonomic Systems (817 citations), Immunology (1.9k citations), Neurology (661 citations) and Pulmonary and Respiratory Medicine (2.0k citations). Michael R. Blackburn has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Rodney E. Kellems, Jose G. Molina, Yang Xia, Harry Karmouty‐Quintana, Hays W. J. Young, Janci L. Chunn, Jonathan B. Volmer, Yang Zhou, Holger K. Eltzschig and Sergey V. Novitskiy. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Investigation, The FASEB Journal, Blood and American Journal of Physiology-Lung Cellular and Molecular Physiology.
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.