John T. Fleming

1.9k total citations
30 papers, 1.1k citations indexed

About

John T. Fleming is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, John T. Fleming has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Physiology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in John T. Fleming's work include Nitric Oxide and Endothelin Effects (6 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Insect and Pesticide Research (3 papers). John T. Fleming is often cited by papers focused on Nitric Oxide and Endothelin Effects (6 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Insect and Pesticide Research (3 papers). John T. Fleming collaborates with scholars based in United States, United Kingdom and Germany. John T. Fleming's co-authors include Verena Göbel, David H. Hall, David B. Sattelle, Michael D. Squire, James A. Lewis, Liakot A. Khan, Hongjie Zhang, Thomas M. Barnes, Joohong Ahnn and Kazuhiko Matsuda and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Journal of Neuroscience.

In The Last Decade

John T. Fleming

30 papers receiving 1.1k 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 T. Fleming United States 15 462 425 179 179 168 30 1.1k
Andrew Davis United States 14 466 1.0× 424 1.0× 132 0.7× 157 0.9× 150 0.9× 22 1.1k
Sebastian I. Arriola Apelo United States 14 574 1.2× 198 0.5× 80 0.4× 352 2.0× 151 0.9× 29 1.3k
Eiichi Takaki Japan 24 1.1k 2.5× 191 0.4× 102 0.6× 208 1.2× 367 2.2× 33 1.8k
János Barna Hungary 17 459 1.0× 339 0.8× 93 0.5× 169 0.9× 162 1.0× 30 1.0k
Chen‐Yu Liao United States 14 554 1.2× 468 1.1× 135 0.8× 533 3.0× 90 0.5× 19 1.3k
Simone Renner Germany 21 1.0k 2.2× 50 0.1× 112 0.6× 461 2.6× 136 0.8× 43 2.1k
Antonello Lorenzini Italy 22 667 1.4× 334 0.8× 113 0.6× 670 3.7× 131 0.8× 57 1.6k
Bruce E. Kimmel United States 16 858 1.9× 293 0.7× 195 1.1× 47 0.3× 134 0.8× 25 1.6k
P L Larsen Denmark 11 617 1.3× 940 2.2× 347 1.9× 389 2.2× 32 0.2× 16 1.5k
Matthew R. Gangl United States 8 610 1.3× 79 0.2× 288 1.6× 591 3.3× 42 0.3× 8 1.5k

Countries citing papers authored by John T. Fleming

Since Specialization
Citations

This map shows the geographic impact of John T. Fleming'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 T. Fleming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Fleming more than expected).

Fields of papers citing papers by John T. Fleming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John T. Fleming

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

All Works

20 of 20 papers shown
1.
Fleming, John T., et al.. (2021). Ultimate Gig. 3 indexed citations
2.
Khan, Liakot A., Hongjie Zhang, Lei Sun, et al.. (2013). Intracellular lumen extension requires ERM-1-dependent apical membrane expansion and AQP-8-mediated flux. Nature Cell Biology. 15(2). 143–156. 74 indexed citations
3.
Tyagi, Neetu, Thomas Vacek, Jonathan Vacek, Suresh C. Tyagi, & John T. Fleming. (2011). Hyperhomocysteinemia decreases bone blood flow. Vascular Health and Risk Management. 7. 31–31. 26 indexed citations
4.
Zhang, Hongjie, et al.. (2011). Apicobasal domain identities of expanding tubular membranes depend on glycosphingolipid biosynthesis. Nature Cell Biology. 13(10). 1189–1201. 102 indexed citations
5.
Fleming, John T., et al.. (2008). Nicotine does not reduce blood flow to healthy bone in rats.. PubMed. 37(7). E129–32. 1 indexed citations
6.
Rodríguez, Walter, Neetu Tyagi, Irving G. Joshua, et al.. (2006). Pioglitazone mitigates renal glomerular vascular changes in high-fat, high-calorie-induced type 2 diabetes mellitus. American Journal of Physiology-Renal Physiology. 291(3). F694–F701. 41 indexed citations
7.
8.
Tyagi, Suresh C., Walter Rodríguez, Andrew M. Roberts, et al.. (2005). Hyperhomocysteinemic Diabetic Cardiomyopathy: Oxidative Stress, Remodeling, and Endothelial-Myocyte Uncoupling. Journal of Cardiovascular Pharmacology and Therapeutics. 10(1). 1–10. 43 indexed citations
9.
Culetto, Emmanuel, H.A. Baylis, Janet E. Richmond, et al.. (2004). The Caenorhabditis elegans unc-63 Gene Encodes a Levamisole-sensitive Nicotinic Acetylcholine Receptor α Subunit. Journal of Biological Chemistry. 279(41). 42476–42483. 132 indexed citations
10.
Fleming, John T. & William Lynn. (2004). A 33-Year-Old Man with a Facial Rash. PLoS Medicine. 1(2). e17–e17. 2 indexed citations
11.
Göbel, Verena, et al.. (2004). Lumen Morphogenesis in C. elegans Requires the Membrane-Cytoskeleton Linker erm-1. Developmental Cell. 6(6). 865–873. 136 indexed citations
12.
Fleming, John T., et al.. (2004). Targeted gene alteration in Caenorhabditis elegans by gene conversion. Nature Genetics. 36(11). 1231–1237. 28 indexed citations
13.
Passmore, John C., et al.. (2000). Dietary chloride does not correlate with urinary thromboxane in deoxycorticosterone acetate–treated rats. Journal of Laboratory and Clinical Medicine. 135(6). 493–497. 1 indexed citations
14.
Anderson, Gary L., et al.. (1997). Lack of Nitric Oxide Contributes to Vasospasm during Ischemia/Reperfusion Injury. Plastic & Reconstructive Surgery. 99(4). 1099–1108. 67 indexed citations
15.
Inman, Sharon R., James P. Porter, & John T. Fleming. (1994). Reduced Renal Microvascular Reactivity to Angiotensin II in Diabetic Rats. Microcirculation. 1(2). 137–145. 14 indexed citations
16.
Chen, Jing & John T. Fleming. (1993). Juxtamedullary afferent and efferent arterioles constrict to renal nerve stimulation. Kidney International. 44(4). 684–691. 18 indexed citations
17.
Kirkness, Ewen F., John W. Kusiak, John T. Fleming, et al.. (1991). Isolation, characterization, and localization of human genomic DNA encoding the β1 subunit of the GABAA receptor (GABRB1). Genomics. 10(4). 985–995. 43 indexed citations
18.
Carmines, Pamela K. & John T. Fleming. (1990). Control of the renal microvasculature by vasoactive peptides 1. The FASEB Journal. 4(15). 3300–3309. 32 indexed citations
19.
Fleming, John T., et al.. (1987). Passage of microspheres through vessels of normal and split hydronephrotic rat kidneys. American Journal of Anatomy. 180(2). 185–194. 1 indexed citations
20.
Fleming, John T. & W. Μ. Pedersoli. (1980). Serum Inorganic Fluoride and Renal Function in Dogs After Methoxyflurane Anesthesia, Tetracycline Treatment, and Surgical Manipulation. American Journal of Veterinary Research. 41(12). 2025–2029. 1 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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