Junghyo Jo

1.4k total citations · 1 hit paper
39 papers, 1.0k citations indexed

About

Junghyo Jo is a scholar working on Surgery, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Junghyo Jo has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 9 papers in Molecular Biology and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Junghyo Jo's work include Pancreatic function and diabetes (13 papers), Neural dynamics and brain function (9 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). Junghyo Jo is often cited by papers focused on Pancreatic function and diabetes (13 papers), Neural dynamics and brain function (9 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). Junghyo Jo collaborates with scholars based in South Korea, United States and Italy. Junghyo Jo's co-authors include Vipul Periwal, Samuel W. Cushman, Anne E. Sumner, Stephanie Pack, William Jou, Oksana Gavrilova, M. Y. Choi, K. I. Lee, Seung-Han You and Kyongsu Yi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biophysical Journal.

In The Last Decade

Junghyo Jo

37 papers receiving 1.0k citations

Hit Papers

align trajectories sort by overperformance

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.

Hypertrophy and/or Hyperplasia: Dynamics of Adipose Tissue Growth

2009 612 citations Junghyo Jo, Oksana Gavrilova et al. PLoS Computational Biology profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Junghyo Jo	420	309	293	180	146	39	1.0k
Prabhu Ramamoorthy	128 0.3×	597 1.9×	208 0.7×	167 0.9×	65 0.4×	80	1.7k
A. Bertuzzi	401 1.0×	381 1.2×	67 0.2×	475 2.6×	393 2.7×	81	1.5k
Gunnar Cedersund	180 0.4×	686 2.2×	174 0.6×	191 1.1×	122 0.8×	73	1.2k
Quan Liu	142 0.3×	614 2.0×	107 0.4×	118 0.7×	162 1.1×	78	1.3k
Xiaoying Huang	76 0.2×	566 1.8×	193 0.7×	107 0.6×	33 0.2×	93	1.6k
Yoon-Ho Choi	134 0.3×	211 0.7×	120 0.4×	78 0.4×	72 0.5×	54	1.1k
Yiliang Chen	147 0.3×	772 2.5×	196 0.7×	215 1.2×	139 1.0×	81	1.6k
Piyushkumar A. Mundra	117 0.3×	745 2.4×	103 0.4×	88 0.5×	74 0.5×	48	1.6k
Ruixue Li	212 0.5×	355 1.1×	73 0.2×	119 0.7×	13 0.1×	104	1.3k

Countries citing papers authored by Junghyo Jo

Since Specialization

Citations

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

Fields of papers citing papers by Junghyo Jo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junghyo Jo

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

All Works

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20 of 20 papers shown

Jo, Junghyo, Alexandre Wagemakers, & Vipul Periwal. (2024). Annealing approach to root finding. Physical review. E. 110(2). 25305–25305. 1 indexed citations

Jo, Junghyo, et al.. (2022). Scale-invariant representation of machine learning. Physical review. E. 105(4). 44306–44306. 2 indexed citations

Jo, Junghyo, et al.. (2021). Information Flows of Diverse Autoencoders. Entropy. 23(7). 862–862. 8 indexed citations

Kim, Heetae, et al.. (2020). Synchronization of active rotators interacting with environment. Physical review. E. 101(2). 22613–22613. 4 indexed citations

Jo, Junghyo, et al.. (2020). Erasure machine: Inverse Ising inference from reweighting of observation frequencies. Physical review. E. 101(3). 32107–32107. 2 indexed citations

Xu, Jin & Junghyo Jo. (2019). Broad cross-reactivity of the T-cell repertoire achieves specific and sufficiently rapid target searching. Journal of Theoretical Biology. 466. 119–127. 2 indexed citations

Jo, Junghyo, et al.. (2019). Data-driven inference of hidden nodes in networks. Physical review. E. 99(4). 42114–42114. 9 indexed citations

Periwal, Vipul, et al.. (2019). Network inference in stochastic systems from neurons to currencies: Improved performance at small sample size. Physical review. E. 99(2). 23311–23311. 9 indexed citations

Periwal, Vipul, et al.. (2017). Maximizing weighted Shannon entropy for network inference with little data. arXiv (Cornell University). 2 indexed citations

10.

Lee, Kayoung, Jaeyoon Kim, Seungmin Han, et al.. (2017). Phase modulation of insulin pulses enhances glucose regulation and enables inter-islet synchronization. PLoS ONE. 12(2). e0172901–e0172901. 12 indexed citations

11.

Park, Dong‐Ho, et al.. (2017). A Local Counter-Regulatory Motif Modulates the Global Phase of Hormonal Oscillations. Scientific Reports. 7(1). 1602–1602. 3 indexed citations

12.

Jo, Junghyo, et al.. (2015). Traveling wave in a three-dimensional array of conformist and contrarian oscillators. Physical Review E. 91(3). 32135–32135. 1 indexed citations

13.

Matsunari, Hitomi, Masaki Nagaya, Hiroshi Nagashima, et al.. (2014). A Conserved Rule for Pancreatic Islet Organization. PLoS ONE. 9(10). e110384–e110384. 40 indexed citations

14.

Grapov, Dmitry, Johannes F. Fahrmann, Jessica Hwang, et al.. (2014). Diabetes associated metabolomic perturbations in NOD mice. Metabolomics. 11(2). 425–437. 30 indexed citations

15.

Hong, Hyunsuk, Junghyo Jo, & Sang-Jin Sin. (2013). Stable and flexible system for glucose homeostasis. Physical Review E. 88(3). 32711–32711. 16 indexed citations

16.

Jo, Junghyo, et al.. (2013). Partial mixing phase of binary cells in finite systems. Physical Review E. 88(6). 62725–62725. 1 indexed citations

17.

Jo, Junghyo, et al.. (2012). Quantitative dynamics of adipose cells. Adipocyte. 1(2). 80–88. 33 indexed citations

18.

Jo, Junghyo, Juen Guo, Teresa Liu, et al.. (2010). Hypertrophy-Driven Adipocyte Death Overwhelms Recruitment under Prolonged Weight Gain. Biophysical Journal. 99(11). 3535–3544. 37 indexed citations

19.

Jo, Junghyo, Oksana Gavrilova, Stephanie Pack, et al.. (2009). Hypertrophy and/or Hyperplasia: Dynamics of Adipose Tissue Growth. PLoS Computational Biology. 5(3). e1000324–e1000324. 612 indexed citations breakdown →

20.

Jo, Junghyo, et al.. (2005). How Noise and Coupling Induce Bursting Action Potentials in Pancreatic β-Cells. Biophysical Journal. 89(3). 1534–1542. 36 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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