Michael Q. Ding

445 total citations
9 papers, 290 citations indexed

About

Michael Q. Ding is a scholar working on Molecular Biology, Epidemiology and Computational Theory and Mathematics. According to data from OpenAlex, Michael Q. Ding has authored 9 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Michael Q. Ding's work include Computational Drug Discovery Methods (2 papers), Liver physiology and pathology (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Michael Q. Ding is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Liver physiology and pathology (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Michael Q. Ding collaborates with scholars based in United States, United Kingdom and China. Michael Q. Ding's co-authors include Xinghua Lu, Lujia Chen, Gregory F. Cooper, William C. Bowen, Donna B. Stolz, George K. Michalopoulos, Anne Orr, Josiah E. Radder, Shirish Paranjpe and Mu He and has published in prestigious journals such as PLoS ONE, Aging Cell and BMC Health Services Research.

In The Last Decade

Michael Q. Ding

8 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Q. Ding United States 6 112 53 48 47 39 9 290
Zhonglin Li China 12 148 1.3× 45 0.8× 18 0.4× 81 1.7× 45 1.2× 39 428
Jon Hill United States 10 315 2.8× 38 0.7× 19 0.4× 70 1.5× 75 1.9× 14 585
Latha Paka United States 12 200 1.8× 50 0.9× 17 0.4× 49 1.0× 87 2.2× 17 518
Erio Barale-Thomas United States 8 75 0.7× 19 0.4× 22 0.5× 12 0.3× 20 0.5× 13 283
Nakul Datta United States 7 177 1.6× 15 0.3× 114 2.4× 111 2.4× 43 1.1× 12 504
Na Gao China 12 100 0.9× 22 0.4× 47 1.0× 66 1.4× 60 1.5× 35 462
Henry Webel Denmark 6 103 0.9× 42 0.8× 31 0.6× 66 1.4× 14 0.4× 8 240
Viktoriia Starokozhko Netherlands 12 63 0.6× 16 0.3× 85 1.8× 31 0.7× 9 0.2× 18 328

Countries citing papers authored by Michael Q. Ding

Since Specialization
Citations

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

Fields of papers citing papers by Michael Q. Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Q. Ding. 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 Michael Q. Ding. The network helps show where Michael Q. Ding may publish in the future.

Co-authorship network of co-authors of Michael Q. Ding

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

All Works

9 of 9 papers shown
1.
Ding, Michael Q., et al.. (2023). ID: 203843 A Rare Case of Ibrutinib-Induced Polyneuropathy. Neuromodulation Technology at the Neural Interface. 26(4). S245–S245.
2.
Ding, Michael Q.. (2021). PTU-29 Upper gastrointestinal bleeding and COVID-19 – A tertiary care centre experience. A56.2–A57. 1 indexed citations
3.
Tao, Yifeng, et al.. (2020). Predicting Drug Sensitivity of Cancer Cell Lines via Collaborative Filtering with Contextual Attention. 660–684. 1 indexed citations
4.
Xue, Yifan, Michael Q. Ding, & Xinghua Lu. (2020). Learning to encode cellular responses to systematic perturbations with deep generative models. npj Systems Biology and Applications. 6(1). 35–35. 10 indexed citations
5.
Ding, Michael Q., et al.. (2017). Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics. Molecular Cancer Research. 16(2). 269–278. 112 indexed citations
6.
Guillory, Bobby, Jian Chen, Jiaohua Luo, et al.. (2017). Deletion of ghrelin prevents aging‐associated obesity and muscle dysfunction without affecting longevity. Aging Cell. 16(4). 859–869. 29 indexed citations
7.
Ding, Michael Q., et al.. (2016). Measuring time utilization of pharmacists in the Birmingham Free Clinic dispensary. BMC Health Services Research. 16(1). 529–529. 16 indexed citations
8.
9.
He, Mu, Liang‐I Kang, Michael Q. Ding, et al.. (2014). Synthesis of IL-6 by Hepatocytes Is a Normal Response to Common Hepatic Stimuli. PLoS ONE. 9(4). e96053–e96053. 101 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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