Lee T. Grady

55 total papers · 679 total citations
36 papers, 458 citations indexed

About

Lee T. Grady is a scholar working on Spectroscopy, Molecular Biology and Analytical Chemistry. According to data from OpenAlex, Lee T. Grady has authored 36 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Spectroscopy, 8 papers in Molecular Biology and 8 papers in Analytical Chemistry. Recurrent topics in Lee T. Grady's work include Analytical Chemistry and Chromatography (11 papers), Analytical Methods in Pharmaceuticals (8 papers) and Safe Handling of Antineoplastic Drugs (6 papers). Lee T. Grady is often cited by papers focused on Analytical Chemistry and Chromatography (11 papers), Analytical Methods in Pharmaceuticals (8 papers) and Safe Handling of Antineoplastic Drugs (6 papers). Lee T. Grady collaborates with scholars based in United States. Lee T. Grady's co-authors include Kailas Thakker, Gary M. Kleĉka, Dik van de Meent, Don Mackay, D.M. Muir, Philip H. Howard, Donald R. Graham, Robert S. Boethling, Jonathan E. Franklin and Robert J. Larson and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Pharmacology and Experimental Therapeutics and Current Opinion in Biotechnology.

In The Last Decade

Lee T. Grady

34 papers receiving 397 citations

Author Peers

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

Author Last Decade Papers Cites
Lee T. Grady 93 74 63 54 54 36 458
Ande Ma 77 0.8× 54 0.7× 91 1.4× 31 0.6× 98 1.8× 38 492
Dagmar S. Urgast 53 0.6× 185 2.5× 89 1.4× 14 0.3× 48 0.9× 20 497
Yoshinari Suzuki 28 0.3× 165 2.2× 93 1.5× 26 0.5× 28 0.5× 46 529
Tadashi Hayama 230 2.5× 52 0.7× 116 1.8× 25 0.5× 23 0.4× 43 526
Andrzej Czyrski 84 0.9× 11 0.1× 80 1.3× 30 0.6× 40 0.7× 30 463
Isamu Aoki 70 0.8× 150 2.0× 81 1.3× 8 0.1× 14 0.3× 31 446
Sara Rossi 91 1.0× 57 0.8× 29 0.5× 37 0.7× 30 0.6× 30 535
Li-Long Jiang 46 0.5× 97 1.3× 34 0.5× 10 0.2× 12 0.2× 23 520
Bo Li 69 0.7× 31 0.4× 56 0.9× 25 0.5× 48 0.9× 30 418
Suh‐Jen Jane Tsai 51 0.5× 30 0.4× 195 3.1× 53 1.0× 23 0.4× 27 450

Countries citing papers authored by Lee T. Grady

Since Specialization
Citations

This map shows the geographic impact of Lee T. Grady'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 Lee T. Grady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee T. Grady more than expected).

Fields of papers citing papers by Lee T. Grady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee T. Grady. 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 Lee T. Grady. The network helps show where Lee T. Grady may publish in the future.

Co-authorship network of co-authors of Lee T. Grady

This figure shows the co-authorship network connecting the top 25 collaborators of Lee T. Grady. A scholar is included among the top collaborators of Lee T. Grady 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 Lee T. Grady. Lee T. Grady 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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