T D Lee

13 total papers · 743 total citations
12 papers, 622 citations indexed

About

T D Lee is a scholar working on Spectroscopy, Molecular Biology and Physiology. According to data from OpenAlex, T D Lee has authored 12 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Spectroscopy, 5 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in T D Lee's work include Mass Spectrometry Techniques and Applications (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). T D Lee is often cited by papers focused on Mass Spectrometry Techniques and Applications (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). T D Lee collaborates with scholars based in United States, Taiwan and Canada. T D Lee's co-authors include John E. Shively, Hema Pande, Gregory Mooser, Ralph Paxton, Peter F. Hall, Kazutoshi Yanagibashi, Marc J. Besman, J E Shively, Masahiro Kawamura and P. A. Martino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical Journal.

In The Last Decade

T D Lee

12 papers receiving 595 citations

Author Peers

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

Author						Papers	Cites
T D Lee	307	127	121	115	95	12	622
Brent Larsen	303 1.0×	44 0.3×	103 0.9×	57 0.5×	18 0.2×	33	643
Chawita Netirojjanakul	374 1.2×	160 1.3×	22 0.2×	122 1.1×	9 0.1×	20	568
Henrik Wadensten	304 1.0×	35 0.3×	80 0.7×	133 1.2×	8 0.1×	19	553
Kenway Hoey	192 0.6×	53 0.4×	57 0.5×	125 1.1×	46 0.5×	10	616
Tracy I. Stevenson	294 1.0×	14 0.1×	89 0.7×	227 2.0×	22 0.2×	15	597
Tyler Greer	449 1.5×	52 0.4×	46 0.4×	431 3.7×	39 0.4×	23	647
Daniel R. Higazi	417 1.4×	90 0.7×	63 0.5×	56 0.5×	12 0.1×	18	636
Erik L. de Graaf	571 1.9×	57 0.4×	22 0.2×	387 3.4×	33 0.3×	24	781
Daniel R. Feldman	257 0.8×	62 0.5×	22 0.2×	296 2.6×	84 0.9×	19	569
Douglas M. Benson	204 0.7×	44 0.3×	34 0.3×	20 0.2×	8 0.1×	16	591

Countries citing papers authored by T D Lee

Since Specialization

Citations

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

Fields of papers citing papers by T D Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T D Lee

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