Jinglei Ping

1.2k total citations
25 papers, 1.0k citations indexed

About

Jinglei Ping is a scholar working on Materials Chemistry, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Jinglei Ping has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 13 papers in Biomedical Engineering and 12 papers in Molecular Biology. Recurrent topics in Jinglei Ping's work include Graphene research and applications (13 papers), Advanced biosensing and bioanalysis techniques (11 papers) and 2D Materials and Applications (7 papers). Jinglei Ping is often cited by papers focused on Graphene research and applications (13 papers), Advanced biosensing and bioanalysis techniques (11 papers) and 2D Materials and Applications (7 papers). Jinglei Ping collaborates with scholars based in United States, China and South Korea. Jinglei Ping's co-authors include A. T. Charlie Johnson, Carl H. Naylor, Zhaoli Gao, Nicholas Kybert, Young Hee Lee, Si Young Lee, Ritesh Agarwal, Gang Han, Jisoo Kang and Andrew M. Rappe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Jinglei Ping

24 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinglei Ping United States 12 723 406 354 313 92 25 1.0k
Seunghun Hong South Korea 13 527 0.7× 478 1.2× 270 0.8× 98 0.3× 40 0.4× 18 818
Pavel Ivanoff Reyes United States 17 401 0.6× 550 1.4× 296 0.8× 130 0.4× 104 1.1× 40 866
Yusuke Yamashiro Japan 4 474 0.7× 485 1.2× 322 0.9× 228 0.7× 52 0.6× 7 790
Moh. R. Amer United States 13 429 0.6× 434 1.1× 343 1.0× 75 0.2× 65 0.7× 35 796
Heekyeong Park South Korea 15 550 0.8× 403 1.0× 335 0.9× 278 0.9× 19 0.2× 22 876
Vahid Faramarzi Iran 11 252 0.3× 209 0.5× 439 1.2× 333 1.1× 41 0.4× 25 706
Byoung-Kye Kim South Korea 8 383 0.5× 337 0.8× 367 1.0× 283 0.9× 82 0.9× 9 776
Marco Curreli United States 7 352 0.5× 538 1.3× 665 1.9× 360 1.2× 99 1.1× 8 1.1k
Joonhyung Lee South Korea 12 268 0.4× 310 0.8× 452 1.3× 327 1.0× 41 0.4× 15 788
Chengye Dong United States 12 377 0.5× 270 0.7× 198 0.6× 130 0.4× 105 1.1× 44 648

Countries citing papers authored by Jinglei Ping

Since Specialization
Citations

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

Fields of papers citing papers by Jinglei Ping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinglei Ping

This figure shows the co-authorship network connecting the top 25 collaborators of Jinglei Ping. A scholar is included among the top collaborators of Jinglei Ping 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 Jinglei Ping. Jinglei Ping 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.
Fan, Xiao, Xiaoyu Zhang, Xin Zhang, et al.. (2024). High-precision micro-total analysis of sodium ions in breast milk. Sensors and Actuators B Chemical. 422. 136652–136652. 1 indexed citations
2.
Zhang, Xin Hai, et al.. (2024). Spatiotemporal Cell Control via High-Precision Electronic Regulation of Microenvironmental pH. Nano Letters. 24(49). 15645–15651.
3.
Zhang, Xin Hai, et al.. (2024). Neural network–enabled, all-electronic control of non-Newtonian fluid flow. Applied Physics Letters. 125(16). 164105–164105. 1 indexed citations
4.
Zhang, Xin Hai, et al.. (2024). On-chip microscale isoelectric focusing enhances protein detection limit. Applied Physics Letters. 124(10). 103701–103701. 1 indexed citations
5.
Ping, Jinglei, et al.. (2023). Nanomechanoelectrical approach to highly sensitive and specific label-free DNA detection. Proceedings of the National Academy of Sciences. 120(33). e2306130120–e2306130120. 1 indexed citations
6.
Ping, Jinglei, et al.. (2022). Electrical contactless microfluidic flow quantification. Applied Physics Letters. 120(4). 2 indexed citations
7.
Zhang, Xiaoyu, et al.. (2022). Graphene-Enabled High-Performance Electrokinetic Focusing and Sensing. ACS Nano. 16(7). 10852–10858. 3 indexed citations
8.
Ping, Jinglei, et al.. (2021). Flow-sensory contact electrification of graphene. Nature Communications. 12(1). 1755–1755. 11 indexed citations
9.
Ping, Jinglei & A. T. Charlie Johnson. (2019). Scalable Arrays of Chemical Vapor Sensors Based on DNA-Decorated Graphene. Methods in molecular biology. 2027. 163–170. 1 indexed citations
10.
Jin, Xi, Jie Xiao, Jose Manuel Perez‐Aguilar, et al.. (2019). Characterization of an engineered water-soluble variant of the full-length human mu opioid receptor. Journal of Biomolecular Structure and Dynamics. 38(14). 4364–4370. 5 indexed citations
11.
Hwang, Michael Taeyoung, Zejun Wang, Jinglei Ping, et al.. (2018). DNA Nanotweezers and Graphene Transistor Enable Label‐Free Genotyping. Advanced Materials. 30(34). e1802440–e1802440. 86 indexed citations
12.
Gao, Zhaoli, Han Xia, Maurizio Tomaiuolo, et al.. (2018). Detection of Sub-fM DNA with Target Recycling and Self-Assembly Amplification on Graphene Field-Effect Biosensors. Nano Letters. 18(6). 3509–3515. 86 indexed citations
13.
Ping, Jinglei, et al.. (2018). All-Electronic Quantification of Neuropeptide–Receptor Interaction Using a Bias-Free Functionalized Graphene Microelectrode. ACS Nano. 12(5). 4218–4223. 12 indexed citations
14.
Gao, Zhaoli, Qicheng Zhang, Carl H. Naylor, et al.. (2018). Crystalline Bilayer Graphene with Preferential Stacking from Ni–Cu Gradient Alloy. ACS Nano. 12(3). 2275–2282. 45 indexed citations
15.
16.
Gao, Zhaoli, Carl H. Naylor, Frank Streller, et al.. (2016). Scalable Production of Sensor Arrays Based on High-Mobility Hybrid Graphene Field Effect Transistors. ACS Applied Materials & Interfaces. 8(41). 27546–27552. 50 indexed citations
17.
Naylor, Carl H., William M. Parkin, Jinglei Ping, et al.. (2016). Monolayer Single-Crystal 1T′-MoTe2 Grown by Chemical Vapor Deposition Exhibits Weak Antilocalization Effect. Nano Letters. 16(7). 4297–4304. 196 indexed citations
18.
Naylor, Carl H., et al.. (2015). Seeded Growth of Highly Crystalline Molybdenum Disulphide Monolayers at Controlled Locations. Bulletin of the American Physical Society. 2015. 2 indexed citations
19.
Han, Gang, Nicholas Kybert, Carl H. Naylor, et al.. (2015). Seeded growth of highly crystalline molybdenum disulphide monolayers at controlled locations. Nature Communications. 6(1). 6128–6128. 271 indexed citations
20.
Ping, Jinglei, Xi Jin, Jeffery G. Saven, Renyu Liu, & A. T. Charlie Johnson. (2015). Quantifying the effect of ionic screening with protein-decorated graphene transistors. Biosensors and Bioelectronics. 89(Pt 1). 689–692. 34 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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