Ting Chung

765 total citations
9 papers, 602 citations indexed

About

Ting Chung is a scholar working on Surgery, Molecular Biology and Spectroscopy. According to data from OpenAlex, Ting Chung has authored 9 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Molecular Biology and 4 papers in Spectroscopy. Recurrent topics in Ting Chung's work include Advanced Proteomics Techniques and Applications (4 papers), Bladder and Urothelial Cancer Treatments (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Ting Chung is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Bladder and Urothelial Cancer Treatments (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Ting Chung collaborates with scholars based in Taiwan, United Kingdom and France. Ting Chung's co-authors include Yi‐Ting Chen, Yu‐Sun Chang, Chih‐Ching Wu, Chien‐Lun Chen, Jau‐Song Yu, Hsiao‐Wei Chen, Cheng-Han Tsai, Chia‐Wei Hsu, Chi-De Chen and Phei‐Lang Chang and has published in prestigious journals such as Molecular & Cellular Proteomics, Theranostics and Journal of Proteome Research.

In The Last Decade

Ting Chung

9 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ting Chung Taiwan	8	349	193	186	161	113	9	602
Keyur Patel United States	8	385 1.1×	246 1.3×	57 0.3×	80 0.5×	65 0.6×	27	690
Verónica M. Dardé Spain	15	241 0.7×	219 1.1×	81 0.4×	124 0.8×	48 0.4×	26	549
Y. H. Fan China	14	366 1.0×	84 0.4×	84 0.5×	283 1.8×	72 0.6×	34	607
Hye-Jin Sung South Korea	10	350 1.0×	112 0.6×	37 0.2×	94 0.6×	99 0.9×	12	534
Bilan Li China	14	295 0.8×	48 0.2×	113 0.6×	111 0.7×	236 2.1×	20	613
Rajiv Dua United Kingdom	10	161 0.5×	42 0.2×	142 0.8×	118 0.7×	110 1.0×	14	582
Yasushi Shibasaki Japan	10	137 0.4×	40 0.2×	99 0.5×	108 0.7×	98 0.9×	27	422
Joanna Kiśluk Poland	11	174 0.5×	43 0.2×	66 0.4×	112 0.7×	84 0.7×	27	367
Marta Lomnytska Sweden	14	352 1.0×	36 0.2×	77 0.4×	126 0.8×	69 0.6×	21	579
Sheeno Thyparambil United States	12	401 1.1×	126 0.7×	37 0.2×	90 0.6×	73 0.6×	41	614

Countries citing papers authored by Ting Chung

Since Specialization

Citations

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

Fields of papers citing papers by Ting Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Chung. A scholar is included among the top collaborators of Ting Chung 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 Ting Chung. Ting Chung 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

Chung, Ting, Zainab Bascal, Sean L. Willis, et al.. (2019). Evaluation of novel formulations for transarterial chemoembolization: combining elements of Lipiodol emulsions with Drug-eluting Beads. Theranostics. 9(19). 5626–5641. 15 indexed citations

Chen, Chien‐Lun, Ting Chung, Chih‐Ching Wu, et al.. (2015). Comparative Tissue Proteomics of Microdissected Specimens Reveals Novel Candidate Biomarkers of Bladder Cancer. Molecular & Cellular Proteomics. 14(9). 2466–2478. 49 indexed citations

Chung, Ting, Hong‐Lin Chan, Ming-Derg Lai, et al.. (2014). Induction of Indoleamine 2,3-dioxygenase (IDO) Enzymatic Activity Contributes to Interferon-Gamma Induced Apoptosis and Death Receptor 5 Expression in Human Non-small Cell Lung Cancer Cells. Asian Pacific Journal of Cancer Prevention. 15(18). 7995–8001. 13 indexed citations

Chen, Chien‐Lun, Cheng-Han Tsai, Chih‐Ching Wu, et al.. (2013). Identification of potential bladder cancer markers in urine by abundant-protein depletion coupled with quantitative proteomics. Journal of Proteomics. 85. 28–43. 89 indexed citations

Chen, Yi‐Ting, Hsiao‐Wei Chen, Dominik Domański, et al.. (2012). Multiplexed quantification of 63 proteins in human urine by multiple reaction monitoring-based mass spectrometry for discovery of potential bladder cancer biomarkers. Journal of Proteomics. 75(12). 3529–3545. 117 indexed citations

Hecq, Jean‐Daniel, et al.. (2012). Doxorubicin-loaded drug-eluting beads (DC Bead®) for use in transarterial chemoembolization: A stability assessment. Journal of Oncology Pharmacy Practice. 19(1). 65–74. 22 indexed citations

Chen, Chien‐Lun, Ping Tang, Kun‐Yi Chien, et al.. (2012). Comparative and Targeted Proteomic Analyses of Urinary Microparticles from Bladder Cancer and Hernia Patients. Journal of Proteome Research. 11(12). 5611–5629. 171 indexed citations

Chen, Yi‐Ting, Chien‐Lun Chen, Hsiao‐Wei Chen, et al.. (2010). Discovery of Novel Bladder Cancer Biomarkers by Comparative Urine Proteomics Using iTRAQ Technology. Journal of Proteome Research. 9(11). 5803–5815. 120 indexed citations

Rekhter, Yakov, et al.. (2003). Multi-area MPLS Traffic Engineering. 6 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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