Sara Badr

690 total citations
39 papers, 477 citations indexed

About

Sara Badr is a scholar working on Control and Systems Engineering, Mechanical Engineering and Molecular Biology. According to data from OpenAlex, Sara Badr has authored 39 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 14 papers in Mechanical Engineering and 13 papers in Molecular Biology. Recurrent topics in Sara Badr's work include Viral Infectious Diseases and Gene Expression in Insects (11 papers), Process Optimization and Integration (11 papers) and Protein purification and stability (6 papers). Sara Badr is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (11 papers), Process Optimization and Integration (11 papers) and Protein purification and stability (6 papers). Sara Badr collaborates with scholars based in Japan, Switzerland and United States. Sara Badr's co-authors include Hirokazu Sugiyama, Stavros Papadokonstantakis, Meriç Ataman, Konrad Hungerbühler, Vassily Hatzimanikatis, Claire S. Adjiman, Alexandros Chremos, Amparo Galindo, Esther Forte and Panos Seferlis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy & Environmental Science and Scientific Reports.

In The Last Decade

Sara Badr

34 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Badr Japan 13 172 155 129 124 41 39 477
Deenesh K. Babi Denmark 9 61 0.4× 125 0.8× 302 2.3× 104 0.8× 62 1.5× 15 456
Patrick Lindner Germany 16 251 1.5× 196 1.3× 37 0.3× 22 0.2× 90 2.2× 52 758
Gabriel Contreras‐Zarazúa Mexico 13 56 0.3× 152 1.0× 250 1.9× 94 0.8× 40 1.0× 30 444
Juan José Quiroz‐Ramírez Mexico 16 165 1.0× 261 1.7× 391 3.0× 110 0.9× 41 1.0× 35 579
Vytautas Galvanauskas Lithuania 11 314 1.8× 90 0.6× 230 1.8× 23 0.2× 23 0.6× 48 455
José Antonio Vázquez-Castillo Mexico 10 55 0.3× 114 0.7× 279 2.2× 90 0.7× 20 0.5× 15 395
Ricardo Morales-Rodríguez Mexico 14 258 1.5× 412 2.7× 74 0.6× 33 0.3× 22 0.5× 31 639
Jorge M. Gómez Colombia 14 108 0.6× 161 1.0× 321 2.5× 113 0.9× 45 1.1× 42 598
Jae-Hwa Lee South Korea 13 123 0.7× 124 0.8× 81 0.6× 101 0.8× 115 2.8× 66 653
Yangyang Liu China 13 159 0.9× 67 0.4× 26 0.2× 52 0.4× 51 1.2× 70 571

Countries citing papers authored by Sara Badr

Since Specialization
Citations

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

Fields of papers citing papers by Sara Badr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Badr

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Badr. A scholar is included among the top collaborators of Sara Badr 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 Sara Badr. Sara Badr 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.
Hayashi, Yusuke, et al.. (2025). Impact of modeling and simulation on pharmaceutical process development. Current Opinion in Chemical Engineering. 47. 101093–101093. 2 indexed citations
2.
3.
Hayashi, Yusuke, et al.. (2024). Roles of mechanistic, data-driven, and hybrid modeling approaches for pharmaceutical process design and operation. Current Opinion in Chemical Engineering. 44. 101019–101019. 12 indexed citations
4.
Badr, Sara, et al.. (2024). Scenario Analysis of Vaccine Supply for COVID-19 in Japan Using Mathematical Models of Infectious Diseases. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 57(1). 2 indexed citations
5.
Hayashi, Yusuke, Sara Badr, Kazuya Okamoto, et al.. (2024). Kinetic Study and Model-Based Design Space Determination for a Drug Substance Flow Synthesis Using an Amination Reaction via Nucleophilic Aromatic Substitution. Organic Process Research & Development. 28(5). 1793–1805. 2 indexed citations
6.
Tanabe, Shuichi, et al.. (2023). Surrogate modeling of dissolution behavior toward efficient design of tablet manufacturing processes. Computers & Chemical Engineering. 171. 108141–108141. 14 indexed citations
8.
Udugama, Isuru A., et al.. (2023). The role of process systems engineering in applying quality by design (QbD) in mesenchymal stem cell production. Computers & Chemical Engineering. 172. 108144–108144. 5 indexed citations
9.
Hayashi, Yusuke, Sara Badr, Kazuya Okamoto, et al.. (2023). Mechanistic insights into amination via nucleophilic aromatic substitution. Reaction Chemistry & Engineering. 8(8). 2060–2070. 4 indexed citations
10.
Hayashi, Yusuke, Sara Badr, Kazuya Okamoto, et al.. (2023). Hybrid Modeling of an Active Pharmaceutical Ingredient Flow Synthesis in a Ring-Opening Reaction of an Epoxide with a Grignard Reagent. Industrial & Engineering Chemistry Research. 62(43). 17824–17834. 4 indexed citations
11.
Badr, Sara, et al.. (2022). Hybrid Modeling of CHO Cell Cultivation in Monoclonal Antibody Production with an Impurity Generation Module. Industrial & Engineering Chemistry Research. 61(40). 14898–14909. 21 indexed citations
12.
Hayashi, Yusuke, et al.. (2022). Impact of solvent selection on batch and flow syntheses for heterogeneous hydrogenation in drug substance manufacturing: A model-based analysis. Process Safety and Environmental Protection. 189. 156–166. 5 indexed citations
13.
Badr, Sara, et al.. (2022). Data-Driven Approach toward Long-Term Equipment Condition Assessment in Sterile Drug Product Manufacturing. ACS Omega. 7(41). 36415–36426. 2 indexed citations
14.
Amasawa, Eri, et al.. (2021). Cost–Benefit Analysis of Monoclonal Antibody Cultivation Scenarios in Terms of Life Cycle Environmental Impact and Operating Cost. ACS Sustainable Chemistry & Engineering. 9(42). 14012–14021. 26 indexed citations
15.
Badr, Sara, et al.. (2021). Analysis of the Effects of Process Parameters on Start-Up Operation in Continuous Wet Granulation. Processes. 9(9). 1502–1502. 10 indexed citations
16.
Yamada, Masahiro, et al.. (2019). Economic Model for Lot-Size Determination in Pharmaceutical Injectable Manufacturing. Journal of Pharmaceutical Innovation. 16(1). 38–52. 3 indexed citations
18.
Badr, Sara, et al.. (2018). Alternative generation and multiobjective evaluation using a design framework: Case study on sterile filling processes of biopharmaceuticals. Computers & Chemical Engineering. 123. 286–299. 7 indexed citations
19.
Tan, Jully, et al.. (2018). A heuristic-based technique for carbon footprint reduction for the production of multiple products. SHILAP Revista de lepidopterología.
20.
Παπαδόπουλος, Αθανάσιος Ι., Sara Badr, Alexandros Chremos, et al.. (2014). Efficient Screening and Selection of Post-Combustion CO2 Capture Solvents. SHILAP Revista de lepidopterología. 54 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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