J Kukura

646 total citations
10 papers, 488 citations indexed

About

J Kukura is a scholar working on Biomedical Engineering, Fluid Flow and Transfer Processes and Ocean Engineering. According to data from OpenAlex, J Kukura has authored 10 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 4 papers in Fluid Flow and Transfer Processes and 2 papers in Ocean Engineering. Recurrent topics in J Kukura's work include Fluid Dynamics and Mixing (5 papers), Rheology and Fluid Dynamics Studies (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). J Kukura is often cited by papers focused on Fluid Dynamics and Mixing (5 papers), Rheology and Fluid Dynamics Studies (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). J Kukura collaborates with scholars based in United States, Netherlands and Germany. J Kukura's co-authors include Fernando J. Muzzio, Paulo E. Arratia, E. S. Szalai, Zhihong Ge, Jean Wyvratt, G. Bicker, George Zhou, Benjamin D. Sherry, Jonathan P. McMullen and Natalie S. Eyke and has published in prestigious journals such as International Journal of Pharmaceutics, AIChE Journal and Journal of Pharmaceutical Sciences.

In The Last Decade

J Kukura

10 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J Kukura United States	9	198	197	124	112	105	10	488
David J. Lamberto United States	10	339 1.7×	63 0.3×	85 0.7×	56 0.5×	222 2.1×	15	610
Patrick Wahl Austria	15	133 0.7×	131 0.7×	96 0.8×	211 1.9×	87 0.8×	23	571
Mariagrazia Marucci Sweden	14	105 0.5×	248 1.3×	70 0.6×	51 0.5×	62 0.6×	24	517
Juan G. Osorio United States	12	125 0.6×	132 0.7×	100 0.8×	59 0.5×	198 1.9×	14	497
Ilgaz Akseli United States	16	98 0.5×	430 2.2×	54 0.4×	171 1.5×	81 0.8×	29	672
San Kiang United States	15	127 0.6×	170 0.9×	288 2.3×	90 0.8×	168 1.6×	28	718
John W. Mauger United States	15	101 0.5×	271 1.4×	226 1.8×	58 0.5×	35 0.3×	46	573
Christian von Corswant Sweden	15	93 0.5×	317 1.6×	130 1.0×	42 0.4×	112 1.1×	33	776
Gert Ragnarsson Sweden	17	95 0.5×	533 2.7×	135 1.1×	172 1.5×	37 0.4×	28	834
Tuomas Ervasti Finland	17	201 1.0×	184 0.9×	107 0.9×	56 0.5×	73 0.7×	31	586

Countries citing papers authored by J Kukura

Since Specialization

Citations

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

Fields of papers citing papers by J Kukura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Kukura

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

All Works

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10 of 10 papers shown

1.

McMullen, Jonathan P., et al.. (2018). Development and Scale-Up of a Continuous Reaction for Production of an Active Pharmaceutical Ingredient Intermediate. Organic Process Research & Development. 22(9). 1208–1213. 19 indexed citations

2.

Kukura, J, et al.. (2015). Solid–Liquid Suspension in Pilot Plants: Using Engineering Tools to Understand At-Scale Capabilities. Organic Process Research & Development. 19(9). 1128–1137. 1 indexed citations

3.

Arratia, Paulo E., et al.. (2006). Mixing of shear‐thinning fluids with yield stress in stirred tanks. AIChE Journal. 52(7). 2310–2322. 81 indexed citations

4.

Kukura, J, et al.. (2005). Shear-induced variability in the United States pharmacopeia apparatus 2: Modifications to the existing system. The AAPS Journal. 7(4). E857–E864. 27 indexed citations

5.

Kukura, J, et al.. (2005). Hydrodynamics-induced variability in the USP apparatus II dissolution test. International Journal of Pharmaceutics. 292(1-2). 17–28. 100 indexed citations

6.

Kukura, J, et al.. (2004). Shear distribution and variability in the USP Apparatus 2 under turbulent conditions. International Journal of Pharmaceutics. 279(1-2). 9–17. 89 indexed citations

7.

Kukura, J, Paulo E. Arratia, E. S. Szalai, & Fernando J. Muzzio. (2003). Engineering Tools for Understanding the Hydrodynamics of Dissolution Tests. Drug Development and Industrial Pharmacy. 29(2). 231–239. 48 indexed citations

8.

Zhou, George, et al.. (2003). Determination and differentiation of surface and bound water in drug substances by near infrared spectroscopy. Journal of Pharmaceutical Sciences. 92(5). 1058–1065. 83 indexed citations

9.

Szalai, E. S., J Kukura, Paulo E. Arratia, & Fernando J. Muzzio. (2003). Effect of hydrodynamics on reactive mixing in laminar flows. AIChE Journal. 49(1). 168–179. 28 indexed citations

10.

Kukura, J, et al.. (2002). Understanding pharmaceutical flows. 26(10). 48–72. 12 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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