G.E. Amidon

992 total citations
6 papers, 603 citations indexed

About

G.E. Amidon is a scholar working on Pharmaceutical Science, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, G.E. Amidon has authored 6 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmaceutical Science, 2 papers in Mechanical Engineering and 2 papers in Materials Chemistry. Recurrent topics in G.E. Amidon's work include Drug Solubulity and Delivery Systems (5 papers), Crystallization and Solubility Studies (2 papers) and Inflammatory mediators and NSAID effects (1 paper). G.E. Amidon is often cited by papers focused on Drug Solubulity and Delivery Systems (5 papers), Crystallization and Solubility Studies (2 papers) and Inflammatory mediators and NSAID effects (1 paper). G.E. Amidon collaborates with scholars based in United States, Germany and Spain. G.E. Amidon's co-authors include Deanna M. Mudie, Gordon L. Amidon, Lianghao Han, Andrew R. Mills, A.C. Bentham, Bruno C. Hancock, James A. Elliott, Peter Langguth, Yasuhiro Tsume and William I. Higuchi and has published in prestigious journals such as Journal of Pharmaceutical Sciences, Journal of Theoretical Biology and International Journal of Solids and Structures.

In The Last Decade

G.E. Amidon

6 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G.E. Amidon United States 6 328 180 123 75 52 6 603
Bert van Veen Finland 11 461 1.4× 76 0.4× 222 1.8× 71 0.9× 51 1.0× 24 741
Sarsvatkumar Patel India 16 562 1.7× 160 0.9× 217 1.8× 100 1.3× 82 1.6× 21 832
Omar Sprockel United States 17 451 1.4× 151 0.8× 71 0.6× 107 1.4× 30 0.6× 31 688
Ilija German Ilić Slovenia 16 541 1.6× 200 1.1× 128 1.0× 109 1.5× 45 0.9× 41 839
Gert Ragnarsson Sweden 17 533 1.6× 87 0.5× 135 1.1× 172 2.3× 75 1.4× 28 834
Y. Pourcelot France 14 376 1.1× 69 0.4× 124 1.0× 74 1.0× 63 1.2× 24 720
Andrew B. Dennis United Kingdom 9 202 0.6× 76 0.4× 179 1.5× 61 0.8× 59 1.1× 11 495
Dejan Djurić Germany 13 384 1.2× 189 1.1× 89 0.7× 57 0.8× 32 0.6× 23 736
Bhagwan D. Rohera United States 15 626 1.9× 124 0.7× 149 1.2× 134 1.8× 73 1.4× 21 869
Christian von Corswant Sweden 15 317 1.0× 48 0.3× 130 1.1× 42 0.6× 61 1.2× 33 776

Countries citing papers authored by G.E. Amidon

Since Specialization
Citations

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

Fields of papers citing papers by G.E. Amidon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.E. Amidon. 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 G.E. Amidon. The network helps show where G.E. Amidon may publish in the future.

Co-authorship network of co-authors of G.E. Amidon

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

All Works

6 of 6 papers shown
1.
González‐Álvarez, Isabel, Marival Bermejo, Yasuhiro Tsume, et al.. (2021). An In Vivo Predictive Dissolution Methodology (iPD Methodology) with a BCS Class IIb Drug Can Predict the In Vivo Bioequivalence Results: Etoricoxib Products. Pharmaceutics. 13(4). 507–507. 12 indexed citations
2.
Mudie, Deanna M., et al.. (2019). Effect of Spray-Dried Particle Morphology on Mechanical and Flow Properties of Felodipine in PVP VA Amorphous Solid Dispersions. Journal of Pharmaceutical Sciences. 108(11). 3657–3666. 36 indexed citations
3.
Al-Gousous, Jozef, Hao Ruan, Niloufar Salehi, et al.. (2019). Mechanistic analysis and experimental verification of bicarbonate-controlled enteric coat dissolution: Potential in vivo implications. European Journal of Pharmaceutics and Biopharmaceutics. 139. 47–58. 32 indexed citations
4.
Tsume, Yasuhiro, et al.. (2014). The Biopharmaceutics Classification System: Subclasses for in vivo predictive dissolution (IPD) methodology and IVIVC. European Journal of Pharmaceutical Sciences. 57. 152–163. 254 indexed citations
5.
Han, Lianghao, James A. Elliott, A.C. Bentham, et al.. (2008). A modified Drucker-Prager Cap model for die compaction simulation of pharmaceutical powders. International Journal of Solids and Structures. 45(10). 3088–3106. 238 indexed citations
6.
Amidon, G.E., et al.. (1981). Predicted absorption rates with simultaneous bulk fluid flow in the intestinal tract. Journal of Theoretical Biology. 89(2). 195–210. 31 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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