Tin Phan

1.2k total citations
29 papers, 358 citations indexed

About

Tin Phan is a scholar working on Modeling and Simulation, Pulmonary and Respiratory Medicine and Infectious Diseases. According to data from OpenAlex, Tin Phan has authored 29 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Modeling and Simulation, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Infectious Diseases. Recurrent topics in Tin Phan's work include Prostate Cancer Treatment and Research (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Mathematical Biology Tumor Growth (5 papers). Tin Phan is often cited by papers focused on Prostate Cancer Treatment and Research (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Mathematical Biology Tumor Growth (5 papers). Tin Phan collaborates with scholars based in United States, Sweden and France. Tin Phan's co-authors include Yang Kuang, Yang Zhang, Tuan M. Nguyen, John G. Clohessy, Pier Paolo Pandolfi, Xiao‐Ou Zhang, Limei Wang, Eric J. Kostelich, Bruce Pell and Alan H. Bryce and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Science of The Total Environment and Water Research.

In The Last Decade

Tin Phan

27 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tin Phan United States	9	149	106	77	56	49	29	358
Sayaka Miura United States	14	289 1.9×	187 1.8×	53 0.7×	141 2.5×	38 0.8×	32	709
Megan E. Fitzgerald United States	11	318 2.1×	30 0.3×	26 0.3×	104 1.9×	42 0.9×	13	606
Matthijs Vynck Belgium	11	143 1.0×	47 0.4×	6 0.1×	64 1.1×	53 1.1×	25	407
Zhaohui Du China	8	85 0.6×	76 0.7×	16 0.2×	63 1.1×	23 0.5×	18	352
Sasaki Japan	15	165 1.1×	43 0.4×	10 0.1×	42 0.8×	67 1.4×	69	711
Hwijin Kim United States	8	99 0.7×	28 0.3×	12 0.2×	82 1.5×	8 0.2×	11	327
Liu S China	10	129 0.9×	37 0.3×	5 0.1×	29 0.5×	21 0.4×	80	344
K. Kawasaki Japan	5	188 1.3×	37 0.3×	134 1.7×	3 0.1×	22 0.4×	11	475
Fangqin Lin China	11	291 2.0×	99 0.9×	6 0.1×	9 0.2×	33 0.7×	17	512

Countries citing papers authored by Tin Phan

Since Specialization

Citations

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

Fields of papers citing papers by Tin Phan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tin Phan

This figure shows the co-authorship network connecting the top 25 collaborators of Tin Phan. A scholar is included among the top collaborators of Tin Phan 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 Tin Phan. Tin Phan 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

Phan, Tin, Giap Van Vu, & Ngo Quy Chau. (2025). Management of Chronic Obstructive Pulmonary Disease in Vietnam during the COVID-19 Period: Current Situation and Challenges. Tuberculosis & respiratory diseases. 88(2). 322–333.

Phan, Tin, Bruce Pell, Stanca M. Ciupe, et al.. (2025). Post-recovery viral shedding shapes wastewater-based epidemiological inferences. Communications Medicine. 5(1). 193–193.

Prater, Clay, Tin Phan, James J. Elser, & Punidan D. Jeyasingh. (2024). Understanding stoichiometric constraints on growth using resource use efficiency imbalances. Proceedings of the National Academy of Sciences. 121(19). e2319022121–e2319022121. 2 indexed citations

Phan, Tin, Carolin Zitzmann, Kara W Chew, et al.. (2024). Modeling the emergence of viral resistance for SARS-CoV-2 during treatment with an anti-spike monoclonal antibody. PLoS Pathogens. 20(4). e1011680–e1011680. 5 indexed citations

Phan, Tin, Jessica M. Conway, Sarafa A. Iyaniwura, et al.. (2024). Understanding early HIV-1 rebound dynamics following antiretroviral therapy interruption: The importance of effector cell expansion. PLoS Pathogens. 20(7). e1012236–e1012236. 6 indexed citations

Pell, Bruce, et al.. (2023). The emergence of a virus variant: dynamics of a competition model with cross-immunity time-delay validated by wastewater surveillance data for COVID-19. Journal of Mathematical Biology. 86(5). 63–63. 7 indexed citations

Farrell, Alex, Tin Phan, Christopher B. Brooke, Katia Koelle, & Ruian Ke. (2023). Semi-infectious particles contribute substantially to influenza virus within-host dynamics when infection is dominated by spatial structure. Virus Evolution. 9(1). vead020–vead020. 3 indexed citations

Phan, Tin, James J. Elser, & Yang Kuang. (2023). Rich Dynamics of a General Producer–Grazer Interaction Model under Shared Multiple Resource Limitations. Applied Sciences. 13(7). 4150–4150. 2 indexed citations

Phan, Tin, Bruce Pell, Anna Gitter, et al.. (2023). Making waves: Integrating wastewater surveillance with dynamic modeling to track and predict viral outbreaks. Water Research. 243. 120372–120372. 11 indexed citations

10.

Prater, Clay, Logan M. Peoples, Irakli Loladze, et al.. (2022). Revisiting the growth rate hypothesis: Towards a holistic stoichiometric understanding of growth. Ecology Letters. 25(10). 2324–2339. 39 indexed citations

11.

Phan, Tin, et al.. (2022). Dynamics and growth rate implications of ribosomes and mRNAs interaction in E. coli. Heliyon. 8(7). e09820–e09820. 3 indexed citations

12.

Phan, Tin, Bruce Pell, Anna Gitter, et al.. (2022). A simple SEIR-V model to estimate COVID-19 prevalence and predict SARS-CoV-2 transmission using wastewater-based surveillance data. The Science of The Total Environment. 857(Pt 1). 159326–159326. 31 indexed citations

13.

Phan, Tin, et al.. (2021). Modeling the synergistic properties of drugs in hormonal treatment for prostate cancer. Journal of Theoretical Biology. 514. 110570–110570. 6 indexed citations

14.

Zhang, Yang, Tuan M. Nguyen, Xiao‐Ou Zhang, et al.. (2021). Optimized RNA-targeting CRISPR/Cas13d technology outperforms shRNA in identifying functional circRNAs. Genome biology. 22(1). 41–41. 113 indexed citations

15.

DeMarino, Catherine, Maria Cowen, Michelle L. Pleet, et al.. (2020). Differences in Transcriptional Dynamics Between T-cells and Macrophages as Determined by a Three-State Mathematical Model. Scientific Reports. 10(1). 2227–2227. 6 indexed citations

16.

Wu, Zhimin, et al.. (2019). Predictability and identifiability assessment of models for prostate cancer under androgen suppression therapy. Mathematical Biosciences & Engineering. 16(5). 3512–3536. 22 indexed citations

17.

Phan, Tin, et al.. (2019). Modeling voting dynamics in a two-party system. Americanae (AECID Library). 27(1). 179–219. 1 indexed citations

18.

Phan, Tin, et al.. (2018). The Impact of Intermittent Androgen Suppression Therapy in Prostate Cancer Modeling. Applied Sciences. 9(1). 36–36. 12 indexed citations

19.

Phan, Tin, et al.. (2018). Dynamics and implications of models for intermittent androgen suppression therapy. Mathematical Biosciences & Engineering. 16(1). 187–204. 10 indexed citations

20.

Pell, Bruce, Tin Phan, Erica M. Rutter, Gerardo Chowell, & Yang Kuang. (2018). Simple multi-scale modeling of the transmission dynamics of the 1905 plague epidemic in Bombay. Mathematical Biosciences. 301. 83–92. 4 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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