José E. Tábora

1.1k total citations
25 papers, 861 citations indexed

About

José E. Tábora is a scholar working on Materials Chemistry, Biomedical Engineering and Computational Theory and Mathematics. According to data from OpenAlex, José E. Tábora has authored 25 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Materials Chemistry, 8 papers in Biomedical Engineering and 6 papers in Computational Theory and Mathematics. Recurrent topics in José E. Tábora's work include Crystallization and Solubility Studies (9 papers), Computational Drug Discovery Methods (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (5 papers). José E. Tábora is often cited by papers focused on Crystallization and Solubility Studies (9 papers), Computational Drug Discovery Methods (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (5 papers). José E. Tábora collaborates with scholars based in United States, France and Germany. José E. Tábora's co-authors include Robert J. Davis, Zhongfan Liu, Jun Li, Abigail G. Doyle, Jason M. Stevens, Hsien‐Hsin Tung, Alina Borovika, Ryan P. Adams, José Antonio Garrido Torres and Chau‐Chyun Chen and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Journal of Catalysis.

In The Last Decade

José E. Tábora

25 papers receiving 824 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José E. Tábora United States 15 499 254 195 195 108 25 861
Laurent A. Baumes Spain 20 844 1.7× 443 1.7× 311 1.6× 133 0.7× 120 1.1× 35 1.3k
Shailendra Bordawekar United States 16 423 0.8× 235 0.9× 114 0.6× 217 1.1× 225 2.1× 31 884
Terry Z. H. Gani United States 16 805 1.6× 226 0.9× 321 1.6× 122 0.6× 60 0.6× 20 1.1k
Jeremy Henle United States 11 431 0.9× 176 0.7× 89 0.5× 128 0.7× 251 2.3× 14 796
Andrew F. Zahrt United States 13 598 1.2× 273 1.1× 117 0.6× 210 1.1× 481 4.5× 18 1.3k
Christoph Kubis Germany 19 210 0.4× 326 1.3× 177 0.9× 123 0.6× 410 3.8× 56 947
William T. Darrow United States 5 361 0.7× 119 0.5× 75 0.4× 91 0.5× 131 1.2× 6 578
Geoffrey R. Akien United Kingdom 18 394 0.8× 192 0.8× 204 1.0× 991 5.1× 366 3.4× 44 1.6k
Marcel Liauw Germany 21 494 1.0× 169 0.7× 398 2.0× 643 3.3× 256 2.4× 80 1.5k

Countries citing papers authored by José E. Tábora

Since Specialization
Citations

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

Fields of papers citing papers by José E. Tábora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José E. Tábora

