Ted M. Lakowski

54 total papers · 1.2k total citations
44 papers, 856 citations indexed

About

Ted M. Lakowski is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, Ted M. Lakowski has authored 44 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 6 papers in Pharmacology and 3 papers in Organic Chemistry. Recurrent topics in Ted M. Lakowski's work include Epigenetics and DNA Methylation (20 papers), Cancer-related gene regulation (19 papers) and Histone Deacetylase Inhibitors Research (4 papers). Ted M. Lakowski is often cited by papers focused on Epigenetics and DNA Methylation (20 papers), Cancer-related gene regulation (19 papers) and Histone Deacetylase Inhibitors Research (4 papers). Ted M. Lakowski collaborates with scholars based in Canada, United States and China. Ted M. Lakowski's co-authors include Adam Frankel, L. Ryan, Pingzhao Hu, Shujun Huang, Peiran Jiang, Nathaniel I. Martin, Michael Namaka, Claudia Cortés, Peter ‘t Hart and James Davie and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Analytical Biochemistry.

In The Last Decade

Ted M. Lakowski

43 papers receiving 839 citations

Author Peers

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

Author						Papers	Cites
Ted M. Lakowski	643	65	53	49	38	44	856
Ola Fjellström	550 0.9×	83 1.3×	51 1.0×	60 1.2×	28 0.7×	40	853
Nan Wu	371 0.6×	37 0.6×	41 0.8×	43 0.9×	24 0.6×	44	716
Oleg Demin	754 1.2×	126 1.9×	53 1.0×	57 1.2×	37 1.0×	48	1.0k
Jian Zhu	517 0.8×	77 1.2×	65 1.2×	52 1.1×	78 2.1×	23	773
Rajiv Kumar Tonk	361 0.6×	68 1.0×	48 0.9×	87 1.8×	70 1.8×	45	810
Kwan‐Young Jung	558 0.9×	51 0.8×	45 0.8×	111 2.3×	32 0.8×	51	970
P. Sneha	467 0.7×	67 1.0×	31 0.6×	50 1.0×	24 0.6×	29	758
Ornella Moltedo	457 0.7×	28 0.4×	37 0.7×	50 1.0×	48 1.3×	32	841
Émilie Durieu	406 0.6×	42 0.6×	89 1.7×	65 1.3×	23 0.6×	26	868
Michele F. Rega	502 0.8×	90 1.4×	28 0.5×	92 1.9×	72 1.9×	28	763

Countries citing papers authored by Ted M. Lakowski

Since Specialization

Citations

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

Fields of papers citing papers by Ted M. Lakowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ted M. Lakowski. 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 Ted M. Lakowski. The network helps show where Ted M. Lakowski may publish in the future.

Co-authorship network of co-authors of Ted M. Lakowski

This figure shows the co-authorship network connecting the top 25 collaborators of Ted M. Lakowski. A scholar is included among the top collaborators of Ted M. Lakowski 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 Ted M. Lakowski. Ted M. Lakowski 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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