Jai A. Pathak

1.9k total citations
32 papers, 1.6k citations indexed

About

Jai A. Pathak is a scholar working on Fluid Flow and Transfer Processes, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Jai A. Pathak has authored 32 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Fluid Flow and Transfer Processes, 13 papers in Molecular Biology and 13 papers in Biomedical Engineering. Recurrent topics in Jai A. Pathak's work include Rheology and Fluid Dynamics Studies (15 papers), Protein purification and stability (11 papers) and Polymer crystallization and properties (9 papers). Jai A. Pathak is often cited by papers focused on Rheology and Fluid Dynamics Studies (15 papers), Protein purification and stability (11 papers) and Polymer crystallization and properties (9 papers). Jai A. Pathak collaborates with scholars based in United States, United Kingdom and Greece. Jai A. Pathak's co-authors include Ralph H. Colby, Prasad Sarangapani, Steven D. Hudson, Kalman B. Migler, Christopher J. Roberts, Samiul Amin, Gregory V. Barnett, George Floudas, Maria Monica Castellanos and Sanat K. Kumar and has published in prestigious journals such as Physical Review Letters, The Journal of Physical Chemistry B and Macromolecules.

In The Last Decade

Jai A. Pathak

32 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jai A. Pathak United States 23 564 491 479 427 383 32 1.6k
Jean‐François Palierne France 19 447 0.8× 427 0.9× 115 0.2× 843 2.0× 1.3k 3.3× 43 2.4k
David C. Venerus United States 28 596 1.1× 649 1.3× 76 0.2× 1.1k 2.6× 1.0k 2.6× 101 2.3k
Aditya Jaishankar United States 15 193 0.3× 253 0.5× 104 0.2× 286 0.7× 114 0.3× 20 1.2k
Patrick T. Underhill United States 16 335 0.6× 584 1.2× 100 0.2× 148 0.3× 142 0.4× 40 1.3k
Masao Doi Japan 14 364 0.6× 349 0.7× 80 0.2× 281 0.7× 218 0.6× 48 1.4k
Carlos G. Lopez Germany 22 407 0.7× 435 0.9× 87 0.2× 182 0.4× 124 0.3× 58 1.4k
Douglas Adolf United States 21 671 1.2× 377 0.8× 53 0.1× 423 1.0× 650 1.7× 50 2.0k
Masayuki Tokita Japan 20 188 0.3× 288 0.6× 104 0.2× 54 0.1× 77 0.2× 62 1.2k
Jörg Läuger Germany 18 410 0.7× 281 0.6× 98 0.2× 308 0.7× 149 0.4× 37 1.3k
Viviane Lutz‐Bueno Switzerland 18 192 0.3× 198 0.4× 148 0.3× 79 0.2× 47 0.1× 58 980

Countries citing papers authored by Jai A. Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Jai A. Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jai A. Pathak. 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 Jai A. Pathak. The network helps show where Jai A. Pathak may publish in the future.