This figure shows the co-authorship network connecting the top 25 collaborators of José E. Tábora. A scholar is included among the top collaborators of José E. Tábora 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 José E. Tábora. José E. Tábora 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.
Chang, Hochan, et al.. (2024). Bayesian data-driven models for pharmaceutical process development. Current Opinion in Chemical Engineering. 45. 101034–101034. 3 indexed citations
2.
Stevens, Jason M., Stavros K. Kariofillis, Dung L. Golden, et al.. (2024). Identifying general reaction conditions by bandit optimization. Nature. 626(8001). 1025–1033. 41 indexed citations
3.
Rogers, Amanda, et al.. (2024). Use of Bayesian Modeling for Risk Assessment and Robustness Evaluation. Organic Process Research & Development. 28(2). 511–523. 3 indexed citations
4.
Torres, José Antonio Garrido, Sii Hong Lau, Jason M. Stevens, et al.. (2022). A Multi-Objective Active Learning Platform and Web App for Reaction Optimization. Journal of the American Chemical Society. 144(43). 19999–20007. 128 indexed citations
5.
Sezen-Edmonds, Melda, José E. Tábora, Serge Zaretsky, et al.. (2020). Predicting Performance of Photochemical Transformations for Scaling Up in Different Platforms by Combining High-Throughput Experimentation with Computational Modeling. Organic Process Research & Development. 24(10). 2128–2138. 26 indexed citations
6.
Cruz, Thomas E. La, Thiago C. Carvalho, Antonio Ramı́rez, & José E. Tábora. (2019). Implementation of a mathematical model for the photochemical kinetics of a solid form active pharmaceutical ingredient. International Journal of Pharmaceutics. 566. 500–512. 3 indexed citations
7.
Tábora, José E., et al.. (2019). Bayesian probabilistic modeling in pharmaceutical process development. AIChE Journal. 65(11). 16 indexed citations
8.
Carvalho, Thiago C., Thomas E. La Cruz, & José E. Tábora. (2017). A photochemical kinetic model for solid dosage forms. European Journal of Pharmaceutics and Biopharmaceutics. 120. 63–72. 4 indexed citations
9.
Lyngberg, Olav, et al.. (2012). Modeling-Based Approach Towards Quality by Design for the Ibipinabant API Step. Organic Process Research & Development. 16(4). 567–576. 18 indexed citations
10.
Murugesan, Saravanababu, et al.. (2011). Lean Filtration: Approaches for the Estimation of Cake Properties. Organic Process Research & Development. 16(1). 42–48. 8 indexed citations
11.
Hallow, Daniel M., Boguslaw Mudryk, Alan Braem, et al.. (2010). An Example of Utilizing Mechanistic and Empirical Modeling in Quality by Design. Journal of Pharmaceutical Innovation. 5(4). 193–203. 29 indexed citations
12.
Tung, Hsien‐Hsin, et al.. (2007). Prediction of Pharmaceutical Solubility Via NRTL-SAC and COSMO-SAC. Journal of Pharmaceutical Sciences. 97(5). 1813–1820. 72 indexed citations
13.
Tábora, José E., et al.. (2007). Identification and characterization of an anomalous racemate. Fluid Phase Equilibria. 258(2). 140–147. 12 indexed citations
14.
Zhou, George, Louis S. Crocker, Jing Xu, José E. Tábora, & Zhihong Ge. (2006). In-line Measurement of a Drug Substance via Near Infrared Spectroscopy to Ensure a Robust Crystallization Process. Journal of Pharmaceutical Sciences. 95(11). 2337–2347. 20 indexed citations
15.
Singh, Utpal, et al.. (2005). Incorporation and Characterization of a Mixing Elbow on the Pilot Plant Scale for a Mixing Sensitive Crystallization of an API. Industrial & Engineering Chemistry Research. 44(11). 4068–4074. 2 indexed citations
16.
Tábora, José E. & Robert J. Davis. (1996). On the Superacidity of Sulfated Zirconia Catalysts for Low-Temperature Isomerization of Butane. Journal of the American Chemical Society. 118(48). 12240–12241. 57 indexed citations
17.
Tábora, José E. & Robert J. Davis. (1996). The Role of Transition Metal Promoters on Sulfated Zirconia Catalysts for Low-Temperature Butane Isomerization. Journal of Catalysis. 162(1). 125–133. 72 indexed citations
18.
Tábora, José E. & Robert J. Davis. (1995). Structure of Fe, Mn-promoted sulfated zirconia catalyst by X-ray and IR absorption spectroscopies. Journal of the Chemical Society Faraday Transactions. 91(12). 1825–1833. 54 indexed citations
19.
Liu, Zhongfan, José E. Tábora, & Robert J. Davis. (1994). Relationships between Microstructure and Surface Acidity of Ti-Si Mixed Oxide Catalysts. Journal of Catalysis. 149(1). 117–126. 139 indexed citations
20.
Hudson, John L., José E. Tábora, Katharina Krischer, & I.G. Kevrekidis. (1993). Spatiotemporal period doubling during the electrodissolution of iron. Physics Letters A. 179(4-5). 355–363. 46 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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