Jeffrey Y. Pan

486 total citations
24 papers, 346 citations indexed

About

Jeffrey Y. Pan is a scholar working on Biomedical Engineering, Molecular Biology and Spectroscopy. According to data from OpenAlex, Jeffrey Y. Pan has authored 24 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 8 papers in Molecular Biology and 5 papers in Spectroscopy. Recurrent topics in Jeffrey Y. Pan's work include Innovative Microfluidic and Catalytic Techniques Innovation (6 papers), Analytical Chemistry and Chromatography (4 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). Jeffrey Y. Pan is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (6 papers), Analytical Chemistry and Chromatography (4 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). Jeffrey Y. Pan collaborates with scholars based in United States, United Kingdom and Switzerland. Jeffrey Y. Pan's co-authors include S.D. Senturia, Pinyen Lin, Stevan W. Djurić, Philip A. Searle, Jill E. Hochlowski, Noah P. Tu, Stephen G. Spanton, Hannes F. Koolman, Ying Wang and Andrew R. Bogdan and has published in prestigious journals such as Analytical Chemistry, Proceedings of the IEEE and Nanoscale.

In The Last Decade

Jeffrey Y. Pan

22 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey Y. Pan United States 11 166 111 85 45 44 24 346
E. Polygalov United Kingdom 8 171 1.0× 60 0.5× 119 1.4× 17 0.4× 23 0.5× 16 379
Matthew Lindley United States 11 132 0.8× 66 0.6× 45 0.5× 14 0.3× 38 0.9× 27 368
Michiko Seyama Japan 13 294 1.8× 43 0.4× 155 1.8× 9 0.2× 27 0.6× 52 428
Mark A. Polizzi United States 12 87 0.5× 108 1.0× 34 0.4× 19 0.4× 84 1.9× 15 537
Torbjörn G.I. Ling Sweden 12 131 0.8× 142 1.3× 81 1.0× 28 0.6× 60 1.4× 20 335
Elisabeth K. Hill Australia 8 83 0.5× 112 1.0× 31 0.4× 61 1.4× 18 0.4× 10 353
C. McLoughlin Ireland 12 57 0.3× 71 0.6× 64 0.8× 82 1.8× 17 0.4× 22 500
А. П. Смирнова Japan 12 254 1.5× 19 0.2× 65 0.8× 30 0.7× 46 1.0× 30 377
Kevin L. Davis United States 11 161 1.0× 59 0.5× 56 0.7× 9 0.2× 31 0.7× 15 342
Xiaoqing Yang China 11 68 0.4× 42 0.4× 57 0.7× 84 1.9× 27 0.6× 50 358

Countries citing papers authored by Jeffrey Y. Pan

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Y. Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey Y. Pan. 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 Jeffrey Y. Pan. The network helps show where Jeffrey Y. Pan may publish in the future.

