José L. Lado

4.4k total citations · 1 hit paper
113 papers, 3.1k citations indexed

About

José L. Lado is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, José L. Lado has authored 113 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Atomic and Molecular Physics, and Optics, 66 papers in Materials Chemistry and 33 papers in Condensed Matter Physics. Recurrent topics in José L. Lado's work include Topological Materials and Phenomena (52 papers), Quantum and electron transport phenomena (38 papers) and Graphene research and applications (37 papers). José L. Lado is often cited by papers focused on Topological Materials and Phenomena (52 papers), Quantum and electron transport phenomena (38 papers) and Graphene research and applications (37 papers). José L. Lado collaborates with scholars based in Finland, Portugal and Spain. José L. Lado's co-authors include J. Fernández‐Rossier, Aline Ramires, David Soriano, Takashi Taniguchi, Dahlia Klein, P. C. Canfield, Efrén Navarro‐Moratalla, David MacNeill, Pablo Jarillo‐Herrero and Soham Manni and has published in prestigious journals such as Science, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

José L. Lado

106 papers receiving 3.1k citations

Hit Papers

Probing magnetism in 2D van der Waals crystalline insulat... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José L. Lado Finland 28 1.9k 1.7k 949 593 523 113 3.1k
Johannes Gooth Germany 32 2.0k 1.1× 2.2k 1.3× 562 0.6× 687 1.2× 654 1.3× 78 3.2k
Yonatan Dubi Israel 27 1.2k 0.7× 1.5k 0.9× 1.1k 1.1× 598 1.0× 497 1.0× 66 2.9k
Peizhe Tang China 28 3.5k 1.9× 2.7k 1.6× 913 1.0× 943 1.6× 594 1.1× 69 4.6k
Youngkuk Kim South Korea 25 2.3k 1.2× 1.9k 1.1× 770 0.8× 639 1.1× 364 0.7× 94 3.2k
Dapeng Yu China 33 2.6k 1.4× 1.2k 0.7× 1.4k 1.5× 434 0.7× 632 1.2× 156 4.0k
Zhenhua Qiao China 30 3.8k 2.1× 3.8k 2.3× 1.1k 1.2× 803 1.4× 1.1k 2.0× 127 5.5k
Toshiya Ideue Japan 22 1.5k 0.8× 1.7k 1.0× 826 0.9× 1.1k 1.8× 704 1.3× 35 2.9k
Ray Ashoori Japan 2 2.8k 1.5× 2.0k 1.2× 691 0.7× 627 1.1× 454 0.9× 3 3.6k
Ahmet Kemal Demir Türkiye 6 2.7k 1.5× 2.0k 1.2× 636 0.7× 635 1.1× 459 0.9× 15 3.6k
Jens Martin Germany 20 2.9k 1.6× 1.9k 1.1× 1.4k 1.5× 319 0.5× 180 0.3× 57 4.0k

Countries citing papers authored by José L. Lado

Since Specialization
Citations

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

Fields of papers citing papers by José L. Lado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José L. Lado. 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 José L. Lado. The network helps show where José L. Lado may publish in the future.

Co-authorship network of co-authors of José L. Lado

This figure shows the co-authorship network connecting the top 25 collaborators of José L. Lado. A scholar is included among the top collaborators of José L. Lado 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 José L. Lado. José L. Lado 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.
Lado, José L., et al.. (2025). Phase diagram of the J1J2 Heisenberg second-order topological quantum magnet. Physical Review Research. 7(1).
2.
Sun, Kewei, Nan Cao, Orlando J. Silveira, et al.. (2025). On-surface synthesis of Heisenberg spin-1/2 antiferromagnetic molecular chains. Science Advances. 11(9). eads1641–eads1641. 7 indexed citations
3.
Oudah, Mohamed, Shinji Kitao, José L. Lado, et al.. (2025). Charge-entropy-stabilized selenide AgxSn1−xSe. Communications Materials. 6(1).
4.
Cao, Nan, Orlando J. Silveira, Adolfo O. Fumega, et al.. (2025). Frustration-Induced Many-Body Degeneracy in Spin −1/2 Molecular Quantum Rings. Journal of the American Chemical Society. 147(30). 26208–26217.
5.
Liu, Erfu, et al.. (2024). Non-Hermitian Moiré Valley Filter. Physical Review Letters. 132(15). 156301–156301. 13 indexed citations
6.
Silveira, Orlando J., Mohammad Amini, Shawulienu Kezilebieke, et al.. (2024). Emergence of Exotic Spin Texture in Supramolecular Metal Complexes on a 2D Superconductor. Physical Review Letters. 133(23). 236203–236203. 1 indexed citations
7.
Bascones, E., et al.. (2024). Moiré-enabled topological superconductivity in twisted bilayer graphene. 2D Materials. 11(3). 35012–35012. 4 indexed citations
8.
Lado, José L., et al.. (2024). Transfer learning from Hermitian to non-Hermitian quantum many-body physics. Journal of Physics Condensed Matter. 36(18). 185603–185603. 4 indexed citations
9.
Lado, José L., et al.. (2023). Andreev Reflection and Klein Tunneling in High-Temperature Superconductor-Graphene Junctions. Physical Review Letters. 130(15). 156201–156201. 6 indexed citations
10.
Drost, Robert, Shawulienu Kezilebieke, José L. Lado, & Peter Liljeroth. (2023). Real-Space Imaging of Triplon Excitations in Engineered Quantum Magnets. Physical Review Letters. 131(8). 5 indexed citations
11.
Ganguli, Somesh Chandra, Mohammad Amini, Linghao Yan, et al.. (2023). Evidence of Nodal Superconductivity in Monolayer 1H‐TaS2 with Hidden Order Fluctuations (Adv. Mater. 45/2023). Advanced Materials. 35(45). 1 indexed citations
12.
Ganguli, Somesh Chandra, Mohammad Amini, Linghao Yan, et al.. (2023). Evidence of Nodal Superconductivity in Monolayer 1H‐TaS2 with Hidden Order Fluctuations. Advanced Materials. 35(45). e2305409–e2305409. 17 indexed citations
13.
Bordin, Alberto, et al.. (2023). Adversarial Hamiltonian learning of quantum dots in a minimal Kitaev chain. Physical Review Applied. 20(4). 15 indexed citations
14.
Ojanen, Teemu, et al.. (2023). Effects of electron-electron interactions in the Yu-Shiba-Rusinov lattice model. Physical review. B.. 107(17). 2 indexed citations
15.
Fumega, Adolfo O. & José L. Lado. (2022). Microscopic origin of multiferroic order in monolayer NiI2. 2D Materials. 9(2). 25010–25010. 52 indexed citations
16.
Heikkilä, Tero T., et al.. (2022). Controlling magnetism through Ising superconductivity in magnetic van der Waals heterostructures. Physical review. B.. 105(5). 8 indexed citations
17.
Ramires, Aline & José L. Lado. (2021). Emulating Heavy Fermions in Twisted Trilayer Graphene. Physical Review Letters. 127(2). 26401–26401. 51 indexed citations
18.
Lado, José L., et al.. (2021). Coulomb-Engineered Topology. Bulletin of the American Physical Society. 1 indexed citations
19.
Yang, Kai, Philip Willke, Yujeong Bae, et al.. (2018). Electrically controlled nuclear polarization of individual atoms. Nature Nanotechnology. 13(12). 1120–1125. 51 indexed citations
20.
Klein, Dahlia, David MacNeill, José L. Lado, et al.. (2018). Probing magnetism in 2D van der Waals crystalline insulators via electron tunneling. Science. 360(6394). 1218–1222. 672 indexed citations breakdown →

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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