Daniel B. Patience

510 total citations
17 papers, 381 citations indexed

About

Daniel B. Patience is a scholar working on Materials Chemistry, Biomedical Engineering and Water Science and Technology. According to data from OpenAlex, Daniel B. Patience has authored 17 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 4 papers in Biomedical Engineering and 3 papers in Water Science and Technology. Recurrent topics in Daniel B. Patience's work include Crystallization and Solubility Studies (9 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and 3D Printing in Biomedical Research (3 papers). Daniel B. Patience is often cited by papers focused on Crystallization and Solubility Studies (9 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and 3D Printing in Biomedical Research (3 papers). Daniel B. Patience collaborates with scholars based in United States, United Kingdom and Jordan. Daniel B. Patience's co-authors include James B. Rawlings, Paul A. Larsen, Philip C. Dell’Orco, Eric L. Haseltine, Hazim A. Mohameed, Joseph Sisko, Manish S. Kelkar, Meenesh R. Singh, Neda Nazemifard and Nandkishor K. Nere and has published in prestigious journals such as Chemical Engineering Science, Lab on a Chip and AIChE Journal.

In The Last Decade

Daniel B. Patience

17 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel B. Patience United States 11 244 61 57 50 45 17 381
Des O’Grady Ireland 6 262 1.1× 71 1.2× 33 0.6× 80 1.6× 24 0.5× 8 392
Nicholas C. S. Kee United States 7 285 1.2× 90 1.5× 37 0.6× 91 1.8× 28 0.6× 8 395
Martin Wijaya Hermanto Singapore 11 258 1.1× 56 0.9× 118 2.1× 80 1.6× 23 0.5× 19 365
Niall A. Mitchell United Kingdom 10 409 1.7× 67 1.1× 45 0.8× 79 1.6× 34 0.8× 18 519
John McGinty United Kingdom 10 191 0.8× 71 1.2× 26 0.5× 41 0.8× 19 0.4× 12 323
Paul Barrett Ireland 8 289 1.2× 93 1.5× 30 0.5× 95 1.9× 41 0.9× 13 475
Aaron Cote United States 10 380 1.6× 123 2.0× 23 0.4× 114 2.3× 41 0.9× 19 543
Paul A. Larsen United States 8 229 0.9× 56 0.9× 55 1.0× 32 0.6× 11 0.2× 11 369
Gerard Capellades United States 13 271 1.1× 119 2.0× 32 0.6× 65 1.3× 45 1.0× 25 382
Martin Krättli Switzerland 7 147 0.6× 85 1.4× 54 0.9× 78 1.6× 12 0.3× 9 356

Countries citing papers authored by Daniel B. Patience

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Patience

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel B. Patience. 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 Daniel B. Patience. The network helps show where Daniel B. Patience may publish in the future.

Co-authorship network of co-authors of Daniel B. Patience

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel B. Patience. A scholar is included among the top collaborators of Daniel B. Patience 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 Daniel B. Patience. Daniel B. Patience 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.
Chauhan, Rohit, Akshay Korde, Manish S. Kelkar, et al.. (2023). Emerging microfluidic platforms for crystallization process development. Process Safety and Environmental Protection. 197. 908–930. 4 indexed citations
2.
Kelkar, Manish S., Akshay Korde, Marianne Langston, et al.. (2023). Snap-on Adaptor for Microtiter Plates to Enable Continuous-Flow Microfluidic Screening and Harvesting of Crystalline Materials. ACS Omega. 8(44). 41502–41511. 2 indexed citations
3.
Patience, Daniel B., et al.. (2022). Simple Methods to Predict Particle Size for Growth-Only Systems Undergoing One or More Temperature Cycles. Organic Process Research & Development. 26(8). 2377–2391. 3 indexed citations
4.
Kelkar, Manish S., Akshay Korde, Marianne Langston, et al.. (2022). On-the-spot quenching for effective implementation of cooling crystallization in a continuous-flow microfluidic device. Reaction Chemistry & Engineering. 7(5). 1179–1190. 8 indexed citations
5.
Prajapati, Aditya, Gaurav Giri, Manish S. Kelkar, et al.. (2022). Patterned microfluidic devices for rapid screening of metal–organic frameworks yield insights into polymorphism and non-monotonic growth. Lab on a Chip. 22(2). 211–224. 15 indexed citations
6.
Kelkar, Manish S., Marianne Langston, Chengxiang Liu, et al.. (2021). Advanced continuous-flow microfluidic device for parallel screening of crystal polymorphs, morphology, and kinetics at controlled supersaturation. Lab on a Chip. 21(12). 2333–2342. 20 indexed citations
7.
Li, Chaomin, Michael Humora, Bin Ma, et al.. (2020). Process Development and Large-Scale Synthesis of BTK Inhibitor BIIB068. Organic Process Research & Development. 24(6). 1199–1206. 4 indexed citations
8.
Andemichael, Yemane W., Jun Chen, Jacalyn S. Clawson, et al.. (2009). Process Development for A Novel Pleuromutilin-Derived Antibiotic. Organic Process Research & Development. 13(4). 729–738. 10 indexed citations
9.
Clawson, Jacalyn S., Frederick G. Vogt, Jeffrey L. Brum, et al.. (2008). Formation and Characterization of Crystals Containing a Pleuromutilin Derivative, Succinic Acid and Water. Crystal Growth & Design. 8(11). 4120–4131. 17 indexed citations
10.
Wang, Huan, et al.. (2007). Development of a Scalable Synthesis of GSK183390A, a PPAR α/γ Agonist. Organic Process Research & Development. 11(6). 1032–1042. 17 indexed citations
11.
Larsen, Paul A., Daniel B. Patience, & James B. Rawlings. (2006). MANIPULATING CRYSTAL SIZE, SHAPE, AND STRUCTURE. 1 indexed citations
12.
Larsen, Paul A., Daniel B. Patience, & James B. Rawlings. (2006). Industrial crystallization process control. IEEE Control Systems. 26(4). 70–80. 84 indexed citations
13.
Haseltine, Eric L., Daniel B. Patience, & James B. Rawlings. (2005). On the stochastic simulation of particulate systems. Chemical Engineering Science. 60(10). 2627–2641. 26 indexed citations
14.
Patience, Daniel B., Philip C. Dell’Orco, & James B. Rawlings. (2004). Optimal Operation of a Seeded Pharmaceutical Crystallization with Growth-Dependent Dispersion. Organic Process Research & Development. 8(4). 609–615. 30 indexed citations
15.
Patience, Daniel B., James B. Rawlings, & Hazim A. Mohameed. (2001). Crystallization of para‐xylene in scraped‐surface crystallizers. AIChE Journal. 47(11). 2441–2451. 24 indexed citations
16.
Patience, Daniel B. & James B. Rawlings. (2001). Particle‐shape monitoring and control in crystallization processes. AIChE Journal. 47(9). 2125–2130. 106 indexed citations
17.
Patience, Daniel B., Richard W. Hartel, & D. Roger Illingworth. (1999). Crystallization and pressure filtration of anhydrous milk fat: Mixing effects. Journal of the American Oil Chemists Society. 76(5). 585–594. 10 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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