Warren Armstrong

2.2k total citations
61 papers, 1.3k citations indexed

About

Warren Armstrong is a scholar working on Molecular Biology, Bioengineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Warren Armstrong has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Bioengineering and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Warren Armstrong's work include Analytical Chemistry and Sensors (9 papers), Ion Transport and Channel Regulation (8 papers) and Electrochemical Analysis and Applications (7 papers). Warren Armstrong is often cited by papers focused on Analytical Chemistry and Sensors (9 papers), Ion Transport and Channel Regulation (8 papers) and Electrochemical Analysis and Applications (7 papers). Warren Armstrong collaborates with scholars based in United States, Australia and Ireland. Warren Armstrong's co-authors include J. Fernando García-Díaz, A. Rothstein, Wolfram Nagel, Michael DeGeorgia, Marc I. Chimowitz, RM Poole, George A. Gerencser, A.C.D. Chaklader, Anthony C. Chao and Wita Wojtkowski and has published in prestigious journals such as Nature, Science and SHILAP Revista de lepidopterología.

In The Last Decade

Warren Armstrong

60 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Warren Armstrong United States 21 581 206 151 124 102 61 1.3k
M. Gutman Israel 25 820 1.4× 290 1.4× 170 1.1× 14 0.1× 32 0.3× 81 1.7k
Hiroshi Kawaguchi Japan 22 380 0.7× 205 1.0× 46 0.3× 47 0.4× 27 0.3× 106 1.6k
John Illingworth United Kingdom 15 498 0.9× 60 0.3× 71 0.5× 118 1.0× 38 0.4× 27 1.1k
Jennie Sturgis United States 14 868 1.5× 158 0.8× 63 0.4× 23 0.2× 29 0.3× 16 1.9k
Kenji Sakamoto Japan 27 1.2k 2.1× 354 1.7× 148 1.0× 199 1.6× 16 0.2× 208 2.9k
A. Ghosh India 17 588 1.0× 117 0.6× 114 0.8× 18 0.1× 23 0.2× 84 1.3k
Philippe Cardot France 29 1.1k 1.9× 106 0.5× 80 0.5× 126 1.0× 16 0.2× 131 3.0k
Minoru Sato Japan 21 256 0.4× 39 0.2× 181 1.2× 19 0.2× 65 0.6× 89 1.3k
Malcolm Bersohn United States 23 701 1.2× 282 1.4× 70 0.5× 1.0k 8.3× 17 0.2× 74 1.9k
J. P. Doucet France 23 1.1k 1.8× 439 2.1× 193 1.3× 33 0.3× 15 0.1× 71 2.3k

Countries citing papers authored by Warren Armstrong

Since Specialization
Citations

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

Fields of papers citing papers by Warren Armstrong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Warren Armstrong

This figure shows the co-authorship network connecting the top 25 collaborators of Warren Armstrong. A scholar is included among the top collaborators of Warren Armstrong 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 Warren Armstrong. Warren Armstrong 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.
Simpson, Leonie, et al.. (2024). Anomaly Detection in Key-Management Activities Using Metadata: A Case Study and Framework. SHILAP Revista de lepidopterología. 5. 315–328. 1 indexed citations
2.
Hasan, Khondokar Fida, Leonie Simpson, Ziaur Rahman, et al.. (2024). A Framework for Migrating to Post-Quantum Cryptography: Security Dependency Analysis and Case Studies. IEEE Access. 12. 23427–23450. 11 indexed citations
3.
Sun, Nan, Chang‐Tsun Li, Md Zahidul Islam, et al.. (2022). Defining Security Requirements With the Common Criteria: Applications, Adoptions, and Challenges. IEEE Access. 10. 44756–44777. 20 indexed citations
4.
Michel, D. T., A. K. Davis, Warren Armstrong, et al.. (2015). Measurements of the ablation-front trajectory and low-mode nonuniformity in direct-drive implosions using x-ray self-emission shadowgraphy. High Power Laser Science and Engineering. 3. 16 indexed citations
5.
Armstrong, Warren, Bedanga Sapkota, & Sanjay R. Mishra. (2013). Silver Decorated Carbon Nanospheres as Effective Visible Light Photocatalyst. MRS Proceedings. 1509. 1 indexed citations
6.
Froula, D. H., V. Rekow, C. Sorce, et al.. (2006). 3 ω transmitted beam diagnostic at the Omega Laser Facility. Review of Scientific Instruments. 77(10). 5 indexed citations
7.
Croxton, Thomas L. & Warren Armstrong. (1992). Calibration of ion-selective microelectrodes. American Journal of Physiology-Cell Physiology. 262(5). C1324–C1334. 5 indexed citations
8.
Croxton, Thomas L., et al.. (1989). Liquid junction potentials calculated from numerical solutions of the Nernst-Planck and poisson equations. Journal of Theoretical Biology. 140(2). 221–230. 17 indexed citations
9.
Lyall, Vijay, et al.. (1988). Double-barreled K+-selective microelectrodes based on dibenzo-18-crown-6. American Journal of Physiology-Cell Physiology. 255(3). C408–C412. 12 indexed citations
10.
Croxton, Thomas L., et al.. (1987). A microcomputer interface for a digital audio processor-based data recording system. Biophysical Journal. 52(4). 653–656. 2 indexed citations
11.
Chao, Anthony C. & Warren Armstrong. (1987). Cl(-)-selective microelectrodes: sensitivity to anionic Cl- transport inhibitors. American Journal of Physiology-Cell Physiology. 253(2). C343–C347. 25 indexed citations
12.
Armstrong, Warren, et al.. (1981). Cyclic AMP and intracellular ionic activities innecturus gallbladder. The Journal of Membrane Biology. 63(1-2). 25–30. 16 indexed citations
13.
García-Díaz, J. Fernando & Warren Armstrong. (1980). The steady-state relationship between sodium and chloride transmembrane electrochemical potential differences inNecturus gallbladder. The Journal of Membrane Biology. 55(3). 213–222. 60 indexed citations
14.
García-Díaz, J. Fernando, et al.. (1979). Sodium-Selective Liquid Ion-Exchanger Microelectrodes for Intracellular Measurements. Science. 203(4387). 1349–1351. 52 indexed citations
15.
Armstrong, Warren, et al.. (1972). Activities of Sodium and Potassium Ions in Epithelial Cells of Small Intestine. Science. 175(4027). 1261–1264. 75 indexed citations
16.
Armstrong, Warren, et al.. (1969). Enhancement of Net Sodium Transport in Isolated Bullfrog Intestine by Sugars and Amino Acids. Experimental Biology and Medicine. 131(1). 46–51. 19 indexed citations
17.
Armstrong, Warren & A. Rothstein. (1967). Discrimination between Alkali Metal Cations by Yeast. The Journal of General Physiology. 50(4). 967–988. 74 indexed citations
18.
Armstrong, Warren & A. Rothstein. (1964). Discrimination between Alkali Metal Cations by Yeast. The Journal of General Physiology. 48(1). 61–71. 79 indexed citations
19.
Armstrong, Warren. (1961). Distribution of Potassium in Baker's Yeast. Nature. 192(4797). 65–66. 7 indexed citations
20.
Armstrong, Warren. (1957). Surface active agents and cellular metabolism. I. The effect of cationic detergents on the production of acid and of carbon dioxide by baker's yeast. Archives of Biochemistry and Biophysics. 71(1). 137–147. 33 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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