Co-authorship network of co-authors of Jai A. Pathak

This figure shows the co-authorship network connecting the top 25 collaborators of Jai A. Pathak. A scholar is included among the top collaborators of Jai A. Pathak 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 Jai A. Pathak. Jai A. Pathak 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.
Sarangapani, Prasad, Arun Parupudi, Tabot M. D. Besong, et al.. (2016). Both Reversible Self-Association and Structural Changes Underpin Molecular Viscoelasticity of mAb Solutions. Journal of Pharmaceutical Sciences. 105(12). 3496–3506. 22 indexed citations
2.
Pathak, Jai A., et al.. (2016). Interfacial dilatational deformation accelerates particle formation in monoclonal antibody solutions. Soft Matter. 12(14). 3293–3302. 61 indexed citations
3.
Sarangapani, Prasad, Steven D. Hudson, Ronald L. Jones, Jack F. Douglas, & Jai A. Pathak. (2015). Critical Examination of the Colloidal Particle Model of Globular Proteins. Biophysical Journal. 108(3). 724–737. 66 indexed citations
4.
Sarangapani, Prasad, Ronald L. Jones, Steven D. Hudson, & Jai A. Pathak. (2014). The pH and Concentration Dependence of Protein-Protein Interactions, Conformation, and Viscosity in Crowded Protein Solutions. Biophysical Journal. 106(2). 665a–666a. 2 indexed citations
5.
Castellanos, Maria Monica, Jai A. Pathak, W. Marshall Leach, Steven M. Bishop, & Ralph H. Colby. (2014). Explaining the Non-Newtonian Character of Aggregating Monoclonal Antibody Solutions Using Small-Angle Neutron Scattering. Biophysical Journal. 107(2). 469–476. 35 indexed citations
6.
Hudson, Steven D., Prasad Sarangapani, Jai A. Pathak, & Kalman B. Migler. (2014). A Microliter Capillary Rheometer for Characterization of Protein Solutions. Journal of Pharmaceutical Sciences. 104(2). 678–685. 41 indexed citations
7.
Sarangapani, Prasad, Steven D. Hudson, Kalman B. Migler, & Jai A. Pathak. (2013). The Limitations of an Exclusively Colloidal View of Protein Solution Hydrodynamics and Rheology. Biophysical Journal. 105(10). 2418–2426. 49 indexed citations
8.
Pathak, Jai A., et al.. (2013). Do Clustering Monoclonal Antibody Solutions Really Have a Concentration Dependence of Viscosity?. Biophysical Journal. 104(4). 913–923. 44 indexed citations
9.
Castellanos, Maria Monica, Jai A. Pathak, & Ralph H. Colby. (2013). Both protein adsorption and aggregation contribute to shear yielding and viscosity increase in protein solutions. Soft Matter. 10(1). 122–131. 76 indexed citations
10.
Uneyama, Takashi, Yuichi Masubuchi, Yumi Matsumiya, et al.. (2009). A theoretical analysis of rheodielectric response of type‐A polymer chains. Journal of Polymer Science Part B Polymer Physics. 47(11). 1039–1057. 15 indexed citations
11.
Phelan, Frederick R., et al.. (2008). Chaotic mixing in microfluidic devices driven by oscillatory cross flow. Physics of Fluids. 20(2). 33 indexed citations
12.
Mott, P., et al.. (2007). High-speed tensile test instrument. Review of Scientific Instruments. 78(4). 45105–45105. 15 indexed citations
13.
Pathak, Jai A. & Steven D. Hudson. (2006). Rheo-optics of Equilibrium Polymer Solutions:  Wormlike Micelles in Elongational Flow in a Microfluidic Cross-Slot. Macromolecules. 39(25). 8782–8792. 77 indexed citations
14.
Lin‐Gibson, Sheng, Jai A. Pathak, Eric A. Grulke, H. Wang, & Erik K. Hobbie. (2004). Elastic Flow Instability in Nanotube Suspensions. Physical Review Letters. 92(4). 48302–48302. 142 indexed citations
15.
Hobbie, E. K., et al.. (2004). Ubiquity of domain patterns in sheared viscoelastic fluids. Physical Review E. 69(6). 61503–61503. 22 indexed citations
16.
Pathak, Jai A., David Ross, & Kalman B. Migler. (2004). Elastic flow instability, curved streamlines, and mixing in microfluidic flows. Physics of Fluids. 16(11). 4028–4034. 79 indexed citations
17.
Pathak, Jai A.. (2002). Layered Droplet Microstructures in Sheared Emulsions: Finite-Size Effects. Journal of Colloid and Interface Science. 255(2). 391–402. 47 indexed citations
18.
Pathak, Jai A.. (2001). Miscible polymer blend dynamics. PhDT. 3 indexed citations
19.
Pathak, Jai A. & M. van Gurp. (2000). Rheology of a miscible blend of SAN and SMA. Journal of Applied Polymer Science. 78(6). 1245–1249. 4 indexed citations
20.
Pathak, Jai A., Ralph H. Colby, Sudesh Kamath, Sanat K. Kumar, & Reimund Stadler. (1998). Rheology of Miscible Blends:  SAN and PMMA. Macromolecules. 31(25). 8988–8997. 83 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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