John Falconer

1.2k total citations
19 papers, 522 citations indexed

About

John Falconer is a scholar working on Nutrition and Dietetics, Behavioral Neuroscience and Molecular Biology. According to data from OpenAlex, John Falconer has authored 19 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nutrition and Dietetics, 5 papers in Behavioral Neuroscience and 4 papers in Molecular Biology. Recurrent topics in John Falconer's work include Stress Responses and Cortisol (5 papers), Fatty Acid Research and Health (4 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). John Falconer is often cited by papers focused on Stress Responses and Cortisol (5 papers), Fatty Acid Research and Health (4 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). John Falconer collaborates with scholars based in Australia, United Kingdom and United States. John Falconer's co-authors include Manohar L. Garg, James Leitch, Roger Smith, Tom Bowen, Graham F. Pineo, Gemma Madsen, W. R. Wayne Martin, Kenner C. Rice, Jun Wada and George P. Chrousos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Endocrinology.

In The Last Decade

John Falconer

19 papers receiving 502 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Falconer Australia 13 177 123 79 68 63 19 522
A. Faletti Argentina 17 44 0.2× 110 0.9× 91 1.2× 139 2.0× 50 0.8× 57 862
Colin T. Jones United Kingdom 14 102 0.6× 171 1.4× 101 1.3× 16 0.2× 65 1.0× 31 746
Amanda Baron Campaña Brazil 13 54 0.3× 62 0.5× 79 1.0× 60 0.9× 20 0.3× 19 475
María Olga Suescun Argentina 13 65 0.4× 115 0.9× 164 2.1× 41 0.6× 79 1.3× 23 616
Paul Petrus Sweden 18 115 0.6× 256 2.1× 51 0.6× 65 1.0× 10 0.2× 26 822
András Balogh Germany 14 63 0.4× 238 1.9× 21 0.3× 44 0.6× 26 0.4× 23 593
Jiayin Lu China 12 75 0.4× 199 1.6× 20 0.3× 138 2.0× 11 0.2× 23 742
Manoj Kumar Gunasekaran Réunion 8 56 0.3× 107 0.9× 28 0.4× 21 0.3× 11 0.2× 8 496
Arthur Saltzman United States 12 34 0.2× 82 0.7× 28 0.4× 29 0.4× 25 0.4× 63 486
BA Scoggins Australia 18 84 0.5× 181 1.5× 264 3.3× 18 0.3× 127 2.0× 35 857

Countries citing papers authored by John Falconer

Since Specialization
Citations

This map shows the geographic impact of John Falconer'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 John Falconer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Falconer more than expected).

Fields of papers citing papers by John Falconer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Falconer. 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 John Falconer. The network helps show where John Falconer may publish in the future.

Co-authorship network of co-authors of John Falconer

This figure shows the co-authorship network connecting the top 25 collaborators of John Falconer. A scholar is included among the top collaborators of John Falconer 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 John Falconer. John Falconer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Peñalva, Rosana, Marie Dittmer, Michelle Naughton, et al.. (2020). Dynamic CCN3 expression in the murine CNS does not confer essential roles in myelination or remyelination. Proceedings of the National Academy of Sciences. 117(30). 18018–18028. 22 indexed citations
2.
Naughton, Michelle, Andrew Young, John Falconer, et al.. (2020). CCN3 is dynamically regulated by treatment and disease state in multiple sclerosis. Journal of Neuroinflammation. 17(1). 349–349. 12 indexed citations
3.
McMurran, Christopher E, Alerie Guzman de la Fuente, Rosana Peñalva, et al.. (2019). The microbiota regulates murine inflammatory responses to toxin-induced CNS demyelination but has minimal impact on remyelination. Proceedings of the National Academy of Sciences. 116(50). 25311–25321. 32 indexed citations
4.
Tinneberg, H.-R., et al.. (2012). Immunological Role of the Placenta, Blocking Factors and NK Cells in Post-implantation Pregnancy.. PubMed. 8(1-2). 2–16. 1 indexed citations
5.
Read, Mark A., et al.. (2001). Dietary n-3 fatty acids alter the contractile response to thromboxane A2 agonists of porcine coronary arteries. The Journal of Nutritional Biochemistry. 12(5). 258–265. 1 indexed citations
6.
Roberts, Timothy K., et al.. (2000). Recurrent pregnancy losses and the role of immunotherapy. Archives of Gynecology and Obstetrics. 264(1). 3–12. 13 indexed citations
7.
8.
Leitch, James, et al.. (1999). Cardiac (n-3) Non-Esterified Fatty Acids Are Selectively Increased in Fish Oil-Fed Pigs following Myocardial Ischemia. Journal of Nutrition. 129(8). 1518–1523. 22 indexed citations
9.
Falconer, John, et al.. (1998). A Corticotropin-Releasing Hormone Type I Receptor Antagonist Delays Parturition in Sheep. Endocrinology. 139(7). 3357–3360. 46 indexed citations
10.
Leitch, James, et al.. (1997). Prevention of Cardiac Arrhythmia by Dietary (n-3) Polyunsaturated Fatty Acids and Their Mechanism of Action ,. Journal of Nutrition. 127(3). 383–393. 184 indexed citations
11.
Hall, Amanda L., et al.. (1997). Elution and partial characterization of immunoglobulins bound to ovine placenta. Immunology and Cell Biology. 75(3). 231–237. 4 indexed citations
12.
Falconer, John, et al.. (1990). PET, CT, and MRI Imaging of Neuronal Migration Anomalies in Epileptic Patients. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 17(1). 35–39. 29 indexed citations
13.
Thomson, M., et al.. (1990). Intracellular mechanisms governing the acute phase of β-endorphin secretion from the corticotrope in vitro. Neuroscience Letters. 110(3). 343–348. 5 indexed citations
14.
Thomson, M., Eng‐Cheng Chan, John Falconer, et al.. (1990). Desensitization of Superfused Isolated Ovine Anterior Pituitary Cells to Human Corticotropin‐Releasing Factor. Journal of Neuroendocrinology. 2(2). 181–187. 16 indexed citations
15.
Falconer, John, et al.. (1988). Immunoreactive Methionine-Enkephalin in Cerebrospinal Fluid and Blood Plasma during Acute Stress in Conscious Sheep*. Endocrinology. 122(1). 311–318. 13 indexed citations
16.
Falconer, John. (1987). Oral Epidermal Growth Factor Is Trophic for the Stomach in the Neonatal Rat. Neonatology. 52(6). 347–350. 24 indexed citations
17.
Falconer, John, et al.. (1987). Essential thrombocythemia associated with recurrent abortions and fetal growth retardation. American Journal of Hematology. 25(3). 345–347. 58 indexed citations
18.
Smith, Roger, et al.. (1986). Acute Hemorrhagic Stress in Conscious Sheep Elevates Immunoreactiveβ-Endorphin in Plasma but Not in Cerebrospinal Fluid*. Endocrinology. 118(6). 2572–2576. 25 indexed citations
19.
Chan, Eng‐Cheng, et al.. (1985). Secretion of N-terminal pro-opiomelanocortin-derived peptides in response to acute haemorrhagic stress in conscious sheep. Biochemical and Biophysical Research Communications. 133(2). 648–653. 5 indexed citations

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.

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