Nhan T. Pham

659 total citations
26 papers, 469 citations indexed

About

Nhan T. Pham is a scholar working on Molecular Biology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nhan T. Pham has authored 26 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nhan T. Pham's work include Computational Drug Discovery Methods (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Protein Degradation and Inhibitors (3 papers). Nhan T. Pham is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Protein Degradation and Inhibitors (3 papers). Nhan T. Pham collaborates with scholars based in United Kingdom, United States and Germany. Nhan T. Pham's co-authors include Manfred Auer, Wilson C. K. Poon, Sabine L. Flitsch, Steven Shave, Laurence G. Wilson, Alexander Winkler, Tanja Schilling, Jana Schwarz‐Linek, Yue Shen and Yun Wang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Analytical Chemistry.

In The Last Decade

Nhan T. Pham

23 papers receiving 465 citations

Peers

Nhan T. Pham

RNMI

Susmita Sarkar India

Youzhong Guo United States

Anna M. Varizhuk Russia

Galina E. Pozmogova Russia

Marcus Bäck Sweden

Kelly L. Robertson United States

Kadi L. Saar United Kingdom

Shuji Takeda Japan

Jung‐Hyun Na South Korea

Shinji Sueda Japan

Susmita Sarkar India

Nhan T. Pham

283 ×0.8

34 ×0.4

140 ×2.7

54 ×1.3

RNMI

33 ×0.9

Citations per year, relative to Nhan T. Pham Nhan T. Pham (= 1×) peers Susmita Sarkar

Countries citing papers authored by Nhan T. Pham

Since Specialization

Citations

This map shows the geographic impact of Nhan T. Pham'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 Nhan T. Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nhan T. Pham more than expected).

Fields of papers citing papers by Nhan T. Pham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nhan T. Pham. 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 Nhan T. Pham. The network helps show where Nhan T. Pham may publish in the future.

Co-authorship network of co-authors of Nhan T. Pham

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

All Works

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20 of 20 papers shown

Pham, Nhan T., et al.. (2025). Tear-fluid-derived biomarkers of ocular complications in diabetes: a systematic review and meta-analysis. BMC Medicine. 23(1). 84–84. 3 indexed citations

Shave, Steven, Nhan T. Pham, Richard Elliott, et al.. (2025). Cellular Activity of CQWW Nullomer-Derived Peptides. ACS Omega. 10(7). 6794–6800.

Meyer, Dawn, Kenneth V. Snyder, Roberta de Souza Santos, et al.. (2024). Multicenter comparison using two AI stroke CT perfusion software packages for determining thrombectomy eligibility. Journal of Stroke and Cerebrovascular Diseases. 33(7). 107750–107750. 2 indexed citations

Pham, Nhan T., Steven Shave, Daniel J. St‐Cyr, et al.. (2024). A Novel Confocal Scanning Protein–Protein Interaction Assay (PPI-CONA) Reveals Exceptional Selectivity and Specificity of CC0651, a Small Molecule Binding Enhancer of the Weak Interaction between the E2 Ubiquitin-Conjugating Enzyme CDC34A and Ubiquitin. Bioconjugate Chemistry. 35(9). 1441–1449.

Tollis, Sylvain, Nhan T. Pham, Yijing Zheng, et al.. (2023). Reduction in Nuclear Size by DHRS7 in Prostate Cancer Cells and by Estradiol Propionate in DHRS7-Depleted Cells. Cells. 13(1). 57–57.

Shave, Steven, Nhan T. Pham, & Manfred Auer. (2022). CLAffinity: A Software Tool for Identification of Optimum Ligand Affinity for Competition-Based Primary Screens. Journal of Chemical Information and Modeling. 62(10). 2264–2268. 2 indexed citations

Tollis, Sylvain, Nhan T. Pham, Steven Shave, et al.. (2022). Chemical Interrogation of Nuclear Size Identifies Compounds with Cancer Cell Line-Specific Effects on Migration and Invasion. ACS Chemical Biology. 17(3). 680–700. 16 indexed citations

Choudhury, Nila Roy, Nhan T. Pham, David A. Kelly, et al.. (2021). RNA pull-down confocal nanoscanning (RP-CONA) detects quercetin as pri-miR-7/HuR interaction inhibitor that decreases α-synuclein levels. Nucleic Acids Research. 49(11). 6456–6473. 16 indexed citations

Shave, Steven, et al.. (2021). PyBindingCurve, Simulation, and Curve Fitting to Complex Binding Systems at Equilibrium. Journal of Chemical Information and Modeling. 61(6). 2911–2915. 11 indexed citations

10.

Ambrose, Andrew J., Nhan T. Pham, Jared Sivinski, et al.. (2020). A two-step resin based approach to reveal survivin-selective fluorescent probes. RSC Chemical Biology. 2(1). 181–186. 5 indexed citations

11.

Jiang, Liangrong, Guotian Li, Mawsheng Chern, et al.. (2019). Whole-Genome Sequencing Identifies a Rice Grain Shape Mutant, gs9–1. Rice. 12(1). 52–52. 3 indexed citations

12.

Horrocks, Mathew H., et al.. (2019). α-Synuclein–Confocal Nanoscanning (ASYN-CONA), a Bead-Based Assay for Detecting Early-Stage α-Synuclein Aggregation. Analytical Chemistry. 91(9). 5582–5590. 13 indexed citations

13.

Liu, Wei, Zhouqing Luo, Yun Wang, et al.. (2018). Rapid pathway prototyping and engineering using in vitro and in vivo synthetic genome SCRaMbLE-in methods. Nature Communications. 9(1). 1936–1936. 96 indexed citations

14.

Pham, Nhan T., Steven Shave, Derek F. Ceccarelli, et al.. (2018). Real-time tracking of complex ubiquitination cascades using a fluorescent confocal on-bead assay. BMC Biology. 16(1). 88–88. 10 indexed citations

15.

Shave, Steven, et al.. (2018). Diclofenac Identified as a Kynurenine 3-Monooxygenase Binder and Inhibitor by Molecular Similarity Techniques. ACS Omega. 3(3). 2564–2568. 15 indexed citations

16.

Webster, Scott P., John P. Iredale, Xiaozhong Zheng, et al.. (2017). Detecting drug-target binding in cells using fluorescence-activated cell sorting coupled with mass spectrometry analysis. Methods and Applications in Fluorescence. 6(1). 15002–15002. 6 indexed citations

17.

Auer, Manfred, Margaret Binnie, Nhan T. Pham, et al.. (2016). Overexpression of human kynurenine-3-monooxygenase protects against 3-hydroxykynurenine-mediated apoptosis through bidirectional nonlinear feedback. Cell Death and Disease. 7(4). e2197–e2197. 18 indexed citations

18.

Koos, Björn, Karin Grannas, Liza Löf, et al.. (2015). Proximity-dependent initiation of hybridization chain reaction. Nature Communications. 6(1). 7294–7294. 86 indexed citations

19.

Laurent, Nicolas, Josef Voglmeir, Jonathan M. Blackburn, et al.. (2008). Enzymatic Glycosylation of Peptide Arrays on Gold Surfaces. ChemBioChem. 9(6). 883–887. 54 indexed citations

20.

Gough, Julie E., Frank J. M. Rutten, Nhan T. Pham, et al.. (2006). Controlling protein retention on enzyme‐responsive surfaces. Surface and Interface Analysis. 38(11). 1505–1511. 18 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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