Yuzhou Fan

420 total citations
9 papers, 335 citations indexed

About

Yuzhou Fan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Yuzhou Fan has authored 9 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Oncology. Recurrent topics in Yuzhou Fan's work include Viral Infectious Diseases and Gene Expression in Insects (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Protein purification and stability (4 papers). Yuzhou Fan is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Protein purification and stability (4 papers). Yuzhou Fan collaborates with scholars based in Denmark, United States and United Kingdom. Yuzhou Fan's co-authors include Dietmar Weilguny, Ioscani Jiménez del Val, Mikael Rørdam Andersen, Jette W. Sen, Cleo Kontoravdi, Christian Müller, Helene Faustrup Kildegaard, Michael J. Betenbaugh, Deniz Baycin‐Hizal and Anne Mathilde Lund and has published in prestigious journals such as Biotechnology and Bioengineering, Biotechnology Journal and Methods in molecular biology.

In The Last Decade

Yuzhou Fan

9 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuzhou Fan Denmark	6	316	157	30	29	26	9	335
Jong Kwang Hong South Korea	11	302 1.0×	79 0.5×	40 1.3×	38 1.3×	48 1.8×	19	337
Sarantos Kyriakopoulos United Kingdom	11	385 1.2×	102 0.6×	58 1.9×	40 1.4×	44 1.7×	14	423
Gregg Nyberg United States	6	261 0.8×	80 0.5×	21 0.7×	43 1.5×	35 1.3×	10	289
Anurag Khetan United States	11	392 1.2×	107 0.7×	83 2.8×	45 1.6×	69 2.7×	33	457
Catherine E.M. Hogwood United Kingdom	6	328 1.0×	200 1.3×	28 0.9×	12 0.4×	20 0.8×	7	343
Jochen Schaub Germany	10	407 1.3×	37 0.2×	54 1.8×	29 1.0×	60 2.3×	14	438
Christoph Clemens Germany	8	262 0.8×	32 0.2×	47 1.6×	18 0.6×	38 1.5×	9	306
Bradley Snedecor United States	8	298 0.9×	91 0.6×	37 1.2×	24 0.8×	59 2.3×	8	321
Faraaz N.K. Yusufi Singapore	8	473 1.5×	51 0.3×	46 1.5×	41 1.4×	81 3.1×	10	483
Christopher Yu France	10	377 1.2×	210 1.3×	33 1.1×	13 0.4×	16 0.6×	12	429

Countries citing papers authored by Yuzhou Fan

Since Specialization

Citations

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

Fields of papers citing papers by Yuzhou Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuzhou Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuzhou Fan. A scholar is included among the top collaborators of Yuzhou Fan 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 Yuzhou Fan. Yuzhou Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Fan, Yuzhou, Daniel Ley, & Mikael Rørdam Andersen. (2017). Fed-Batch CHO Cell Culture for Lab-Scale Antibody Production. Methods in molecular biology. 1674. 147–161. 14 indexed citations

Fan, Yuzhou, Helene Faustrup Kildegaard, & Mikael Rørdam Andersen. (2017). Engineer Medium and Feed for Modulating N-Glycosylation of Recombinant Protein Production in CHO Cell Culture. Methods in molecular biology. 1603. 209–226. 3 indexed citations

Fan, Yuzhou, Helene Faustrup Kildegaard, & Mikael Rørdam Andersen. (2016). Trends and approaches in N-Glycosylation engineering in Chinese hamster ovary cell culture. 1 indexed citations

Val, Ioscani Jiménez del, Yuzhou Fan, & Dietmar Weilguny. (2016). Dynamics of immature mAb glycoform secretion during CHO cell culture: An integrated modelling framework. Biotechnology Journal. 11(5). 610–623. 49 indexed citations

Fan, Yuzhou, Ioscani Jiménez del Val, Christian Müller, et al.. (2015). A multi‐pronged investigation into the effect of glucose starvation and culture duration on fed‐batch CHO cell culture. Biotechnology and Bioengineering. 112(10). 2172–2184. 53 indexed citations

Fan, Yuzhou. (2015). N-Glycosylation optimization of recombinant antibodies in CHO cell through process and metabolic engineering. 3 indexed citations

Kildegaard, Helene Faustrup, et al.. (2015). Glycoprofiling effects of media additives on IgG produced by CHO cells in fed‐batch bioreactors. Biotechnology and Bioengineering. 113(2). 359–366. 36 indexed citations

Fan, Yuzhou, Ioscani Jiménez del Val, Christian Müller, et al.. (2014). Amino acid and glucose metabolism in fed‐batch CHO cell culture affects antibody production and glycosylation. Biotechnology and Bioengineering. 112(3). 521–535. 164 indexed citations

Kaas, Christian S., Yuzhou Fan, Dietmar Weilguny, et al.. (2014). Toward genome-scale models of the Chinese hamster ovary cells: incentives, status and perspectives. 2(5). 437–448. 12 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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