Stephen MacLennan
Impact in
- Physiology top 0.2%
- Adenosine and Purinergic Signaling
- Calcium signaling and nucleotide metabolism
- Neurology top 10%
- Vagus Nerve Stimulation Research
Papers in
- Physiology 13
- Adenosine and Purinergic Signaling 13
- Nitric Oxide and Endothelin Effects 2
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- Receptor Mechanisms and Signaling 2
- ATP Synthase and ATPases Research 1
- Co-authors
- Pier Andrea Borea (13 shared papers)Stefania Gessi (12 shared papers)Katia Varani (12 shared papers)Stefania Merighi (9 shared papers)Edward Leung (8 shared papers)Annalisa Benini (7 shared papers)Prisco Mirandola (6 shared papers)Pier Giovanni Baraldi (5 shared papers)
- Journals
- Biochemical Pharmacology (3 papers)Molecular Pharmacology (2 papers)The FASEB Journal (2 papers)SLAS DISCOVERY (1 paper)Neoplasia (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Stephen MacLennan
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Physiology 720
- Neurology 126
- Endocrine and Autonomic Systems 49
- Cancer Research 107
- Cellular and Molecular Neuroscience 125
Countries citing papers authored by Stephen MacLennan
This map shows the geographic impact of Stephen MacLennan'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 Stephen MacLennan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen MacLennan more than expected).
Fields of papers citing papers by Stephen MacLennan
This network shows the impact of papers produced by Stephen MacLennan. 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 Stephen MacLennan. The network helps show where Stephen MacLennan may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen MacLennan, 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 | 2004 | 138 | |
| 2 | 2007 | 127 | |
| 3 | 2006 | 100 | |
| 4 | 2005 | 100 | |
| 5 | 2009 | 99 | |
| 6 | 2005 | 89 | |
| 7 | 2007 | 70 | |
| 8 | 2005 | 67 | |
| 9 | 2007 | 65 | |
| 10 | 2009 | 63 | |
| 11 | 2010 | 57 | |
| 12 | 2004 | 45 | |
| 13 | 1992 | 34 | |
| 14 | 2006 | 33 | |
| 15 | 2009 | 15 | |
| 16 | 1993 | 14 | |
| 17 | 1998 | 11 | |
| 18 | 1988 | 11 | |
| 19 | 2002 | 6 |
About Stephen MacLennan
Stephen MacLennan is a scholar working on Physiology, Molecular Biology, Cancer Research, Physiology and Pathology and Forensic Medicine, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (13 papers), Cancer, Hypoxia, and Metabolism (4 papers), Phagocytosis and Immune Regulation (2 papers), Receptor Mechanisms and Signaling (2 papers), Cancer Mechanisms and Therapy (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers) and ATP Synthase and ATPases Research (1 paper). The work is most often cited by research in Physiology (720 citations), Neurology (126 citations), Endocrine and Autonomic Systems (49 citations), Cancer Research (107 citations) and Cellular and Molecular Neuroscience (125 citations). Stephen MacLennan has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Pier Andrea Borea, Stefania Gessi, Katia Varani, Stefania Merighi, Edward Leung, Annalisa Benini, Prisco Mirandola, Pier Giovanni Baraldi, Edward Leung and Graeme R. Martin. Their work appears in journals such as Biochemical Pharmacology, Molecular Pharmacology, The FASEB Journal, SLAS DISCOVERY and Neoplasia.
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.