Gunog Seo

479 total citations
12 papers, 348 citations indexed

About

Gunog Seo is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Ecology. According to data from OpenAlex, Gunog Seo has authored 12 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Public Health, Environmental and Occupational Health, 9 papers in Genetics and 3 papers in Ecology. Recurrent topics in Gunog Seo's work include Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Evolution and Genetic Dynamics (9 papers) and Mathematical Biology Tumor Growth (3 papers). Gunog Seo is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Evolution and Genetic Dynamics (9 papers) and Mathematical Biology Tumor Growth (3 papers). Gunog Seo collaborates with scholars based in Canada, United States and China. Gunog Seo's co-authors include Frithjof Lutscher, Donald L. DeAngelis, Gail S. K. Wolkowicz, Mark Kot, Qihua Huang, Chunhua Shan, Jian Wu, Jian Fang and Kunquan Lan and has published in prestigious journals such as Journal of Theoretical Biology, SIAM Journal on Applied Mathematics and Mathematical Biosciences.

In The Last Decade

Gunog Seo

12 papers receiving 326 citations

Peers

Gunog Seo

PHEOH

GENET

SPS

CNC

MS

Chunjin Wei China

Jaime Mena-Lorca Chile

Shulin Sun China

Michel Iskin da S. Costa Brazil

Hunki Baek South Korea

Moitri Sen India

John B. Collings United States

Alakes Maiti India

Atasi Patra Maiti India

Alejandro Rojas‐Palma Chile

Chunjin Wei China

Gunog Seo

305 ×1.1

PHEOH

177 ×0.8

GENET

53 ×0.7

SPS

39 ×0.7

CNC

147 ×2.8

MS

Citations per year, relative to Gunog Seo Gunog Seo (= 1×) peers Chunjin Wei

Countries citing papers authored by Gunog Seo

Since Specialization

Citations

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

Fields of papers citing papers by Gunog Seo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunog Seo

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

All Works

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12 of 12 papers shown

1.

Seo, Gunog & Gail S. K. Wolkowicz. (2019). Pest control by generalist parasitoids: A bifurcation theory approach. Discrete and Continuous Dynamical Systems - S. 13(11). 3157–3187. 10 indexed citations

2.

Seo, Gunog & Gail S. K. Wolkowicz. (2018). Sensitivity of the dynamics of the general Rosenzweig–MacArthur model to the mathematical form of the functional response: a bifurcation theory approach. Journal of Mathematical Biology. 76(7). 1873–1906. 22 indexed citations

3.

Huang, Qihua, Gunog Seo, & Chunhua Shan. (2017). Bifurcations and global dynamics in a toxin-dependent aquatic population model. Mathematical Biosciences. 296. 26–35. 18 indexed citations

4.

Seo, Gunog & Gail S. K. Wolkowicz. (2015). Existence of Multiple Limit Cycles in a Predator-Prey Model with $\arctan(ax)$ as Functional Response. 18(1). 64–68. 2 indexed citations

5.

Fang, Jian, Kunquan Lan, Gunog Seo, & Jian Wu. (2014). Spatial Dynamics of an Age-Structured Population Model of Asian Clams. SIAM Journal on Applied Mathematics. 74(4). 959–979. 8 indexed citations

6.

Seo, Gunog, et al.. (2013). Mathematical model of anaerobic digestion in a chemostat: effects of syntrophy and inhibition. Journal of Biological Dynamics. 7(1). 59–85. 40 indexed citations

7.

Lutscher, Frithjof, et al.. (2013). Bistability and limit cycles in generalist predator–prey dynamics. Ecological Complexity. 14. 48–55. 77 indexed citations

8.

Lutscher, Frithjof & Gunog Seo. (2011). The effect of temporal variability on persistence conditions in rivers. Journal of Theoretical Biology. 283(1). 53–59. 25 indexed citations

9.

Seo, Gunog & Donald L. DeAngelis. (2011). A Predator–Prey Model with a Holling Type I Functional Response Including a Predator Mutual Interference. Journal of Nonlinear Science. 21(6). 811–833. 77 indexed citations

10.

Seo, Gunog & Frithjof Lutscher. (2011). SPREAD RATES UNDER TEMPORAL VARIABILITY: CALCULATION AND APPLICATION TO BIOLOGICAL INVASIONS. Mathematical Models and Methods in Applied Sciences. 21(12). 2469–2489. 11 indexed citations

11.

Seo, Gunog & Mark Kot. (2008). A comparison of two predator–prey models with Holling’s type I functional response. Mathematical Biosciences. 212(2). 161–179. 57 indexed citations

12.

Seo, Gunog, et al.. (2008). The dynamics of a simple Laissez-Faire model with two predators. Mathematical Biosciences & Engineering. 6(1). 145–172. 1 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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