Anass Bouchnita

855 total citations
47 papers, 488 citations indexed

About

Anass Bouchnita is a scholar working on Modeling and Simulation, Pulmonary and Respiratory Medicine and Hematology. According to data from OpenAlex, Anass Bouchnita has authored 47 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Modeling and Simulation, 14 papers in Pulmonary and Respiratory Medicine and 13 papers in Hematology. Recurrent topics in Anass Bouchnita's work include Blood properties and coagulation (13 papers), COVID-19 epidemiological studies (10 papers) and Mathematical Biology Tumor Growth (7 papers). Anass Bouchnita is often cited by papers focused on Blood properties and coagulation (13 papers), COVID-19 epidemiological studies (10 papers) and Mathematical Biology Tumor Growth (7 papers). Anass Bouchnita collaborates with scholars based in France, United States and Russia. Anass Bouchnita's co-authors include Vitaly Volpert, Patrice Nony, Mark J. Koury, Alen Tosenberger, Gennady Bocharov, Andreas Meyerhans, Tatiana Galochkina, Andreas Hellander, Tamara K. Moyo and Pierre Miossec and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Anass Bouchnita

47 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anass Bouchnita France 14 173 101 98 72 54 47 488
Svetlana Bunimovich‐Mendrazitsky Israel 15 370 2.1× 35 0.3× 25 0.3× 157 2.2× 45 0.8× 49 712
Michelle Klein Netherlands 9 134 0.8× 33 0.3× 40 0.4× 126 1.8× 458 8.5× 16 746
Nancy Sun United States 10 79 0.5× 31 0.3× 28 0.3× 113 1.6× 461 8.5× 21 729
Mike Wang United States 11 68 0.4× 38 0.4× 25 0.3× 262 3.6× 629 11.6× 31 1.0k
Yunying Zhou China 9 13 0.1× 52 0.5× 58 0.6× 112 1.6× 96 1.8× 21 394
Jeremy Mason United States 15 64 0.4× 121 1.2× 7 0.1× 151 2.1× 49 0.9× 33 621
Zhenfeng Shi China 11 123 0.7× 72 0.7× 3 0.0× 83 1.2× 75 1.4× 41 448
Raavi Gupta United States 13 12 0.1× 85 0.8× 19 0.2× 86 1.2× 124 2.3× 55 593
K. Waalen Norway 17 32 0.2× 16 0.2× 50 0.5× 96 1.3× 83 1.5× 34 740
Eric Vail United States 11 25 0.1× 71 0.7× 6 0.1× 106 1.5× 264 4.9× 36 468

Countries citing papers authored by Anass Bouchnita

Since Specialization
Citations

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

Fields of papers citing papers by Anass Bouchnita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anass Bouchnita

This figure shows the co-authorship network connecting the top 25 collaborators of Anass Bouchnita. A scholar is included among the top collaborators of Anass Bouchnita 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 Anass Bouchnita. Anass Bouchnita 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.
Bi, Kaiming, et al.. (2025). Annual Hospitalizations for COVID-19, Influenza, and Respiratory Syncytial Virus, United States, 2023–2024. Emerging infectious diseases. 31(3). 636–638. 2 indexed citations
2.
Bouchnita, Anass, et al.. (2025). The interplay between evolutionary and immunological dynamics regulates virus variant emergence and competition. Mathematical Modelling of Natural Phenomena. 20. 14–14. 1 indexed citations
3.
Bouchnita, Anass. (2025). Genotype-Structured Modeling of Variant Emergence and Its Impact on Virus Infection. Mathematics. 13(1). 167–167. 1 indexed citations
4.
Bouchnita, Anass & Behzad Djafari Rouhani. (2024). Integrating Genomic, Climatic, and Immunological Factors to Analyze Seasonal Patterns of Influenza Variants. Symmetry. 16(8). 943–943. 3 indexed citations
5.
Bouchnita, Anass, et al.. (2024). Multiphase patient-specific simulations to study fibrillation-induced thrombosis in the left atrial appendage. Physics of Fluids. 36(7). 4 indexed citations
6.
Bouchnita, Anass, et al.. (2023). Thrombin Generation Thresholds for Coagulation Initiation under Flow. Axioms. 12(9). 873–873. 3 indexed citations
7.
Tokarev, A., et al.. (2023). Modelling of the Innate and Adaptive Immune Response to SARS Viral Infection, Cytokine Storm and Vaccination. Vaccines. 11(1). 127–127. 11 indexed citations
8.
9.
Bouchnita, Anass, et al.. (2023). Combining Computational Modelling and Machine Learning to Identify COVID-19 Patients with a High Thromboembolism Risk. Mathematics. 11(2). 289–289. 4 indexed citations
10.
Tesařová, Markéta, Lucia Mancini, Rok Kostanjšek, et al.. (2022). Living in darkness: Exploring adaptation of Proteus anguinus in 3 dimensions by X-ray imaging. GigaScience. 11. 6 indexed citations
11.
Bouderlique, Thibault, Julian Petersen, Louis Faure, et al.. (2022). Surface flow for colonial integration in reef-building corals. Current Biology. 32(12). 2596–2609.e7. 14 indexed citations
12.
Kaucká, Markéta, Alberto Joven, Markéta Tesařová, et al.. (2022). Altered developmental programs and oriented cell divisions lead to bulky bones during salamander limb regeneration. Nature Communications. 13(1). 6949–6949. 11 indexed citations
13.
14.
Bouchnita, Anass, et al.. (2021). Mathematical Modeling Predicts That Strict Social Distancing Measures Would Be Needed to Shorten the Duration of Waves of COVID-19 Infections in Vietnam. Frontiers in Public Health. 8. 559693–559693. 7 indexed citations
15.
Bouchnita, Anass, Stefan Hellander, & Andreas Hellander. (2019). A 3D Multiscale Model to Explore the Role of EGFR Overexpression in Tumourigenesis. Bulletin of Mathematical Biology. 81(7). 2323–2344. 4 indexed citations
16.
Bouchnita, Anass, et al.. (2019). Spatial Lymphocyte Dynamics in Lymph Nodes Predicts the Cytotoxic T Cell Frequency Needed for HIV Infection Control. Frontiers in Immunology. 10. 1213–1213. 8 indexed citations
17.
Bouchnita, Anass, et al.. (2019). Mathematical Modeling Reveals That the Administration of EGF Can Promote the Elimination of Lymph Node Metastases by PD-1/PD-L1 Blockade. Frontiers in Bioengineering and Biotechnology. 7. 104–104. 17 indexed citations
18.
Bouchnita, Anass, et al.. (2017). A Hybrid Computation Model to Describe the Progression of Multiple Myeloma and Its Intra-Clonal Heterogeneity. Computation. 5(1). 16–16. 13 indexed citations
19.
Moyo, Tamara K., et al.. (2015). Effects of Bone Marrow Infiltration By Multiple Myeloma on Erythropoiesis. Blood. 126(23). 2143–2143. 3 indexed citations
20.
Bouchnita, Anass, Alen Tosenberger, & Vitaly Volpert. (2015). On the regimes of blood coagulation. Applied Mathematics Letters. 51. 74–79. 17 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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