Jin Ming Koh

1.8k total citations · 1 hit paper
51 papers, 1.3k citations indexed

About

Jin Ming Koh is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jin Ming Koh has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 11 papers in Statistical and Nonlinear Physics and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jin Ming Koh's work include Evolution and Genetic Dynamics (10 papers), Evolutionary Game Theory and Cooperation (9 papers) and Opinion Dynamics and Social Influence (7 papers). Jin Ming Koh is often cited by papers focused on Evolution and Genetic Dynamics (10 papers), Evolutionary Game Theory and Cooperation (9 papers) and Opinion Dynamics and Social Influence (7 papers). Jin Ming Koh collaborates with scholars based in Singapore, United States and China. Jin Ming Koh's co-authors include Kang Hao Cheong, Nenggang Xie, Chao Wang, Austin J. Minnich, Mário Motta, Tommy Tai, Ching Hua Lee, Joel Weijia Lai, Michael C. Jones and Eugene V. Koonin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Circulation.

In The Last Decade

Jin Ming Koh

49 papers receiving 1.3k 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.

Measurement-induced entanglement phase transition on a superconducting quantum processor with mid-circuit readout

2023 107 citations Jin Ming Koh, Austin J. Minnich et al. profile →

Peers

Jin Ming Koh

SNP

AI

AMPO

SPS

PS

Yuguo Chen United States

Adam Lipowski Poland

Ioannis G. Karafyllidis Greece

Peng Ji China

Nan Wang China

Zhuo Feng United States

Shiming Chen China

Shaohong Cai China

Zonghua Liu China

José Roberto Castilho Piqueira Brazil

Yuguo Chen United States

Jin Ming Koh

312 ×1.1

SNP

453 ×1.6

AI

45 ×0.2

AMPO

44 ×0.3

SPS

47 ×0.4

PS

Citations per year, relative to Jin Ming Koh Jin Ming Koh (= 1×) peers Yuguo Chen

Countries citing papers authored by Jin Ming Koh

Since Specialization

Citations

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

Fields of papers citing papers by Jin Ming Koh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Ming Koh. 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 Jin Ming Koh. The network helps show where Jin Ming Koh may publish in the future.

Co-authorship network of co-authors of Jin Ming Koh

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Ming Koh. A scholar is included among the top collaborators of Jin Ming Koh 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 Jin Ming Koh. Jin Ming Koh 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

1.

Koh, Jin Ming, et al.. (2025). Attainability of quantum state discrimination bounds with collective measurements on finite copies. Physical review. A. 111(2).

2.

Koh, Jin Ming, et al.. (2024). Tissue-specific proteome profile analysis reveals regulatory and stress responsive networks in passion fruit during storage. Scientific Reports. 14(1). 3564–3564. 6 indexed citations

3.

Koh, Jin Ming, Yosep Kim, Long B. Nguyen, et al.. (2024). Quantum computation of frequency-domain molecular response properties using a three-qubit iToffoli gate. npj Quantum Information. 10(1). 5 indexed citations

4.

Koh, Jin Ming, Tommy Tai, & Ching Hua Lee. (2024). Realization of higher-order topological lattices on a quantum computer. Nature Communications. 15(1). 5807–5807. 19 indexed citations

5.

Cheong, Kang Hao, Tao Wen, Sean Benler, Jin Ming Koh, & Eugene V. Koonin. (2022). Alternating lysis and lysogeny is a winning strategy in bacteriophages due to Parrondo's paradox. Proceedings of the National Academy of Sciences. 119(13). e2115145119–e2115145119. 31 indexed citations

6.

Tai, Tommy, et al.. (2022). Designing non-Hermitian real spectra through electrostatics. Science Bulletin. 67(18). 1865–1873. 33 indexed citations

7.

Wen, Tao, Kang Hao Cheong, Joel Weijia Lai, Jin Ming Koh, & Eugene V. Koonin. (2022). Extending the Lifespan of Multicellular Organisms via Periodic and Stochastic Intercellular Competition. Physical Review Letters. 128(21). 218101–218101. 30 indexed citations

8.

Koh, Jin Ming, Tommy Tai, & Ching Hua Lee. (2022). Simulation of Interaction-Induced Chiral Topological Dynamics on a Digital Quantum Computer. Physical Review Letters. 129(14). 140502–140502. 31 indexed citations

9.

Lai, Joel Weijia, et al.. (2020). Parrondo effect: Exploring the nature-inspired framework on periodic functions. Physica A Statistical Mechanics and its Applications. 556. 124714–124714. 10 indexed citations

10.

Ye, Ye, et al.. (2019). Passive network evolution promotes group welfare in complex networks. Chaos Solitons & Fractals. 130. 109464–109464. 44 indexed citations

11.

Cheong, Kang Hao, Andrew Fu Wah Ho, Huili Zheng, et al.. (2019). SIGNIFICANT ASSOCIATION BETWEEN TRANSBOUNDARY AIR POLLUTION AND ACUTE MYOCARDIAL INFARCTION. Journal of the American College of Cardiology. 73(9). 248–248. 2 indexed citations

12.

Saakian, David B., Jin Ming Koh, & Kang Hao Cheong. (2019). Approximate perturbative solutions of quasispecies model with recombination. Physical review. E. 99(6). 62407–62407. 1 indexed citations

13.

Cheong, Kang Hao, et al.. (2019). A simulation-aided approach in improving thermal-visual comfort and power efficiency in buildings. Journal of Building Engineering. 27. 100936–100936. 46 indexed citations

14.

Cheong, Kang Hao & Jin Ming Koh. (2019). A hybrid genetic-Levenberg Marquardt algorithm for automated spectrometer design optimization. Ultramicroscopy. 202. 100–106. 39 indexed citations

15.

Ho, Andrew Fu Wah, Huili Zheng, Arul Earnest, et al.. (2018). Abstract 12831: Effects of Air Pollution and Other Environmental Parameters on All-Cause Mortality in Singapore. Circulation. 1 indexed citations

16.

Koh, Jin Ming, et al.. (2018). Computational Imaging Prediction of Starburst-Effect Diffraction Spikes. Scientific Reports. 8(1). 16919–16919. 4 indexed citations

17.

Saakian, David B., Kang Hao Cheong, & Jin Ming Koh. (2018). Solution of the Crow-Kimura model with changing population size and Allee effect. Physical review. E. 98(1). 12405–12405. 1 indexed citations

18.

Zhu, Ning, Pamela S. Soltis, Sixue Chen, & Jin Ming Koh. (2012). Proteomics and Mass Spectrometry of Tragopogon Polyploid Evolution. Journal of Biomolecular Techniques JBT. 23. 1 indexed citations

19.

Buggs, Richard J. A., et al.. (2010). Tissue‐specific silencing of homoeologs in natural populations of the recent allopolyploid Tragopogon mirus. New Phytologist. 186(1). 175–183. 87 indexed citations

20.

Koh, Jin Ming. (2002). Consideration of numerical simulation parameters and heat transfer models for a molten carbonate fuel cell stack. Chemical Engineering Journal. 87(3). 367–379. 63 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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