Qingda Zang

1.4k total citations
12 papers, 451 citations indexed

About

Qingda Zang is a scholar working on Analytical Chemistry, Small Animals and Dermatology. According to data from OpenAlex, Qingda Zang has authored 12 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Analytical Chemistry, 3 papers in Small Animals and 3 papers in Dermatology. Recurrent topics in Qingda Zang's work include Analytical Chemistry and Chromatography (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). Qingda Zang is often cited by papers focused on Analytical Chemistry and Chromatography (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). Qingda Zang collaborates with scholars based in United States, China and Ireland. Qingda Zang's co-authors include Nicole Kleinstreuer, David Allen, Warren Casey, Richard Judson, Judy Strickland, Abigail Jacobs, Michaël Paris, Kamel Mansouri, David M. Lehmann and Daniel M. Rotroff and has published in prestigious journals such as Analytical Chemistry, Macromolecules and Analytical and Bioanalytical Chemistry.

In The Last Decade

Qingda Zang

12 papers receiving 443 citations

Peers

Countries citing papers authored by Qingda Zang

Since Specialization

Citations

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

Fields of papers citing papers by Qingda Zang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingda Zang

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Prediction of skin sensitization potency using machine learning approaches 2017 ·Journal of Applied Toxicology ·Qingda Zang, Michaël Paris, David M. Lehmann, Shannon Bell, Nicole Kleinstreuer, David Allen, Joanna Matheson, Abigail Jacobs, Warren Casey, Judy Strickland	48
2	Multivariate models for prediction of human skin sensitization hazard 2016 ·Journal of Applied Toxicology ·Judy Strickland, Qingda Zang, Michaël Paris, David M. Lehmann, David Allen, Neepa Choksi, Joanna Matheson, Abigail Jacobs, Warren Casey, Nicole Kleinstreuer	55
3	Integrated decision strategies for skin sensitization hazard 2016 ·Journal of Applied Toxicology ·Judy Strickland, Qingda Zang, Nicole Kleinstreuer, Michaël Paris, David M. Lehmann, Neepa Choksi, Joanna Matheson, Abigail Jacobs, Anna Lowit, David Allen, Warren Casey	87
4	In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning 2016 ·Journal of Chemical Information and Modeling ·Qingda Zang, Kamel Mansouri, Antony Williams, Richard Judson, David Allen, Warren Casey, Nicole Kleinstreuer	124
5	Binary Classification of a Large Collection of Environmental Chemicals from Estrogen Receptor Assays by Quantitative Structure–Activity Relationship and Machine Learning Methods 2013 ·Journal of Chemical Information and Modeling ·Qingda Zang, Daniel M. Rotroff, Richard Judson	53
6	Identification of heparin samples that contain impurities or contaminants by chemometric pattern recognition analysis of proton NMR spectral data 2011 ·Analytical and Bioanalytical Chemistry ·Qingda Zang, David A. Keire, Lucinda F. Buhse, Richard D. Wood, D.P. Mital, (unknown), Shankar Srinivasan, Christine Moore, Moheb Nasr, Ali Al‐Hakim, Michael L. Trehy, William J. Welsh	19
7	Determination of galactosamine impurities in heparin samples by multivariate regression analysis of their 1H NMR spectra 2010 ·Analytical and Bioanalytical Chemistry ·Qingda Zang, David A. Keire, Richard D. Wood, Lucinda F. Buhse, Christine Moore, Moheb Nasr, Ali Al‐Hakim, Michael L. Trehy, William J. Welsh	19
8	Combining 1H NMR spectroscopy and chemometrics to identify heparin samples that may possess dermatan sulfate (DS) impurities or oversulfated chondroitin sulfate (OSCS) contaminants 2010 ·Journal of Pharmaceutical and Biomedical Analysis ·Qingda Zang, David A. Keire, Richard D. Wood, Lucinda F. Buhse, Christine Moore, Moheb Nasr, Ali Al‐Hakim, Michael L. Trehy, William J. Welsh	17
9	Class Modeling Analysis of Heparin ¹H NMR Spectral Data Using the Soft Independent Modeling of Class Analogy and Unequal Class Modeling Techniques 2010 ·Analytical Chemistry ·Qingda Zang, David A. Keire, Richard D. Wood, Lucinda F. Buhse, Christine Moore, Moheb Nasr, Ali Al‐Hakim, Michael L. Trehy, William J. Welsh	17
10	The effects of retinal ischemia on retinal nerve fiber layers of patients with retinal vein occlusion. 1997 ·PubMed ·(unknown), Qingda Zang	6
11	Synthesis of a new cationic acrylamide-dicyanodiamide macromer and its copolymerization with acrylamide 1994 ·Macromolecules ·Qingda Zang, (unknown)	4
12	Optic disc vasculitis: report of 42 cases. 1980 ·PubMed ·(unknown), Qingda Zang	2

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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