Andrew Pannone

1.2k total citations · 1 hit paper
20 papers, 789 citations indexed

About

Andrew Pannone is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Andrew Pannone has authored 20 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 8 papers in Biomedical Engineering and 7 papers in Materials Chemistry. Recurrent topics in Andrew Pannone's work include Advanced Memory and Neural Computing (11 papers), 2D Materials and Applications (6 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). Andrew Pannone is often cited by papers focused on Advanced Memory and Neural Computing (11 papers), 2D Materials and Applications (6 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). Andrew Pannone collaborates with scholars based in United States, India and Austria. Andrew Pannone's co-authors include Saptarshi Das, Shiva Subbulakshmi Radhakrishnan, Joan M. Redwing, Darsith Jayachandran, Nicholas Trainor, Muhtasim Ul Karim Sadaf, Najam U Sakib, Harikrishnan Ravichandran, Akhil Dodda and Amritanand Sebastian and has published in prestigious journals such as Nature, Nature Communications and Nature Materials.

In The Last Decade

Andrew Pannone

19 papers receiving 779 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Three-dimensional integration of two-dimensional field-effect transistors

2024 169 citations Darsith Jayachandran, Rahul Pendurthi et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Pannone United States	13	571	329	164	123	70	20	789
Aaryan Oberoi United States	10	608 1.1×	366 1.1×	128 0.8×	157 1.3×	91 1.3×	11	822
Thomas F. Schranghamer United States	12	495 0.9×	284 0.9×	107 0.7×	144 1.2×	54 0.8×	16	655
Shiva Subbulakshmi Radhakrishnan United States	10	565 1.0×	244 0.7×	120 0.7×	182 1.5×	95 1.4×	12	713
Akhil Dodda United States	13	623 1.1×	346 1.1×	148 0.9×	185 1.5×	78 1.1×	14	875
Kaichen Zhu China	16	810 1.4×	424 1.3×	113 0.7×	210 1.7×	57 0.8×	38	1000
Jianguo Yang China	14	507 0.9×	133 0.4×	64 0.4×	125 1.0×	84 1.2×	59	638
Hyungjun Kim South Korea	14	555 1.0×	207 0.6×	116 0.7×	103 0.8×	129 1.8×	32	812
Nicholas Trainor United States	13	683 1.2×	627 1.9×	216 1.3×	84 0.7×	71 1.0×	25	1.0k
Rebecca Park United States	7	664 1.2×	379 1.2×	214 1.3×	101 0.8×	43 0.6×	8	883
Victoria Chen United States	10	772 1.4×	531 1.6×	81 0.5×	220 1.8×	78 1.1×	16	1.0k

Countries citing papers authored by Andrew Pannone

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Pannone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Pannone

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Schranghamer, Thomas F., Andrew Pannone, Chen Chen, et al.. (2025). Large-scale crossbar arrays based on three-terminal MoS2 memtransistors. Nature Communications. 16(1). 9518–9518. 1 indexed citations

Ghosh, Subir, Muhtasim Ul Karim Sadaf, Andrew Pannone, et al.. (2025). High-performance p-type bilayer WSe2 field effect transistors by nitric oxide doping. Nature Communications. 16(1). 5649–5649. 4 indexed citations

Ghosh, Subir, Harikrishnan Ravichandran, Yongwen Sun, et al.. (2025). A complementary two-dimensional material-based one instruction set computer. Nature. 642(8067). 327–335. 17 indexed citations

Mukhopadhyay, Krishnendu, et al.. (2025). Exploring the Application of Gold‐Assisted Exfoliation in Large‐scale Integration of n‐Type and p‐Type 2D‐FETs. Small Methods. 10(3). e2500559–e2500559. 1 indexed citations

Das, M.B., Dipanjan Sen, Zhiyu Zhang, et al.. (2025). Nanosheets Derived from Titanium Diboride as Gate Insulators for Atomically Thin Transistors. ACS Nano. 19(21). 19646–19658. 2 indexed citations

Kang, Seogchan, Ruifu Yuan, Andrew Pannone, et al.. (2025). Detection and Monitoring of Volatile Organic Compounds (VOCs) via the Use of Engineered Chemical Sensors: An Underexplored Tool for Safeguarding Crop Health and Quality. PhytoFrontiers™. 6(1). 5–22.

