J J Singer

1.3k total citations
17 papers, 1.1k citations indexed

About

J J Singer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, J J Singer has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in J J Singer's work include Ion channel regulation and function (12 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neuroscience and Neural Engineering (5 papers). J J Singer is often cited by papers focused on Ion channel regulation and function (12 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neuroscience and Neural Engineering (5 papers). J J Singer collaborates with scholars based in United States, Germany and United Kingdom. J J Singer's co-authors include John V. Walsh, Richard W. Ordway, Vincent Walsh, James C. Houk, Agustı́n Guerrero, F S Fay, M. Goldman, Elwood Henneman, Steven Petrou and Lucie H. Clapp and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology and Trends in Neurosciences.

In The Last Decade

J J Singer

17 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
J J Singer United States 14 700 437 253 166 150 17 1.1k
Ian R. Neering Australia 14 627 0.9× 405 0.9× 183 0.7× 109 0.7× 188 1.3× 22 1.0k
M. Angélica Carrasco Chile 17 742 1.1× 471 1.1× 108 0.4× 328 2.0× 49 0.3× 27 1.2k
James S.C. Gilchrist Canada 16 587 0.8× 288 0.7× 166 0.7× 114 0.7× 39 0.3× 32 1.0k
Fivos Vogalis United States 24 863 1.2× 572 1.3× 322 1.3× 174 1.0× 36 0.2× 40 1.3k
Ricardo Bull Chile 20 623 0.9× 309 0.7× 214 0.8× 224 1.3× 54 0.4× 40 1.1k
Annegret Herrmann-Frank Germany 14 1.0k 1.4× 497 1.1× 457 1.8× 151 0.9× 112 0.7× 21 1.2k
Donald R. Matteson United States 22 1.7k 2.5× 1.2k 2.8× 495 2.0× 155 0.9× 86 0.6× 30 2.3k
A. K. Dixon United Kingdom 21 832 1.2× 695 1.6× 161 0.6× 470 2.8× 27 0.2× 30 1.5k
Takashi Akasu Japan 21 725 1.0× 867 2.0× 108 0.4× 155 0.9× 24 0.2× 131 1.3k
Alexander A. Harper United Kingdom 19 910 1.3× 859 2.0× 226 0.9× 750 4.5× 40 0.3× 38 1.6k

Countries citing papers authored by J J Singer

Since Specialization
Citations

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

Fields of papers citing papers by J J Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J J Singer

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

All Works

17 of 17 papers shown
1.
Zou, Hui, Mehmet Uğur, Robert M. Drummond, & J J Singer. (2001). Coupling of a P2Z‐like purinoceptor to a fatty acid‐activated K+ channel in toad gastric smooth muscle cells. The Journal of Physiology. 534(1). 59–70. 7 indexed citations
2.
Fink, Bernd, et al.. (1999). Biomechanical properties of tendons during lower-leg lengthening in dogs using the Ilizarov method. Journal of Biomechanics. 32(8). 763–768. 13 indexed citations
3.
Fink, Bernd, et al.. (1999). . Journal of Pediatric Orthopaedics. 19(3). 380–385. 4 indexed citations
4.
Fink, Bernd, et al.. (1999). Behavior of Tendons During Lower-Leg Lengthening in Dogs Using the Ilizarov Method. Journal of Pediatric Orthopaedics. 19(3). 380–385. 15 indexed citations
5.
Uğur, Mehmet, Robert M. Drummond, Hui Zou, et al.. (1997). An ATP‐gated cation channel with some P2Z‐like characteristics in gastric smooth muscle cells of toad.. The Journal of Physiology. 498(2). 427–442. 29 indexed citations
6.
Petrou, Steven, Richard W. Ordway, Michael T. Kirber, et al.. (1995). Direct effects of fatty acids and other charged lipids on ion channel activity in smooth muscle cells. Prostaglandins Leukotrienes and Essential Fatty Acids. 52(2-3). 173–178. 34 indexed citations
7.
Ordway, Richard W., Steven Petrou, Michael T. Kirber, John V. Walsh, & J J Singer. (1995). Stretch activation of a toad smooth muscle K+ channel may be mediated by fatty acids.. The Journal of Physiology. 484(2). 331–337. 37 indexed citations
8.
Guerrero, Agustı́n, F S Fay, & J J Singer. (1994). Caffeine activates a Ca(2+)-permeable, nonselective cation channel in smooth muscle cells.. The Journal of General Physiology. 104(2). 375–394. 65 indexed citations
9.
Guerrero, Agustı́n, J J Singer, & F S Fay. (1994). Simultaneous measurement of Ca2+ release and influx into smooth muscle cells in response to caffeine. A novel approach for calculating the fraction of current carried by calcium.. The Journal of General Physiology. 104(2). 395–422. 53 indexed citations
10.
Petrou, Steven, Richard W. Ordway, James A. Hamilton, John V. Walsh, & J J Singer. (1994). Structural requirements for charged lipid molecules to directly increase or suppress K+ channel activity in smooth muscle cells. Effects of fatty acids, lysophosphatidate, acyl coenzyme A and sphingosine.. The Journal of General Physiology. 103(3). 471–486. 49 indexed citations
11.
Walsh, John V., et al.. (1993). Stretch-inactivated cationic channels in single smooth muscle cells. Pflügers Archiv - European Journal of Physiology. 422(4). 393–396. 17 indexed citations
12.
Ordway, Richard W., J J Singer, & John V. Walsh. (1991). Direct regulation of ion channels by fatty acids. Trends in Neurosciences. 14(3). 96–100. 346 indexed citations
13.
Clapp, Lucie H., et al.. (1990). Dual regulation of M current in gastric smooth muscle cells: β-adrenergic-muscarinic antagonism. Pflügers Archiv - European Journal of Physiology. 417(3). 291–302. 15 indexed citations
14.
Clapp, Lucie H., Michel Vivaudou, John V. Walsh, & J J Singer. (1987). Acetylcholine increases voltage-activated Ca2+ current in freshly dissociated smooth muscle cells.. Proceedings of the National Academy of Sciences. 84(7). 2092–2096. 64 indexed citations
15.
Singer, J J & Vincent Walsh. (1987). Characterization of calcium-activated potassium channels in single smooth muscle cells using the patch-clamp technique. Pflügers Archiv - European Journal of Physiology. 408(2). 98–111. 156 indexed citations
16.
Houk, James C., J J Singer, & Elwood Henneman. (1971). Adequate stimulus for tendon organs with observations on mechanics of ankle joint.. Journal of Neurophysiology. 34(6). 1051–1065. 77 indexed citations
17.
Houk, James C., J J Singer, & M. Goldman. (1970). An evaluation of length and force feedback to soleus muscles of decerebrate cats.. Journal of Neurophysiology. 33(6). 784–811. 112 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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