Michael D. Wang

1.7k total citations · 1 hit paper
15 papers, 968 citations indexed

About

Michael D. Wang is a scholar working on General Health Professions, Ecology and Health Information Management. According to data from OpenAlex, Michael D. Wang has authored 15 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in General Health Professions, 3 papers in Ecology and 2 papers in Health Information Management. Recurrent topics in Michael D. Wang's work include COVID-19 and healthcare impacts (2 papers), Healthcare Systems and Technology (2 papers) and Primary Care and Health Outcomes (2 papers). Michael D. Wang is often cited by papers focused on COVID-19 and healthcare impacts (2 papers), Healthcare Systems and Technology (2 papers) and Primary Care and Health Outcomes (2 papers). Michael D. Wang collaborates with scholars based in United States, China and Hong Kong. Michael D. Wang's co-authors include George M. Church, Gregory J. Porreca, Jay Shendure, John P. McCutcheon, Xiaoxia Lin, Nikos B. Reppas, Robi D. Mitra, Kun Zhang, Donald R. Strong and Julia Adler‐Milstein and has published in prestigious journals such as Science, Evolution and International Journal of Environmental Research and Public Health.

In The Last Decade

Michael D. Wang

15 papers receiving 917 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Accurate Multiplex Polony Sequencing of an Evolved Bacterial Genome

2005 860 citations Jay Shendure, Gregory J. Porreca et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael D. Wang United States	7	648	220	133	131	112	15	968
Gregory J. Porreca United States	12	1.3k 2.0×	522 2.4×	233 1.8×	171 1.3×	223 2.0×	15	1.8k
Serghei Mangul United States	18	799 1.2×	150 0.7×	101 0.8×	38 0.3×	67 0.6×	70	1.5k
Nikos B. Reppas United States	6	1.6k 2.5×	641 2.9×	420 3.2×	205 1.6×	180 1.6×	6	2.0k
Joanne E. Hughes United States	17	1.0k 1.6×	155 0.7×	101 0.8×	76 0.6×	160 1.4×	34	1.4k
Andrew F. Gardner United States	18	1.0k 1.6×	304 1.4×	209 1.6×	95 0.7×	120 1.1×	41	1.4k
Yu Tanouchi United States	13	595 0.9×	268 1.2×	77 0.6×	166 1.3×	47 0.4×	16	941
Anthony Kulesa United States	8	774 1.2×	88 0.4×	159 1.2×	479 3.7×	96 0.9×	10	1.3k
Debashis Ghosh United States	17	825 1.3×	339 1.5×	33 0.2×	41 0.3×	64 0.6×	47	1.4k
Margaret C. Kline United States	24	1.0k 1.6×	969 4.4×	212 1.6×	151 1.2×	64 0.6×	71	1.6k
Bei‐Wen Ying Japan	21	1.2k 1.8×	612 2.8×	198 1.5×	125 1.0×	60 0.5×	61	1.5k

Countries citing papers authored by Michael D. Wang

Since Specialization

Citations

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

Fields of papers citing papers by Michael D. Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. Wang

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

All Works

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15 of 15 papers shown

Xie, Jun, Dong Han, Tao Cheng, et al.. (2025). Accurate UAV-based detection of planting pits via spectral-spatial dual-domain collaboration. Smart Agricultural Technology. 12. 101384–101384. 1 indexed citations

Althouse, Benjamin M., Charlotte Baker, Samuel Gratzl, et al.. (2023). Racial inequality in COVID-treatment and in-hospital length of stay in the US over time. Frontiers in Public Health. 10. 1074775–1074775. 6 indexed citations

Wang, Michael D., B. Rosner, & Glenn Rosenbluth. (2022). Where Is the Digitally Silent Provider? Development and Validation of a Team-Centered Electronic Health Record Attribution Model for Supervising Residents. Academic Medicine. 98(1). 62–66. 3 indexed citations

Lou, Jie, et al.. (2022). Effects of Mobile Identity on Smartphone Symbolic Use: An Attachment Theory Perspective. International Journal of Environmental Research and Public Health. 19(21). 14036–14036. 6 indexed citations

Lou, Jie, et al.. (2021). Understanding the deep structure use of mobile phones – an attachment perspective. Behaviour and Information Technology. 41(15). 3191–3209. 12 indexed citations

Wang, Michael D., et al.. (2021). News Credibility and Influence within the Financial Markets. Journal of Behavioral Finance. 24(2). 238–257. 1 indexed citations

Wang, Michael D., et al.. (2020). Initial Experience with a COVID-19 Web-Based Patient Self-assessment Tool. Journal of General Internal Medicine. 35(9). 2821–2822. 4 indexed citations

Adler‐Milstein, Julia & Michael D. Wang. (2020). The impact of transitioning from availability of outside records within electronic health records to integration of local and outside records within electronic health records. Journal of the American Medical Informatics Association. 27(4). 606–612. 11 indexed citations

Pantell, Matthew S., Julia Adler‐Milstein, Michael D. Wang, et al.. (2020). A call for social informatics. Journal of the American Medical Informatics Association. 27(11). 1798–1801. 17 indexed citations

10.

Liu, Yu, Yunhe Hou, Shunbo Lei, & Michael D. Wang. (2016). A distribution network restoration decision support algorithm based on multi-agent system. 33–37. 3 indexed citations

11.

Harley, Kevin, Michael D. Wang, & Alpesh Amin. (2009). Common Procedures in Internal Medicine: Improving Knowledge and Minimizing Complications. Hospital Practice. 37(1). 121–127. 4 indexed citations

12.

Tsai, Fong Y., et al.. (2007). Mobile Healthcare: Opportunities and Challenges. 50–50. 12 indexed citations

13.

Shendure, Jay, Gregory J. Porreca, Nikos B. Reppas, et al.. (2005). Accurate Multiplex Polony Sequencing of an Evolved Bacterial Genome. Science. 309(5741). 1728–1732. 860 indexed citations breakdown →

14.

Strong, Donald R. & Michael D. Wang. (1977). EVOLUTION OF INSECT LIFE HISTORIES AND HOST PLANT CHEMISTRY: HISPINE BEETLES ON HELICONIA. Evolution. 31(4). 854–862. 17 indexed citations

15.

Strong, Donald R. & Michael D. Wang. (1977). Evolution of Insect Life Histories and Host Plant Chemistry: Hispine Beetles on Heliconia. Evolution. 31(4). 854–854. 11 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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