Jayachandran, Darsith, Rahul Pendurthi, Muhtasim Ul Karim Sadaf, et al.. (2024). Three-dimensional integration of two-dimensional field-effect transistors. Nature. 625(7994). 276–281. 169 indexed citations breakdown →

Sakib, Najam U, Muhtasim Ul Karim Sadaf, Andrew Pannone, et al.. (2024). A Crayfish-Inspired Sensor Fusion Platform for Super Additive Integration of Visual, Chemical, and Tactile Information. Nano Letters. 24(23). 6948–6956. 3 indexed citations

Pannone, Andrew, et al.. (2024). Robust chemical analysis with graphene chemosensors and machine learning. Nature. 634(8034). 572–578. 38 indexed citations

10.

Oberoi, Aaryan, Ying Han, Sergei P. Stepanoff, et al.. (2023). Toward High-Performance p-Type Two-Dimensional Field Effect Transistors: Contact Engineering, Scaling, and Doping. ACS Nano. 17(20). 19709–19723. 39 indexed citations

11.

Ravichandran, Harikrishnan, Theresia Knobloch, Andrew Pannone, et al.. (2023). Observation of Rich Defect Dynamics in Monolayer MoS₂. ACS Nano. 17(15). 14449–14460. 13 indexed citations

12.

Ghosh, Subir, Andrew Pannone, Dipanjan Sen, et al.. (2023). An all 2D bio-inspired gustatory circuit for mimicking physiology and psychology of feeding behavior. Nature Communications. 14(1). 6021–6021. 33 indexed citations

13.

Sadaf, Muhtasim Ul Karim, Najam U Sakib, Andrew Pannone, Harikrishnan Ravichandran, & Saptarshi Das. (2023). A bio-inspired visuotactile neuron for multisensory integration. Nature Communications. 14(1). 5729–5729. 65 indexed citations

14.

Schranghamer, Thomas F., Andrew Pannone, Harikrishnan Ravichandran, et al.. (2023). Radiation Resilient Two-Dimensional Electronics. ACS Applied Materials & Interfaces. 15(22). 26946–26959. 10 indexed citations

15.

Jayachandran, Darsith, et al.. (2022). Insect-Inspired, Spike-Based, in-Sensor, and Night-Time Collision Detector Based on Atomically Thin and Light-Sensitive Memtransistors. ACS Nano. 17(2). 1068–1080. 23 indexed citations

16.

Dodda, Akhil, Darsith Jayachandran, Shiva Subbulakshmi Radhakrishnan, et al.. (2022). Bioinspired and Low-Power 2D Machine Vision with Adaptive Machine Learning and Forgetting. ACS Nano. 16(12). 20010–20020. 41 indexed citations

17.

Dodda, Akhil, Darsith Jayachandran, Andrew Pannone, et al.. (2022). Active pixel sensor matrix based on monolayer MoS2 phototransistor array. Nature Materials. 21(12). 1379–1387. 157 indexed citations

18.

Sebastian, Amritanand, Andrew Pannone, Shiva Subbulakshmi Radhakrishnan, & Saptarshi Das. (2019). Gaussian synapses for probabilistic neural networks. Nature Communications. 10(1). 4199–4199. 101 indexed citations

19.

Wali, Akshay, Akhil Dodda, Andrew Pannone, et al.. (2019). Biological physically unclonable function. Communications Physics. 2(1). 60 indexed citations

20.

Dodda, Akhil, Akshay Wali, Andrew Pannone, et al.. (2018). Biological One‐Way Functions for Secure Key Generation. Advanced Theory and Simulations. 2(2). 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.

Explore authors with similar magnitude of impact