John M. Woods

1.4k total citations
30 papers, 1.1k citations indexed

About

John M. Woods is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, John M. Woods has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 10 papers in Electrical and Electronic Engineering and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in John M. Woods's work include 2D Materials and Applications (15 papers), Graphene research and applications (8 papers) and MXene and MAX Phase Materials (7 papers). John M. Woods is often cited by papers focused on 2D Materials and Applications (15 papers), Graphene research and applications (8 papers) and MXene and MAX Phase Materials (7 papers). John M. Woods collaborates with scholars based in United States, Japan and China. John M. Woods's co-authors include J. Judy, Yanhui Liu, Yeonwoong Jung, Jie Shen, Yong Sun, Joshua V. Pondick, Yu Zhou, Yujun Xie, Hailiang Wang and Wen Liu and has published in prestigious journals such as Advanced Materials, Nature Communications and Nano Letters.

In The Last Decade

John M. Woods

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John M. Woods United States 15 900 508 306 101 98 30 1.1k
Amir Hajibabaei South Korea 12 551 0.6× 517 1.0× 187 0.6× 38 0.4× 61 0.6× 24 910
Shu‐Hao Chang Taiwan 14 584 0.6× 647 1.3× 285 0.9× 41 0.4× 134 1.4× 34 950
Liu Lü China 16 483 0.5× 429 0.8× 126 0.4× 65 0.6× 173 1.8× 47 825
Anima Ghosh India 20 642 0.7× 625 1.2× 179 0.6× 38 0.4× 31 0.3× 37 857
Ke Zhao China 12 668 0.7× 412 0.8× 404 1.3× 25 0.2× 50 0.5× 35 887
Yannan Qian China 17 446 0.5× 400 0.8× 125 0.4× 132 1.3× 101 1.0× 56 698
M Aleman Mexico 11 278 0.3× 279 0.5× 125 0.4× 32 0.3× 90 0.9× 32 480
Sourav Mandal India 16 307 0.3× 525 1.0× 73 0.2× 97 1.0× 134 1.4× 80 793
Jayce Jian Wei Cheng Singapore 12 563 0.6× 439 0.9× 109 0.4× 27 0.3× 177 1.8× 24 756

Countries citing papers authored by John M. Woods

Since Specialization
Citations

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

Fields of papers citing papers by John M. Woods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Woods. 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 John M. Woods. The network helps show where John M. Woods may publish in the future.

Co-authorship network of co-authors of John M. Woods

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Woods. A scholar is included among the top collaborators of John M. Woods 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 John M. Woods. John M. Woods 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.
Woods, John M., Takashi Taniguchi, Kenji Watanabe, et al.. (2025). Dynamic Interplay of Nonlocal Recombination Pathways in Quantum Emitters in Hexagonal Boron Nitride. The Journal of Physical Chemistry C. 129(4). 2044–2053.
2.
Woods, John M., Jiamin Quan, Enrique Mejía‐Ospino, et al.. (2023). Interaction-driven transport of dark excitons in 2D semiconductors with phonon-mediated optical readout. Nature Communications. 14(1). 3712–3712. 16 indexed citations
3.
Woods, John M., et al.. (2022). Visualization of Dark Excitons in Semiconductor Monolayers for High-Sensitivity Strain Sensing. Nano Letters. 22(7). 3087–3094. 10 indexed citations
4.
Zhang, Xurui, et al.. (2021). Thickness Dependence of Magneto-transport Properties in Tungsten Ditelluride. arXiv (Cornell University). 9 indexed citations
5.
Pondick, Joshua V., Aakash Kumar, Mengjing Wang, et al.. (2021). Heterointerface Control over Lithium-Induced Phase Transitions in MoS2 Nanosheets: Implications for Nanoscaled Energy Materials. ACS Applied Nano Materials. 4(12). 14105–14114. 12 indexed citations
6.
Hynek, David J., Shiyu Xu, Benjamin E. Davis, et al.. (2020). cm2-Scale Synthesis of MoTe2 Thin Films with Large Grains and Layer Control. ACS Nano. 15(1). 410–418. 34 indexed citations
7.
Zhang, Xurui, John M. Woods, J. Judy, & Xiaoyan Shi. (2020). Crossover between weak antilocalization and weak localization in few-layer WTe2: Role of electron-electron interactions. Physical review. B.. 102(11). 11 indexed citations
8.
Woods, John M., et al.. (2019). Synthesis of WTe2 Nanowires with Increased Electron Scattering. ACS Nano. 13(6). 6455–6460. 25 indexed citations
9.
Zhou, Yu, Joshua V. Pondick, John M. Woods, et al.. (2019). Unveiling the Interfacial Effects for Enhanced Hydrogen Evolution Reaction on MoS2/WTe2 Hybrid Structures. Small. 15(19). e1900078–e1900078. 69 indexed citations
10.
Pondick, Joshua V., John M. Woods, Jie Xing, Yu Zhou, & J. Judy. (2018). Stepwise Sulfurization from MoO3 to MoS2 via Chemical Vapor Deposition. ACS Applied Nano Materials. 1(10). 5655–5661. 99 indexed citations
11.
Zhou, Yu, John M. Woods, Joshua V. Pondick, et al.. (2018). Revealing the Contribution of Individual Factors to Hydrogen Evolution Reaction Catalytic Activity. Advanced Materials. 30(18). e1706076–e1706076. 100 indexed citations
12.
Woods, John M., Jie Shen, Piranavan Kumaravadivel, et al.. (2017). Suppression of Magnetoresistance in Thin WTe2 Flakes by Surface Oxidation. ACS Applied Materials & Interfaces. 9(27). 23175–23180. 47 indexed citations
13.
Zhou, Yu, Hyejin Jang, John M. Woods, et al.. (2017). Direct Synthesis of Large‐Scale WTe2 Thin Films with Low Thermal Conductivity. Advanced Functional Materials. 27(8). 98 indexed citations
14.
Reklaitis, Gintaras V., et al.. (1978). GASP IV and the Simulation of Batch/Semicontinuous Operations: Single Train Process. Industrial & Engineering Chemistry Process Design and Development. 17(2). 161–165. 8 indexed citations
15.
Eckert, Roger E., et al.. (1974). On Fitting Combined Integral and Differential Reaction Kinetic Data. Rate Modeling for Catalytic Hydrogenation of Butadiene. Industrial & Engineering Chemistry Fundamentals. 13(1). 52–56. 1 indexed citations
16.
Reklaitis, G. V. & John M. Woods. (1974). Optimization of a Non-Ideal Staged Compress Facility. Purdue e-Pubs (Purdue University System).
17.
Reklaitis, Gintaras V., et al.. (1974). Simulation of multiproduct batch chemical processes. The Chemical Engineering Journal. 8(3). 199–211. 6 indexed citations
18.
Albright, Lyle F., et al.. (1965). Hydrogenation of cottonseed oil with reused catalyst. Journal of the American Oil Chemists Society. 42(6). 556–560. 11 indexed citations
19.
Albright, Lyle F., et al.. (1960). Solvent hydrogenation of cottonseed oil. Journal of the American Oil Chemists Society. 37(7). 315–320. 18 indexed citations
20.
Woods, John M., et al.. (1959). Vinyl chloride from acetylene and hydrogen chloride: Catalytic‐rate studies. AIChE Journal. 5(3). 361–366. 5 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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