John W. Moore

13.7k total citations · 2 hit papers
337 papers, 10.1k citations indexed

About

John W. Moore is a scholar working on Cellular and Molecular Neuroscience, Physical and Theoretical Chemistry and Cognitive Neuroscience. According to data from OpenAlex, John W. Moore has authored 337 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Cellular and Molecular Neuroscience, 71 papers in Physical and Theoretical Chemistry and 55 papers in Cognitive Neuroscience. Recurrent topics in John W. Moore's work include Various Chemistry Research Topics (67 papers), Neuroscience and Neural Engineering (62 papers) and Neural dynamics and brain function (35 papers). John W. Moore is often cited by papers focused on Various Chemistry Research Topics (67 papers), Neuroscience and Neural Engineering (62 papers) and Neural dynamics and brain function (35 papers). John W. Moore collaborates with scholars based in United States, United Kingdom and Australia. John W. Moore's co-authors include Ralph G. Pearson, Arthur A. Frost, Toshio Narahashi, William R. Scott, Kenneth S. Cole, Neil E. Berthier, John E. Desmond, Ronald W. Joyner, Monte Westerfield and Nels C. Anderson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

John W. Moore

310 papers receiving 8.9k citations

Hit Papers

Kinetics and Mechanism 1961 2026 1982 2004 1961 1964 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John W. Moore United States 49 4.0k 2.8k 2.0k 888 886 337 10.1k
Kenneth M. Johnson United States 59 3.7k 0.9× 3.0k 1.1× 474 0.2× 580 0.7× 163 0.2× 273 11.6k
David O. Carpenter United States 64 4.0k 1.0× 2.9k 1.0× 1.8k 0.9× 272 0.3× 833 0.9× 435 17.2k
Toru Takumi Japan 54 2.3k 0.6× 7.5k 2.7× 2.1k 1.0× 495 0.6× 417 0.5× 178 22.2k
George Wald United States 48 4.7k 1.2× 8.1k 2.9× 1.6k 0.8× 256 0.3× 115 0.1× 118 18.7k
John E. Dowling United States 79 12.2k 3.1× 19.0k 6.7× 3.5k 1.7× 165 0.2× 716 0.8× 256 30.5k
Malcolm J. Low United States 72 6.4k 1.6× 6.0k 2.1× 1.8k 0.9× 375 0.4× 266 0.3× 407 23.0k
Robert T. Watson United States 58 620 0.2× 2.0k 0.7× 4.6k 2.3× 152 0.2× 483 0.5× 168 15.0k
Jean‐Pierre Changeux France 113 17.4k 4.4× 37.1k 13.2× 6.8k 3.4× 1.6k 1.8× 1.3k 1.4× 501 52.6k
Nobuo Kato Japan 57 1.9k 0.5× 6.7k 2.4× 1.0k 0.5× 1.5k 1.7× 342 0.4× 494 13.6k
John W. McDonald United States 60 5.2k 1.3× 3.6k 1.3× 557 0.3× 1.2k 1.4× 1.1k 1.2× 269 15.5k

Countries citing papers authored by John W. Moore

Since Specialization
Citations

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

Fields of papers citing papers by John W. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John W. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Moore. A scholar is included among the top collaborators of John W. Moore 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 W. Moore. John W. Moore 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.
Glendening, Eric D., Steven D. Burke, John W. Moore, & Frank Weinhold. (2022). PhysikerversusOrganikerViews of Reaction “Mechanism”: How Natural Resonance Theory Bridges the Gap. Journal of Chemical Education. 99(11). 3702–3712. 2 indexed citations
2.
Moore, John W., et al.. (2011). It's Elemental!. The Science Teacher. 78(5). 40–43.
3.
Moore, John W.. (2005). Digital Map Soup: what's Cooking in British Academic Libraries and are we helping our Users?. SHILAP Revista de lepidopterología.
4.
Moore, John W. & Ann E. Stuart. (2001). Neurons in action : computer simulations with NeuroLab. 7 indexed citations
5.
Kehoe, E. James, et al.. (2000). Coefficients of variation in timing of the classically conditioned eyeblink in rabbits. Psychobiology. 28(4). 520–524. 19 indexed citations
6.
Desmond, John E. & John W. Moore. (1988). Adaptive timing in neural networks: The conditioned response. Biological Cybernetics. 58(6). 405–415. 124 indexed citations
7.
Moore, John W., et al.. (1986). Academic Planning in a Political System.. Planning for higher education. 14(1). 1–5. 3 indexed citations
8.
Moore, John W.. (1983). Project SERAPHIM: Clearinghouse for Materials for Microcomputer Users in Chemical Education.. 1(4). 1 indexed citations
9.
Moore, John W.. (1983). Experience reprogramming TRAC for the HEP computer. Transactions of the American Nuclear Society. 44.
10.
Arispe, Nelson & John W. Moore. (1979). Nonlinear cable equations for axons. I. Computations and experiments with internal current injection.. The Journal of General Physiology. 73(6). 725–735. 3 indexed citations
11.
Ramón, F. & John W. Moore. (1979). Propagation of action potentials in squid giant axons. Repetitive firing at regions of membrane inhomogeneities.. The Journal of General Physiology. 73(5). 595–603. 8 indexed citations
12.
Narahashi, Toshio & John W. Moore. (1968). Neuroactive Agents and Nerve Membrane Conductances. The Journal of General Physiology. 51(5). 93–101. 42 indexed citations
13.
Narahashi, Toshio & John W. Moore. (1968). A Single or Dual Channel in Nerve Membranes. The Journal of General Physiology. 52(3). 553–555. 9 indexed citations
14.
Moore, John W., Mordecai P. Blaustein, Nels C. Anderson, & Toshio Narahashi. (1967). Basis of Tetrodotoxin's Selectivity in Blockage of Squid Axons. The Journal of General Physiology. 50(5). 1401–1411. 117 indexed citations
15.
Narahashi, Toshio, Nels C. Anderson, & John W. Moore. (1967). Comparison of Tetrodotoxin and Procaine in Internally Perfused Squid Giant Axons. The Journal of General Physiology. 50(5). 1413–1428. 87 indexed citations
16.
Moore, John W.. (1965). Voltage Clamp Studies on Internally Perfused Axons. The Journal of General Physiology. 48(5). 11–17. 22 indexed citations
17.
Moore, John W., W. Ulbricht, & Mitsuru Takata. (1964). Effect of Ethanol on the Sodium and Potassium Conductances of the Squid Axon Membrane. The Journal of General Physiology. 48(2). 279–295. 133 indexed citations
18.
Julian, Fred J., John W. Moore, & David E. Goldman. (1962). Current-Voltage Relations in the Lobster Giant Axon Membrane Under Voltage Clamp Conditions. The Journal of General Physiology. 45(6). 1217–1238. 137 indexed citations
19.
Adelman, William J. & John W. Moore. (1961). Action of External Divalent Ion Reduction on Sodium Movement in the Squid Giant Axon. The Journal of General Physiology. 45(1). 93–103. 36 indexed citations
20.
Moore, John W.. (1952). The Flora of the Cedar Creek Forest Area. Digital Well (University of Minnesota Morris). 20(1). 10–19. 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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