Co-authorship network of co-authors of Jeffrey Y. Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Y. Pan. A scholar is included among the top collaborators of Jeffrey Y. Pan 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 Jeffrey Y. Pan. Jeffrey Y. Pan 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.
Sharma, Preetam K., Liya Wei, Jeffrey Y. Pan, et al.. (2025). Nanoparticles alter locust development and behaviour. Nanoscale. 17(13). 7844–7855.
2.
Pu, Fan, Jon D. Williams, Nathaniel L. Elsen, et al.. (2024). Collaborative robotics to enable ultra-high-throughput IR-MALDESI. SLAS TECHNOLOGY. 29(4). 100163–100163.
3.
Yang, Zhijian, et al.. (2024). Axial compressive behavior of high-strength spiral-confined high-strength concrete-filled high-strength square steel-tube columns. Journal of Constructional Steel Research. 226. 109285–109285. 2 indexed citations
4.
Radosevich, Andrew J., et al.. (2023). In-vitro modeling of intravenous drug precipitation by the optical spatial precipitation analyzer (OSPREY). International Journal of Pharmaceutics. 636. 122842–122842. 1 indexed citations
5.
Radosevich, Andrew J., Fan Pu, James W. Sawicki, et al.. (2022). Ultra-High-Throughput Ambient MS: Direct Analysis at 22 Samples per Second by Infrared Matrix-Assisted Laser Desorption Electrospray Ionization Mass Spectrometry. Analytical Chemistry. 94(12). 4913–4918. 26 indexed citations
6.
Pan, Jeffrey Y., et al.. (2020). An Automated Tube Labeler for High-Throughput Purification Laboratories. SLAS TECHNOLOGY. 26(1). 113–116. 3 indexed citations
7.
Friedman, Lawrence S., Amy M. Sitapati, Franklin Gaylis, et al.. (2020). A Path to Clinical Quality Integration Through a Clinically Integrated Network: The Experience of an Academic Health System and Its Community Affiliates. The Joint Commission Journal on Quality and Patient Safety. 47(1). 31–37. 2 indexed citations
8.
Pan, Jeffrey Y.. (2019). Engineering Chemistry Innovation. ACS Medicinal Chemistry Letters. 10(5). 703–707. 9 indexed citations
9.
Pan, Jeffrey Y., et al.. (2014). C-Jun N-terminal kinase (JNK) isoforms play differing roles in otitis media. BMC Immunology. 15(1). 46–46. 14 indexed citations
10.
Tu, Noah P., et al.. (2013). An Automated Synthesis–Purification–Sample-Management Platform for the Accelerated Generation of Pharmaceutical Candidates. SLAS TECHNOLOGY. 19(2). 176–182. 23 indexed citations
11.
Hochlowski, Jill E., Philip A. Searle, Noah P. Tu, et al.. (2011). An Integrated Synthesis-Purification System to Accelerate the Generation of Compounds in Pharmaceutical Discovery. Journal of Flow Chemistry. 1(2). 56–61. 29 indexed citations
12.
Hochlowski, Jill E., Jeffrey Y. Pan, Philip A. Searle, Wayne R. Buck, & Stephen G. Spanton. (2009). Purification of drugs from biological fluids by counter-current chromatography. Journal of Chromatography A. 1216(34). 6162–6169. 5 indexed citations
13.
Wagenaar, Frank L., Jill E. Hochlowski, Jeffrey Y. Pan, Noah P. Tu, & Philip A. Searle. (2008). Purification of high-throughput organic synthesis libraries by counter-current chromatography. Journal of Chromatography A. 1216(19). 4154–4160. 18 indexed citations
14.
Clapham, Bruce, et al.. (2007). Construction and Validation of an Automated Flow Hydrogenation Instrument for Application in High-Throughput Organic Chemistry. Journal of Combinatorial Chemistry. 10(1). 88–93. 20 indexed citations
15.
Wang, Xiaojun, et al.. (2004). A Self-Contained 48-Well Fatty Acid Oxidation Assay. Assay and Drug Development Technologies. 2(1). 63–69. 5 indexed citations
16.
McKenna, David G., Wende Niforatos, Jeffrey Y. Pan, et al.. (2003). High Throughput Electrophysiology Using a Fully Automated, Multiplexed Recording System. 9(1). 19–28. 7 indexed citations
17.
Pan, Jeffrey Y., et al.. (2002). Latched valve manifolds for efficient control of pneumatically actuated valve arrays. 2. 817–820. 6 indexed citations
18.
Pan, Jeffrey Y., et al.. (2000). A fully automated liquid–liquid extraction system utilizing interface detection. Journal of Analytical Methods in Chemistry. 22(6). 187–194. 12 indexed citations
19.
Pan, Jeffrey Y., et al.. (1992). Optical waveguiding as a method for characterizing the effect of extended cure and moisture on polyimide films. Polymer Engineering and Science. 32(15). 1015–1020. 10 indexed citations
20.
Senturia, S.D., et al.. (1991). Physical Characterization Of Microelectronic Polymeric Thin Films. MRS Proceedings. 227. 3 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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