Suzanne S. Farid

4.2k total citations
99 papers, 2.9k citations indexed

About

Suzanne S. Farid is a scholar working on Molecular Biology, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Suzanne S. Farid has authored 99 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 24 papers in Biomedical Engineering and 18 papers in Control and Systems Engineering. Recurrent topics in Suzanne S. Farid's work include Viral Infectious Diseases and Gene Expression in Insects (56 papers), Protein purification and stability (37 papers) and Process Optimization and Integration (15 papers). Suzanne S. Farid is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (56 papers), Protein purification and stability (37 papers) and Process Optimization and Integration (15 papers). Suzanne S. Farid collaborates with scholars based in United Kingdom, United States and Singapore. Suzanne S. Farid's co-authors include Nigel J. Titchener‐Hooker, Sa V. Ho, James Pollock, John Washbrook, Jon Coffman, Ana S. Simaria, Lazaros G. Papageorgiou, Stephen Goldrick, Sally Hassan and Kim Warren and has published in prestigious journals such as Journal of Membrane Science, Journal of Chromatography A and Industrial & Engineering Chemistry Research.

In The Last Decade

Suzanne S. Farid

96 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suzanne S. Farid United Kingdom 29 1.9k 751 574 388 287 99 2.9k
Jin‐Kuk Kim South Korea 27 1.2k 0.6× 422 0.6× 55 0.1× 595 1.5× 189 0.7× 109 3.5k
Xiaochuan Yang United States 31 834 0.4× 968 1.3× 50 0.1× 183 0.5× 154 0.5× 83 3.1k
Cleo Kontoravdi United Kingdom 31 2.2k 1.1× 407 0.5× 626 1.1× 147 0.4× 92 0.3× 112 2.7k
Nigel J. Titchener‐Hooker United Kingdom 28 1.7k 0.9× 711 0.9× 428 0.7× 268 0.7× 82 0.3× 142 2.5k
Hao Yang China 27 1.1k 0.6× 296 0.4× 270 0.5× 26 0.1× 207 0.7× 139 2.6k
Ralf Pörtner Germany 26 1.2k 0.6× 875 1.2× 78 0.1× 130 0.3× 92 0.3× 142 2.3k
Seongkyu Yoon United States 27 1.2k 0.6× 342 0.5× 266 0.5× 555 1.4× 87 0.3× 107 2.2k
Xindong Liu China 32 846 0.4× 70 0.1× 238 0.4× 543 1.4× 490 1.7× 82 3.7k
Chenghai Li China 25 691 0.4× 737 1.0× 29 0.1× 88 0.2× 317 1.1× 63 2.5k
Matthew Baker United Kingdom 22 834 0.4× 216 0.3× 775 1.4× 37 0.1× 245 0.9× 52 3.8k

Countries citing papers authored by Suzanne S. Farid

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne S. Farid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne S. Farid. 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 Suzanne S. Farid. The network helps show where Suzanne S. Farid may publish in the future.

Co-authorship network of co-authors of Suzanne S. Farid

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne S. Farid. A scholar is included among the top collaborators of Suzanne S. Farid 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 Suzanne S. Farid. Suzanne S. Farid 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.
2.
Farid, Suzanne S., et al.. (2023). Impact of ethanol on continuous inline diafiltration of liposomal drug products. Biotechnology Journal. 18(11). e2300194–e2300194. 3 indexed citations
3.
Linke, Thomas, et al.. (2023). Process economics evaluation and optimization of adeno‐associated virus downstream processing. Biotechnology and Bioengineering. 121(8). 2435–2448. 17 indexed citations
4.
Goldrick, Stephen, Nicholas J. Bond, Diane Hatton, et al.. (2023). Next-generation cell line selection methodology leveraging data lakes, natural language generation and advanced data analytics. Frontiers in Bioengineering and Biotechnology. 11. 1160223–1160223. 2 indexed citations
5.
Coffman, Jon, Mark Brower, Lisa Connell‐Crowley, et al.. (2021). A common framework for integrated and continuous biomanufacturing. Biotechnology and Bioengineering. 118(4). 1735–1749. 57 indexed citations
6.
Farid, Suzanne S., et al.. (2020). Process economics evaluation of cell‐free synthesis for the commercial manufacture of antibody drug conjugates. Biotechnology Journal. 16(4). e2000238–e2000238. 16 indexed citations
7.
Goldrick, Stephen, et al.. (2019). High throughput process development workflow with advanced decision-support for antibody purification. Journal of Chromatography A. 1596. 104–116. 12 indexed citations
8.
Farid, Suzanne S., et al.. (2014). Continuous bioprocessing: The real thing this time?. mAbs. 6(6). 1357–1361. 15 indexed citations
9.
Davidson, Andrew D. & Suzanne S. Farid. (2014). Innovation in biopharmaceutical manufacture. UCL Discovery (University College London). 4 indexed citations
10.
Liu, Songsong, Ana S. Simaria, Suzanne S. Farid, & Lazaros G. Papageorgiou. (2014). Optimising chromatography strategies of antibody purification processes by mixed integer fractional programming techniques. Computers & Chemical Engineering. 68. 151–164. 17 indexed citations
11.
Farid, Suzanne S., et al.. (2014). Human pluripotent stem cell‐derived products: Advances towards robust, scalable and cost‐effective manufacturing strategies. Biotechnology Journal. 10(1). 83–95. 77 indexed citations
12.
Titchener‐Hooker, Nigel J., et al.. (2014). Representative mammalian cell culture test materials for assessment of primary recovery technologies: A rapid method with industrial applicability. Biotechnology Journal. 10(1). 162–170. 4 indexed citations
13.
Simaria, Ana S., et al.. (2012). Decisional tool to assess current and future process robustness in an antibody purification facility. Biotechnology Progress. 28(4). 1019–1028. 18 indexed citations
14.
Farid, Suzanne S.. (2008). Economic drivers and trade-offs in antibody purification processes. UCL Discovery (University College London). 16 indexed citations
15.
Farid, Suzanne S.. (2006). Established Bioprocesses for Producing Antibodies as a Basis for Future Planning. Advances in biochemical engineering, biotechnology. 101. 1–42. 36 indexed citations
16.
Bingham, N. S., et al.. (2006). Shear stress analysis of mammalian cell suspensions for prediction of industrial centrifugation and its verification. Biotechnology and Bioengineering. 95(3). 483–491. 83 indexed citations
17.
Washbrook, John, et al.. (2005). A software tool to assist business-process decision-making in the bio-pharmaceutical industry (vol 20, pg 1096, 2004). UCL Discovery (University College London). 1 indexed citations
18.
Farid, Suzanne S., John Washbrook, & Nigel J. Titchener‐Hooker. (2005). Decision-Support Tool for Assessing Biomanufacturing Strategies under Uncertainty: Stainless Steel versus Disposable Equipment for Clinical Trial Material Preparation. Biotechnology Progress. 21(2). 486–497. 77 indexed citations
19.
Farid, Suzanne S., John Washbrook, & Nigel J. Titchener‐Hooker. (2005). Combining Multiple Quantitative and Qualitative Goals When Assessing Biomanufacturing Strategies under Uncertainty. Biotechnology Progress. 21(4). 1183–1191. 26 indexed citations
20.
Mustafa, Mustafa Abbas, et al.. (2004). . Biotechnology Progress. 20(4). 1096–1102. 15 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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