Michael H. Parker

56 total papers · 1.6k total citations
35 papers, 1.0k citations indexed

About

Michael H. Parker is a scholar working on Organic Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Michael H. Parker has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organic Chemistry, 8 papers in Molecular Biology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Michael H. Parker's work include Computational Drug Discovery Methods (7 papers), Malaria Research and Control (5 papers) and Parallel Computing and Optimization Techniques (4 papers). Michael H. Parker is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Malaria Research and Control (5 papers) and Parallel Computing and Optimization Techniques (4 papers). Michael H. Parker collaborates with scholars based in United States, Pakistan and South Korea. Michael H. Parker's co-authors include Allen B. Reitz, Gary H. Posner, Theresa A. Shapiro, Lambert Schaelicke, Poonsakdi Ploypradith, Wilson C. Hsieh, Peter Shirley, Charles Hansen, Peter‐Pike Sloan and Yarden Livnat and has published in prestigious journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Journal of Medicinal Chemistry and The Journal of Organic Chemistry.

In The Last Decade

Michael H. Parker

32 papers receiving 950 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michael H. Parker	283	270	266	184	173	35	1.0k
Si Zheng	199 0.7×	311 1.2×	24 0.1×	15 0.1×	434 2.5×	89	1.2k
M.K. Ibrahim	62 0.2×	46 0.2×	306 1.2×	6 0.0×	192 1.1×	127	1.2k
Erwin Laure	310 1.1×	602 2.2×	30 0.1×	6 0.0×	111 0.6×	90	1.1k
Biagio Cosenza	175 0.6×	184 0.7×	669 2.5×	3 0.0×	34 0.2×	47	1.1k
Ling Wang	67 0.2×	95 0.4×	25 0.1×	23 0.1×	201 1.2×	55	812
Matthew Might	184 0.7×	123 0.5×	14 0.1×	16 0.1×	211 1.2×	80	1.0k
Kun Wu	135 0.5×	325 1.2×	140 0.5×	34 0.2×	130 0.8×	46	892
Jia-Ping Wang	20 0.1×	36 0.1×	24 0.1×	19 0.1×	122 0.7×	40	889
Tingjian Zhang	50 0.2×	51 0.2×	231 0.9×	3 0.0×	404 2.3×	59	988
Jia Woei Wong	28 0.1×	122 0.5×	100 0.4×	35 0.2×	137 0.8×	41	1.1k

Countries citing papers authored by Michael H. Parker

Since Specialization

Citations

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

Fields of papers citing papers by Michael H. Parker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael H. Parker

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

All Works

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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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