Ryan D. Sochol

802 total citations
48 papers, 634 citations indexed

About

Ryan D. Sochol is a scholar working on Biomedical Engineering, Automotive Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ryan D. Sochol has authored 48 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Biomedical Engineering, 9 papers in Automotive Engineering and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Ryan D. Sochol's work include 3D Printing in Biomedical Research (20 papers), Innovative Microfluidic and Catalytic Techniques Innovation (11 papers) and Microfluidic and Capillary Electrophoresis Applications (10 papers). Ryan D. Sochol is often cited by papers focused on 3D Printing in Biomedical Research (20 papers), Innovative Microfluidic and Catalytic Techniques Innovation (11 papers) and Microfluidic and Capillary Electrophoresis Applications (10 papers). Ryan D. Sochol collaborates with scholars based in United States, Russia and Kuwait. Ryan D. Sochol's co-authors include Abdullah T. Alsharhan, Andrew Lamont, Michael Restaino, Roseanne Warren, Kejin Wang, Joseph V. Bonventre, Navin Gupta, David I. Bigio, Xin Xu and Axel Krieger and has published in prestigious journals such as Biomaterials, Analytical Chemistry and Science Advances.

In The Last Decade

Ryan D. Sochol

43 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan D. Sochol United States	13	520	123	106	81	65	48	634
Henry Oliver T. Ware United States	13	429 0.8×	317 2.6×	137 1.3×	44 0.5×	70 1.1×	24	673
Juan Cui China	15	397 0.8×	49 0.4×	139 1.3×	65 0.8×	117 1.8×	40	524
Andrews Souza Portugal	8	533 1.0×	59 0.5×	94 0.9×	11 0.1×	135 2.1×	17	860
Samuel M. Hart United States	11	242 0.5×	126 1.0×	110 1.0×	14 0.2×	19 0.3×	14	484
Ryan M. Nixon United States	5	483 0.9×	295 2.4×	117 1.1×	15 0.2×	19 0.3×	13	722
Ghazaleh Haghiashtiani United States	7	484 0.9×	193 1.6×	76 0.7×	25 0.3×	27 0.4×	12	573
Ryan D. Sochol United States	12	834 1.6×	155 1.3×	76 0.7×	33 0.4×	227 3.5×	41	948
Prajwal Agrawal India	10	322 0.6×	133 1.1×	72 0.7×	22 0.3×	63 1.0×	15	513
Terry Ching Singapore	16	777 1.5×	334 2.7×	106 1.0×	19 0.2×	130 2.0×	27	988
Mujun Li China	15	451 0.9×	87 0.7×	220 2.1×	58 0.7×	152 2.3×	62	717

Countries citing papers authored by Ryan D. Sochol

Since Specialization

Citations

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

Fields of papers citing papers by Ryan D. Sochol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan D. Sochol. 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 Ryan D. Sochol. The network helps show where Ryan D. Sochol may publish in the future.

Co-authorship network of co-authors of Ryan D. Sochol

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

All Works

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20 of 20 papers shown

Lamont, Andrew, et al.. (2025). 3D nanoprinting of embryo microinjection needles with anti-clogging features. Microsystems & Nanoengineering. 11(1). 171–171. 2 indexed citations

Müller, L., et al.. (2025). Geometric determinants of sinterless, low-temperature-processed 3D-nanoprinted glass. Microsystems & Nanoengineering. 11(1). 145–145.

Chowdhury, Amartya, et al.. (2025). 3D nanoprinting of PDMS microvessels with tailored tortuosity and microporosity via direct laser writing. Lab on a Chip. 25(8). 1947–1958. 3 indexed citations

Xu, Xin, et al.. (2025). 3d-Microprinted Microfluidic Scaffolds and the Rapid Seeding Strategy for Organ-on-a-Chip Applications. 224–227.

