Tingwan Sun

2.0k total citations · 1 hit paper
20 papers, 1.5k citations indexed

About

Tingwan Sun is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Tingwan Sun has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Physiology. Recurrent topics in Tingwan Sun's work include Monoclonal and Polyclonal Antibodies Research (13 papers), Protein purification and stability (12 papers) and Advanced Biosensing Techniques and Applications (4 papers). Tingwan Sun is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (13 papers), Protein purification and stability (12 papers) and Advanced Biosensing Techniques and Applications (4 papers). Tingwan Sun collaborates with scholars based in United States, India and Germany. Tingwan Sun's co-authors include Mingui Fu, Angie L. Bookout, David J. Mangelsdorf, Yingda Xu, Isabelle Caffry, Tushar Jain, Heather Lynaugh, Yuan Cao, Steven A. Kliewer and Yao Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Brain.

In The Last Decade

Tingwan Sun

19 papers receiving 1.4k citations

Hit Papers

Biophysical properties of the clinical-stage antibody lan... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingwan Sun United States 16 1.2k 766 234 200 180 20 1.5k
Chris Spahr United States 20 1.7k 1.5× 287 0.4× 269 1.1× 88 0.4× 130 0.7× 36 2.4k
Peck-Sun Lin United States 18 595 0.5× 339 0.4× 89 0.4× 131 0.7× 105 0.6× 36 1.3k
Yoshito Numata Japan 23 627 0.5× 239 0.3× 165 0.7× 104 0.5× 157 0.9× 46 1.2k
Christoph Stingl Netherlands 25 1.2k 1.0× 123 0.2× 138 0.6× 123 0.6× 138 0.8× 63 1.9k
Jintang He United States 22 800 0.7× 201 0.3× 178 0.8× 131 0.7× 75 0.4× 40 1.3k
Brian J. Leibowitz United States 20 659 0.6× 258 0.3× 149 0.6× 211 1.1× 55 0.3× 36 1.3k
Takuro Ariga Japan 20 770 0.6× 143 0.2× 229 1.0× 83 0.4× 160 0.9× 88 1.6k
Eric S. Day United States 16 766 0.6× 211 0.3× 395 1.7× 144 0.7× 35 0.2× 25 1.4k
C. Kan United States 8 915 0.8× 151 0.2× 266 1.1× 144 0.7× 172 1.0× 11 1.3k
Annick Verhee Belgium 24 651 0.5× 187 0.2× 567 2.4× 86 0.4× 269 1.5× 41 1.7k

Countries citing papers authored by Tingwan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Tingwan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingwan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Tingwan Sun. A scholar is included among the top collaborators of Tingwan Sun 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 Tingwan Sun. Tingwan Sun 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.
Mix, Kalie A., Tingwan Sun, Brian E. Hall, et al.. (2025). Rapid affinity-based purification of multi-specific antibodies using Kappa Select and Protein L. mAbs. 17(1). 2483272–2483272.
2.
Sun, Tingwan, et al.. (2023). Photocatalytic performance of inverse-opal g-carbon nitride and bismuth oxide compositing microstructures. Journal of Porous Materials. 30(6). 2121–2128. 3 indexed citations
3.
Stern, Andrew M., Lei Liu, Shan‐Xue Jin, et al.. (2022). A calcium-sensitive antibody isolates soluble amyloid-β aggregates and fibrils from Alzheimer’s disease brain. Brain. 145(7). 2528–2540. 6 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.
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.
Kelly, Ryan L., Yao Yu, Tingwan Sun, et al.. (2016). Target-independent variable region mediated effects on antibody clearance can be FcRn independent. mAbs. 8(7). 1269–1275. 39 indexed citations
9.
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
10.
Yu, Yao, Heather Lynaugh, Michael E. Brown, et al.. (2015). Understanding ForteBio’s Sensors for High-Throughput Kinetic and Epitope Screening for Purified Antibodies and Yeast Culture Supernatant. SLAS DISCOVERY. 21(1). 88–95. 12 indexed citations
11.
Kelly, Ryan L., Tingwan Sun, Tushar Jain, et al.. (2015). High throughput cross-interaction measures for human IgG1 antibodies correlate with clearance rates in mice. mAbs. 7(4). 770–777. 66 indexed citations
12.
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
13.
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
14.
Sun, Tingwan, et al.. (2013). High throughput detection of antibody self-interaction by bio-layer interferometry. mAbs. 5(6). 838–841. 43 indexed citations
15.
Zhang, Jifeng, Yuan Zhang, Tingwan Sun, et al.. (2013). Dietary obesity-induced Egr-1 in adipocytes facilitates energy storage via suppression of FOXC2. Scientific Reports. 3(1). 1476–1476. 46 indexed citations
16.
Wlodarchak, Nathan, Feng Guo, Kenneth A. Satyshur, et al.. (2013). Structure of the Ca2+-dependent PP2A heterotrimer and insights into Cdc6 dephosphorylation. Cell Research. 23(7). 931–946. 53 indexed citations
17.
Jeong, Yangsik, Mingui Fu, Angie L. Bookout, et al.. (2009). Expression Profiling of Nuclear Receptors in Human and Mouse Embryonic Stem Cells. Molecular Endocrinology. 23(5). 724–733. 54 indexed citations
18.
Sun, Tingwan, Mingui Fu, Angie L. Bookout, Steven A. Kliewer, & David J. Mangelsdorf. (2009). MicroRNA let-7 Regulates 3T3-L1 Adipogenesis. Molecular Endocrinology. 23(6). 925–931. 231 indexed citations
19.
Fu, Mingui, Tingwan Sun, Angie L. Bookout, et al.. (2005). A Nuclear Receptor Atlas: 3T3-L1 Adipogenesis. Molecular Endocrinology. 19(10). 2437–2450. 189 indexed citations
20.
Han, Ying, et al.. (2003). Immobilized Peptides as High-Affinity Capture Agents for Self-Associating Proteins. Chemistry & Biology. 10(3). 251–259. 26 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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