Renji Han

795 total citations
34 papers, 607 citations indexed

About

Renji Han is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, Renji Han has authored 34 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Public Health, Environmental and Occupational Health, 23 papers in Genetics and 14 papers in Modeling and Simulation. Recurrent topics in Renji Han's work include Mathematical and Theoretical Epidemiology and Ecology Models (27 papers), Evolution and Genetic Dynamics (22 papers) and Nonlinear Dynamics and Pattern Formation (11 papers). Renji Han is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (27 papers), Evolution and Genetic Dynamics (22 papers) and Nonlinear Dynamics and Pattern Formation (11 papers). Renji Han collaborates with scholars based in China, India and Hungary. Renji Han's co-authors include Binxiang Dai, Lakshmi Narayan Guin, Zhou Wang, Qiurong Ding, Yixuan Zhang, Jian He, Weiping Liu, Xiaoyu Sun, Xiaolin Luo and Yan Chen and has published in prestigious journals such as Diabetologia, Journal of Ethnopharmacology and Neurocomputing.

In The Last Decade

Renji Han

32 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renji Han China 13 384 274 180 133 86 34 607
Sandip Banerjee India 16 394 1.0× 242 0.9× 70 0.4× 305 2.3× 186 2.2× 80 832
Mark Pernarowski United States 8 304 0.8× 253 0.9× 85 0.5× 122 0.9× 70 0.8× 13 529
Krishna Pada Das India 13 317 0.8× 287 1.0× 48 0.3× 122 0.9× 17 0.2× 57 503
Hong Qiu China 10 149 0.4× 112 0.4× 13 0.1× 84 0.6× 60 0.7× 35 324
Shufan Wang China 10 199 0.5× 163 0.6× 17 0.1× 73 0.5× 19 0.2× 31 325
Stephen Baigent United Kingdom 11 108 0.3× 45 0.2× 59 0.3× 24 0.2× 110 1.3× 32 374
James F. Selgrade United States 17 463 1.2× 197 0.7× 114 0.6× 54 0.4× 57 0.7× 51 909
Hardik Joshi India 14 143 0.4× 26 0.1× 21 0.1× 272 2.0× 93 1.1× 25 470
Nessy Tania United States 9 48 0.1× 93 0.3× 10 0.1× 52 0.4× 130 1.5× 17 579
F Doveri Italy 10 54 0.1× 47 0.2× 22 0.1× 13 0.1× 41 0.5× 23 359

Countries citing papers authored by Renji Han

Since Specialization
Citations

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

Fields of papers citing papers by Renji Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renji Han

This figure shows the co-authorship network connecting the top 25 collaborators of Renji Han. A scholar is included among the top collaborators of Renji Han 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 Renji Han. Renji Han 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.
Miao, Zhiwei, Renji Han, Rui Deng, et al.. (2025). Proteomic analysis reveals that Acalypha australis L. mitigates chronic colitis by modulating the FABP4/PPARγ/NF-κB signaling pathway. Journal of Ethnopharmacology. 345. 119585–119585. 1 indexed citations
2.
Han, Renji, et al.. (2024). Nonlinear dynamics and pattern formation in a space–time discrete diffusive intraguild predation model. Physica D Nonlinear Phenomena. 468. 134295–134295. 5 indexed citations
3.
Guin, Lakshmi Narayan, et al.. (2024). Dynamic complexities in a predator–prey model with prey refuge influenced by double Allee effects. Mathematics and Computers in Simulation. 227. 527–552. 9 indexed citations
4.
Han, Renji, et al.. (2024). Spatiotemporal Patterns in a Space–Time Discrete SIRS Epidemic Model with Self- and Cross-Diffusion. International Journal of Bifurcation and Chaos. 34(8). 1 indexed citations
5.
6.
Bartha, Ferenc A., et al.. (2024). Probability of early infection extinction depends linearly on the virus clearance rate. Royal Society Open Science. 11(10). 240903–240903.
7.
Wang, Qi & Renji Han. (2024). Dynamics of Fractional Order Predator Prey Models with Refuge and Allee Effect in Prey: With and Without Time Delay. Qualitative Theory of Dynamical Systems. 24(1). 1 indexed citations
8.
Han, Renji, et al.. (2023). Complex patterns in a space–time discrete mathematical model of antibiotic resistance in hospitals with self-diffusion. Communications in Nonlinear Science and Numerical Simulation. 127. 107534–107534. 4 indexed citations
9.
Han, Renji & Gergely Röst. (2023). Stationary and oscillatory patterns of a food chain model with diffusion and predator‐taxis. Mathematical Methods in the Applied Sciences. 46(8). 9652–9675. 2 indexed citations
10.
Guin, Lakshmi Narayan, et al.. (2023). Allee effect-driven complexity in a spatiotemporal predator-prey system with fear factor. Mathematical Biosciences & Engineering. 20(10). 18820–18860. 3 indexed citations
11.
Han, Renji, et al.. (2022). Dynamical response of a reaction–diffusion predator–prey system with cooperative hunting and prey refuge. Journal of Statistical Mechanics Theory and Experiment. 2022(10). 103502–103502. 20 indexed citations
12.
Bartha, Ferenc A., et al.. (2022). In Silico Evaluation of Paxlovid’s Pharmacometrics for SARS-CoV-2: A Multiscale Approach. Viruses. 14(5). 1103–1103. 8 indexed citations
13.
Han, Renji, et al.. (2021). A hybrid PDE–ABM model for viral dynamics with application to SARS-CoV-2 and influenza. Royal Society Open Science. 8(11). 210787–210787. 15 indexed citations
14.
Li, Zhenzhen, Binxiang Dai, & Renji Han. (2021). Hopf Bifurcation in a Reaction–Diffusion–Advection Two Species Model with Nonlocal Delay Effect. Journal of Dynamics and Differential Equations. 35(3). 2453–2486. 5 indexed citations
15.
Lei, Jingsheng, et al.. (2021). A Finite-Time Convergent Neural Network for Solving Time-Varying Linear Equations with Inequality Constraints Applied to Redundant Manipulator. Neural Processing Letters. 54(1). 125–144. 1 indexed citations
16.
Han, Renji, Binxiang Dai, & Yuming Chen. (2019). Pattern formation in a diffusive intraguild predation model with nonlocal interaction effects. AIP Advances. 9(3). 11 indexed citations
17.
Han, Renji, Binxiang Dai, & Lin Wang. (2018). Delay induced spatiotemporal patterns in a diffusive intraguild predation model with Beddington-DeAngelis functional response. Mathematical Biosciences & Engineering. 15(3). 595–627. 14 indexed citations
18.
Han, Renji & Binxiang Dai. (2017). Spatiotemporal dynamics and spatial pattern in a diffusive intraguild predation model with delay effect. Applied Mathematics and Computation. 312. 177–201. 16 indexed citations
19.
Han, Renji, Qiurong Ding, Zhou Wang, et al.. (2007). Apolipoprotein A-I stimulates AMP-activated protein kinase and improves glucose metabolism. Diabetologia. 50(9). 1960–1968. 121 indexed citations
20.
Sun, Xiaoyu, et al.. (2006). Regulation of adiponectin receptors in hepatocytes by the peroxisome proliferator-activated receptor-γ agonist rosiglitazone. Diabetologia. 49(6). 1303–1310. 47 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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