Agrawal, Anant, et al.. (2025). 3D-printed phantoms for measuring lateral resolution and contrast performance of ophthalmic adaptive optics imaging systems. Biomedical Optics Express. 16(7). 2692–2692.

Fuge, Mark, et al.. (2024). A 3D-Microprinted Coaxial Nozzle for Fabricating Long, Flexible Microfluidic Tubing. PubMed. 2024. 1174–1177. 1 indexed citations

Fuge, Mark, et al.. (2024). Fabrication of Multilumen Microfluidic Tubing for Ex Situ Direct Laser Writing. PubMed. 2024. 1158–1161. 2 indexed citations

Xu, Xin, et al.. (2024). 3D-Microprinted PDMS-Based Microfluidic Vessels for Organ-on-a-Chip Applications. 221–224. 4 indexed citations

Barnes, N., Mirosław Janowski, Dheeraj Gandhi, et al.. (2023). Toward a novel soft robotic system for minimally invasive interventions. International Journal of Computer Assisted Radiology and Surgery. 18(9). 1547–1557. 11 indexed citations

10.

Smith, Gabriel L., et al.. (2023). 3D‐Printed Multi‐scale Fluidics for Liquid Metals. Advanced Materials Technologies. 9(14). 6 indexed citations

11.

Xu, Xin, Peter Kofinas, Eleonora Tubaldi, et al.. (2023). 3D‐Printed Microinjection Needle Arrays via a Hybrid DLP‐Direct Laser Writing Strategy (Adv. Mater. Technol. 5/2023). Advanced Materials Technologies. 8(5). 1 indexed citations

12.

Xu, Xin, William E. Bentley, Mark Fuge, et al.. (2022). 3D MICROPRINTING OF MULTI-ACTUATOR SOFT ROBOTS ONTO 3D-PRINTED MICROFLUIDIC DEVICES VIA EX SITU DIRECT LASER WRITING. 332–335. 7 indexed citations

13.

Xu, Xin, et al.. (2022). A HYBRID 3D MICRO-NANOPRINTING APPROACH FOR BIOMEDICAL MICROINJECTION NEEDLE ARRAYS. 27–30. 2 indexed citations

14.

Ghoreishi, Seyede Fatemeh, Ryan D. Sochol, Dheeraj Gandhi, Axel Krieger, & Mark Fuge. (2022). Physics-Informed Modeling and Control of Multi-Actuator Soft Catheter Robots. Frontiers in Robotics and AI. 8. 772628–772628. 4 indexed citations

15.

Alsharhan, Abdullah T., et al.. (2021). Fully 3D-printed soft robots with integrated fluidic circuitry. Science Advances. 7(29). 122 indexed citations

16.

Ghoreishi, Seyede Fatemeh, Ryan D. Sochol, Dheeraj Gandhi, Axel Krieger, & Mark Fuge. (2021). Bayesian Optimization for Design of Multi-Actuator Soft Catheter Robots. IEEE Transactions on Medical Robotics and Bionics. 3(3). 725–737. 12 indexed citations

17.

Alsharhan, Abdullah T., et al.. (2021). Integrated 3D printed microfluidic circuitry and soft microrobotic actuators via in situ direct laser writing. Journal of Micromechanics and Microengineering. 31(4). 44001–44001. 28 indexed citations

18.

Lamont, Andrew, et al.. (2020). Additive Assembly for PolyJet-Based Multi-Material 3D Printed Microfluidics. Journal of Microelectromechanical Systems. 29(5). 1094–1096. 27 indexed citations

19.

Agrawal, Anant, et al.. (2018). 3D printed phantoms of retinal photoreceptor cells for evaluating adaptive optics imaging modalities. 8215. 12–12. 1 indexed citations

20.

Sochol, Ryan D., Navin Gupta, & Joseph V. Bonventre. (2016). A Role for 3D Printing in Kidney-on-a-Chip Platforms. Current Transplantation Reports. 3(1). 82–92. 36 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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