Yingda Xu

4.3k total citations · 2 hit papers
40 papers, 3.3k citations indexed

About

Yingda Xu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Yingda Xu has authored 40 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 21 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Spectroscopy. Recurrent topics in Yingda Xu's work include Monoclonal and Polyclonal Antibodies Research (20 papers), Protein purification and stability (18 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Yingda Xu is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (20 papers), Protein purification and stability (18 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Yingda Xu collaborates with scholars based in United States, China and India. Yingda Xu's co-authors include Yingming Zhao, Sung Chan Kim, Robert W. Sprung, Tzuling Cheng, Xiang‐Jiao Yang, Michael A. White, Yoonjung Kho, Jimin Pei, Hao Xiao and Yue Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Yingda Xu

39 papers receiving 3.2k citations

Hit Papers

Substrate and Functional Diversity of Lysine Acetylation ... 2006 2026 2012 2019 2006 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingda Xu United States 23 2.5k 1.2k 503 416 394 40 3.3k
Nicholas M. Riley United States 37 3.2k 1.3× 311 0.3× 662 1.3× 61 0.1× 1.3k 3.4× 74 4.2k
Shawn S.‐C. Li Canada 39 3.7k 1.4× 311 0.3× 641 1.3× 50 0.1× 235 0.6× 105 4.8k
Justin D. Blethrow United States 16 3.1k 1.2× 92 0.1× 509 1.0× 147 0.4× 643 1.6× 20 4.0k
Robert W. Sprung United States 16 2.5k 1.0× 75 0.1× 629 1.3× 608 1.5× 367 0.9× 29 3.3k
Eric Kuhn United States 18 1.9k 0.8× 234 0.2× 234 0.5× 27 0.1× 1.5k 3.8× 33 2.8k
Éric Bonneil Canada 40 3.4k 1.3× 200 0.2× 798 1.6× 25 0.1× 782 2.0× 104 4.8k
Yoonjung Kho United States 11 1.4k 0.6× 89 0.1× 373 0.7× 418 1.0× 219 0.6× 16 1.9k
Boris Steipe Germany 26 2.2k 0.9× 539 0.5× 203 0.4× 21 0.1× 104 0.3× 41 3.0k
Hao Jiang United States 20 1.3k 0.5× 111 0.1× 203 0.4× 40 0.1× 143 0.4× 66 2.4k
Konrad Büssow Germany 28 2.5k 1.0× 738 0.6× 299 0.6× 10 0.0× 354 0.9× 62 3.5k

Countries citing papers authored by Yingda Xu

Since Specialization
Citations

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

Fields of papers citing papers by Yingda Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingda Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingda Xu. A scholar is included among the top collaborators of Yingda Xu 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 Yingda Xu. Yingda Xu 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
2.
Liu, Cheng, et al.. (2023). Application of LV's distribution on the parameter estimation of multicomponent radar emitter signals. IET conference proceedings.. 2022(17). 653–656. 2 indexed citations
3.
Xu, Yingda & Jianming Wei. (2021). Deep Feature Fusion Based Dual Branch Network for X-ray Security Inspection Image Classification. Applied Sciences. 11(16). 7485–7485. 4 indexed citations
4.
Brown, Michael E., Daniel Bedinger, Asparouh Lilov, et al.. (2020). Assessing the binding properties of the anti-PD-1 antibody landscape using label-free biosensors. PLoS ONE. 15(3). e0229206–e0229206. 22 indexed citations
5.
Shehata, Laila, Daniel P. Maurer, Anna Z. Wec, et al.. (2019). Affinity Maturation Enhances Antibody Specificity but Compromises Conformational Stability. Cell Reports. 28(13). 3300–3308.e4. 68 indexed citations
6.
Lu, Xiaojun, R. Paul Nobrega, Heather Lynaugh, et al.. (2018). Deamidation and isomerization liability analysis of 131 clinical-stage antibodies. mAbs. 11(1). 45–57. 97 indexed citations
7.
Jain, Tushar, Tingwan Sun, Stéphanie Durand, et al.. (2017). Biophysical properties of the clinical-stage antibody landscape. Proceedings of the National Academy of Sciences. 114(5). 944–949. 412 indexed citations breakdown →
8.
Jain, Tushar, Asparouh Lilov, Irina Burnina, et al.. (2017). Prediction of delayed retention of antibodies in hydrophobic interaction chromatography from sequence using machine learning. Bioinformatics. 33(23). 3758–3766. 43 indexed citations
9.
Liu, Na, Yongan Sun, Yingda Xu, et al.. (2017). Midterm Blood Pressure Variability Is Associated with Poststroke Cognitive Impairment: A Prospective Cohort Study. Frontiers in Neurology. 8. 365–365. 18 indexed citations
10.
Yang, Nicole, Monique J. Kauke, Lucy Yang, et al.. (2017). Cytosolic delivery of siRNA by ultra-high affinity dsRNA binding proteins. Nucleic Acids Research. 45(13). 7602–7614. 11 indexed citations
11.
Liu, Na, Yongan Sun, Yingda Xu, et al.. (2016). Correlation between blood pressure variability and cognitive impairment in patients with acute ischemic stroke. 24(11). 992–997. 2 indexed citations
12.
Estep, Patricia A., Isabelle Caffry, Yao Yu, et al.. (2015). An alternative assay to hydrophobic interaction chromatography for high-throughput characterization of monoclonal antibodies. mAbs. 7(3). 553–561. 48 indexed citations
13.
Estep, Patricia A., et al.. (2013). High throughput solution-based measurement of antibody-antigen affinity and epitope binning. mAbs. 5(2). 270–278. 60 indexed citations
14.
Liu, Yuqi, Isabelle Caffry, Jiemin Wu, et al.. (2013). High-throughput screening for developability during early-stage antibody discovery using self-interaction nanoparticle spectroscopy. mAbs. 6(2). 483–492. 103 indexed citations
15.
Sun, Tingwan, et al.. (2013). High throughput detection of antibody self-interaction by bio-layer interferometry. mAbs. 5(6). 838–841. 43 indexed citations
16.
Xu, Yingda, William P. Roach, Tushar Jain, et al.. (2013). Addressing polyspecificity of antibodies selected from an in vitro yeast presentation system: a FACS-based, high-throughput selection and analytical tool. Protein Engineering Design and Selection. 26(10). 663–670. 119 indexed citations
17.
Xu, Bing-e, Seung‐Kuy Cha, Chih‐Jen Cheng, et al.. (2010). Serum and Glucocorticoid-induced Kinase (SGK) 1 and the Epithelial Sodium Channel Are Regulated by Multiple with No Lysine (WNK) Family Members. Journal of Biological Chemistry. 285(33). 25161–25167. 65 indexed citations
18.
Kim, Sung Chan, Robert W. Sprung, Yue Chen, et al.. (2006). Substrate and Functional Diversity of Lysine Acetylation Revealed by a Proteomics Survey. Molecular Cell. 23(4). 607–618. 1233 indexed citations breakdown →
19.
Kim, Sung Chan, Yue Chen, Shama P. Mirza, et al.. (2006). A Clean, More Efficient Method for In-Solution Digestion of Protein Mixtures without Detergent or Urea. Journal of Proteome Research. 5(12). 3446–3452. 90 indexed citations
20.
Xu, Yingda, Merlin L. Bruening, & J. Throck Watson. (2003). Non‐specific, on‐probe cleanup methods for MALDI‐MS samples. Mass Spectrometry Reviews. 22(6). 429–440. 81 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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