Michael L. McGraw

25 total papers · 995 total citations
20 papers, 830 citations indexed

About

Michael L. McGraw is a scholar working on Organic Chemistry, Process Chemistry and Technology and Biomaterials. According to data from OpenAlex, Michael L. McGraw has authored 20 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Organic Chemistry, 5 papers in Process Chemistry and Technology and 5 papers in Biomaterials. Recurrent topics in Michael L. McGraw's work include Synthetic Organic Chemistry Methods (7 papers), Organoboron and organosilicon chemistry (7 papers) and Carbon dioxide utilization in catalysis (5 papers). Michael L. McGraw is often cited by papers focused on Synthetic Organic Chemistry Methods (7 papers), Organoboron and organosilicon chemistry (7 papers) and Carbon dioxide utilization in catalysis (5 papers). Michael L. McGraw collaborates with scholars based in United States, Saudi Arabia and Italy. Michael L. McGraw's co-authors include Eugene Y.‐X. Chen, Ryan W. Clarke, Changxia Shi, Laura Falivene, Luigi Cavallo, Zichen Li, Jiawei Chen, Alevtina Smirnova, Praveen Kolla and Bowen Yao and has published in prestigious journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Michael L. McGraw

20 papers receiving 815 citations

Author Peers

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

Author						Papers	Cites
Michael L. McGraw	559	329	300	142	100	20	830
Zhongmin Dong	517 0.9×	235 0.7×	173 0.6×	346 2.4×	58 0.6×	15	806
Ryan W. Clarke	488 0.9×	423 1.3×	219 0.7×	243 1.7×	45 0.5×	28	931
Florian Stempfle	463 0.8×	548 1.7×	328 1.1×	302 2.1×	149 1.5×	13	951
Kristīne Kļimoviča	666 1.2×	166 0.5×	146 0.5×	166 1.2×	149 1.5×	18	859
Saskia Huijser	465 0.8×	615 1.9×	513 1.7×	94 0.7×	52 0.5×	15	789
Ravikumar R. Gowda	618 1.1×	547 1.7×	447 1.5×	96 0.7×	111 1.1×	38	961
Antoine Tardy	651 1.2×	384 1.2×	109 0.4×	111 0.8×	24 0.2×	15	754
Scott D. Allen	336 0.6×	453 1.4×	523 1.7×	112 0.8×	112 1.1×	22	1.0k
Jie Li	348 0.6×	288 0.9×	414 1.4×	70 0.5×	93 0.9×	21	848
Tian‐Jun Yue	563 1.0×	424 1.3×	608 2.0×	318 2.2×	32 0.3×	40	878

Countries citing papers authored by Michael L. McGraw

Since Specialization

Citations

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

Fields of papers citing papers by Michael L. McGraw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael L. McGraw

This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. McGraw. A scholar is included among the top collaborators of Michael L. McGraw 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 L. McGraw. Michael L. McGraw 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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