Daniel J. Trainer

460 total citations
19 papers, 344 citations indexed

About

Daniel J. Trainer is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel J. Trainer has authored 19 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Materials Chemistry, 8 papers in Atomic and Molecular Physics, and Optics and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel J. Trainer's work include Graphene research and applications (8 papers), 2D Materials and Applications (7 papers) and MXene and MAX Phase Materials (5 papers). Daniel J. Trainer is often cited by papers focused on Graphene research and applications (8 papers), 2D Materials and Applications (7 papers) and MXene and MAX Phase Materials (5 papers). Daniel J. Trainer collaborates with scholars based in United States, Finland and Russia. Daniel J. Trainer's co-authors include M. Iavarone, Xiaoxing Xi, F. Bobba, Saw‐Wai Hla, Baokai Wang, Jouko Nieminen, Arun Bansil, C. Di Giorgio, Yuan Zhang and Xiaopeng Li and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nano Letters.

In The Last Decade

Daniel J. Trainer

19 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Trainer United States	9	260	89	77	44	42	19	344
Adam K. Budniak Israel	10	259 1.0×	166 1.9×	76 1.0×	31 0.7×	46 1.1×	20	358
Orlando J. Silveira Finland	11	232 0.9×	106 1.2×	103 1.3×	40 0.9×	59 1.4×	28	323
Rico Friedrich Germany	13	301 1.2×	180 2.0×	120 1.6×	41 0.9×	49 1.2×	27	428
Yohei Uemura Japan	6	212 0.8×	138 1.6×	59 0.8×	40 0.9×	66 1.6×	11	334
Shao-Gang Xu China	13	481 1.9×	122 1.4×	80 1.0×	45 1.0×	17 0.4×	42	543
Yanju Ji China	13	409 1.6×	196 2.2×	94 1.2×	49 1.1×	27 0.6×	31	520
Katherine A. Spoth United States	7	263 1.0×	118 1.3×	52 0.7×	23 0.5×	37 0.9×	17	375
E. Bruyer France	8	349 1.3×	156 1.8×	119 1.5×	34 0.8×	58 1.4×	11	425
Qi Liang Lu China	11	237 0.9×	57 0.6×	61 0.8×	25 0.6×	31 0.7×	36	337
Gil Ho Gu South Korea	9	225 0.9×	148 1.7×	50 0.6×	23 0.5×	77 1.8×	14	359

Countries citing papers authored by Daniel J. Trainer

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Trainer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Trainer. 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 Daniel J. Trainer. The network helps show where Daniel J. Trainer may publish in the future.

Co-authorship network of co-authors of Daniel J. Trainer

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

All Works

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19 of 19 papers shown

Trainer, Daniel J., Alex Taekyung Lee, Vijay Singh, et al.. (2024). 2D Ionic Liquid‐Like State of Charged Rare‐Earth Clusters on a Metal Surface. Advanced Science. 11(13). e2308813–e2308813. 3 indexed citations

Shirato, Nozomi, Tomás Rojas, Sarah Wieghold, et al.. (2023). Characterization of just one atom using synchrotron X-rays. Nature. 618(7963). 69–73. 45 indexed citations

Wieghold, Sarah, Nozomi Shirato, Daniel J. Trainer, et al.. (2023). X-ray Spectroscopy of a Rare-Earth Molecular System Measured at the Single Atom Limit at Room Temperature. The Journal of Physical Chemistry C. 127(40). 20064–20071. 2 indexed citations

Rajh, Tijana, Eric Masson, Naveen K. Dandu, et al.. (2023). Light- and Chemical-Doping-Induced Magnetic Behavior of Eu Molecular Systems. Inorganic Chemistry. 62(32). 12721–12729. 2 indexed citations

Trainer, Daniel J., Srilok Srinivasan, Brandon Fisher, et al.. (2022). Artificial Graphene Nanoribbons: A Test Bed for Topology and Low-Dimensional Dirac Physics. ACS Nano. 16(10). 16085–16090. 6 indexed citations

Trainer, Daniel J., Jouko Nieminen, F. Bobba, et al.. (2022). Visualization of defect induced in-gap states in monolayer MoS2. npj 2D Materials and Applications. 6(1). 29 indexed citations

Zhang, Yuan, Daniel J. Trainer, Badri Narayanan, et al.. (2021). One-Dimensional Lateral Force Anisotropy at the Atomic Scale in Sliding Single Molecules on a Surface. Nano Letters. 21(15). 6391–6397. 4 indexed citations

Shi, Junjuan, Yiming Li, Xin Jiang, et al.. (2021). Self-Assembly of Metallo-Supramolecules with Dissymmetrical Ligands and Characterization by Scanning Tunneling Microscopy. Journal of the American Chemical Society. 143(2). 1224–1234. 39 indexed citations

Trainer, Daniel J., Baokai Wang, F. Bobba, et al.. (2020). Proximity-Induced Superconductivity in Monolayer MoS₂. ACS Nano. 14(3). 2718–2728. 39 indexed citations

10.

Trainer, Daniel J., Yuan Zhang, F. Bobba, et al.. (2019). The Effects of Atomic-Scale Strain Relaxation on the Electronic Properties of Monolayer MoS₂. ACS Nano. 13(7). 8284–8291. 36 indexed citations

11.

Giorgio, C. Di, Vasilii Vadimov, Daniel J. Trainer, et al.. (2019). Vortex-core properties and vortex-lattice transformation in FeSe. Physical review. B.. 99(14). 19 indexed citations

12.

Precner, M., Tomas Polakovic, Qiao Qiao, et al.. (2018). Evolution of Metastable Defects and Its Effect on the Electronic Properties of MoS2 Films. Scientific Reports. 8(1). 6724–6724. 47 indexed citations

13.

Precner, M., Tomas Polakovic, Daniel J. Trainer, et al.. (2018). Metastable defects in monolayer and few-layer films of MoS2. AIP conference proceedings. 2005. 20004–20004. 2 indexed citations

14.

Trainer, Daniel J., C. Di Giorgio, Timo Saari, et al.. (2017). Inter-Layer Coupling Induced Valence Band Edge Shift in Mono- to Few-Layer MoS2. Scientific Reports. 7(1). 40559–40559. 44 indexed citations

15.

Trainer, Daniel J., Baokai Wang, Christopher Lane, et al.. (2017). Moiré superlattices and 2D electronic properties of graphite/MoS2 heterostructures. Journal of Physics and Chemistry of Solids. 128. 325–330. 14 indexed citations

16.

Feng, Ying, Daniel J. Trainer, & Ke Chen. (2017). Electrical properties of graphene tunnel junctions with high-κ metal-oxide barriers. Journal of Physics D Applied Physics. 50(15). 155101–155101. 3 indexed citations

17.

Feng, Ying, Daniel J. Trainer, Hongshang Peng, Ye Liu, & Ke Chen. (2016). Safe growth of graphene from non-flammable gas mixtures via chemical vapor deposition. Journal of Material Science and Technology. 33(3). 285–290. 5 indexed citations

18.

Giorgio, C. Di, Daniel J. Trainer, О. С. Волкова, et al.. (2016). Anisotropic Superconducting Gaps and Boson Mode in FeSe 1−x S x Single Crystals. Journal of Superconductivity and Novel Magnetism. 30(3). 763–768. 1 indexed citations

19.

Feng, Ying, Daniel J. Trainer, & Ke Chen. (2016). Graphene tunnel junctions with aluminum oxide barrier. Journal of Applied Physics. 120(16). 4 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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