David L. Dai

94 total papers · 3.0k total citations
32 papers, 838 citations indexed

About

David L. Dai is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, David L. Dai has authored 32 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Oncology and 9 papers in Genetics. Recurrent topics in David L. Dai's work include Chronic Lymphocytic Leukemia Research (5 papers), Lung Cancer Treatments and Mutations (5 papers) and Pancreatic and Hepatic Oncology Research (3 papers). David L. Dai is often cited by papers focused on Chronic Lymphocytic Leukemia Research (5 papers), Lung Cancer Treatments and Mutations (5 papers) and Pancreatic and Hepatic Oncology Research (3 papers). David L. Dai collaborates with scholars based in United States, Canada and United Kingdom. David L. Dai's co-authors include B R Martin, Michael C. Phillips, John W. Huffman, Julia A.H. Lainton, David M. Compton, Jenny L. Wiley, Jeffrey D. Varner, Bin Fan, Guowen Liu and Julie R. Graham and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

David L. Dai

32 papers receiving 822 citations

Author Peers

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

Author						Papers	Cites
David L. Dai	354	201	179	125	118	32	838
Cimona V. Hinton	565 1.6×	112 0.6×	336 1.9×	83 0.7×	193 1.6×	26	990
Judit Dobos	443 1.3×	132 0.7×	378 2.1×	83 0.7×	155 1.3×	33	989
Kathleen M. Gillooly	261 0.7×	82 0.4×	166 0.9×	41 0.3×	146 1.2×	17	776
Robert De Jager	468 1.3×	37 0.2×	266 1.5×	59 0.5×	100 0.8×	52	1.0k
Rivka Hadar	312 0.9×	205 1.0×	138 0.8×	55 0.4×	126 1.1×	37	833
Danny Tam	447 1.3×	43 0.2×	143 0.8×	65 0.5×	67 0.6×	25	867
Thomas Griesbacher	257 0.7×	109 0.5×	82 0.5×	192 1.5×	36 0.3×	38	712
Fusako Nishigaki	468 1.3×	95 0.5×	183 1.0×	13 0.1×	120 1.0×	41	1.0k
Jocelyn Reader	330 0.9×	232 1.2×	294 1.6×	35 0.3×	142 1.2×	30	907
Toshiyuki Isoe	624 1.8×	75 0.4×	387 2.2×	14 0.1×	111 0.9×	30	934

Countries citing papers authored by David L. Dai

Since Specialization

Citations

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

Fields of papers citing papers by David L. Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David L. Dai

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