Tom Truong

65 total papers · 1.5k total citations
12 papers, 1.0k citations indexed

About

Tom Truong is a scholar working on Molecular Biology, Ophthalmology and Oncology. According to data from OpenAlex, Tom Truong has authored 12 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Ophthalmology and 4 papers in Oncology. Recurrent topics in Tom Truong's work include Cancer-related Molecular Pathways (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Retinal Diseases and Treatments (2 papers). Tom Truong is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Retinal Diseases and Treatments (2 papers). Tom Truong collaborates with scholars based in United States, France and United Kingdom. Tom Truong's co-authors include Marcia Belvin, Lori S. Friedman, Klaus P. Hoeflich, Lesley Murray, Elizabeth M. Blackwood, Mark R. Lackner, Elizabeth A. Punnoose, Wei Zhou, Leanne Berry and Steve Guerrero and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Cancer Research.

In The Last Decade

Tom Truong

10 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Tom Truong	708	394	230	136	113	12	1.0k
Eva–Maria Hedlund	701 1.0×	307 0.8×	330 1.4×	114 0.8×	98 0.9×	12	1.1k
Amanda R. Moore	742 1.0×	368 0.9×	151 0.7×	147 1.1×	137 1.2×	10	1.1k
Yanmei Xu	735 1.0×	528 1.3×	194 0.8×	141 1.0×	86 0.8×	21	1.0k
Hanhua Huang	591 0.8×	182 0.5×	261 1.1×	94 0.7×	126 1.1×	13	863
Marcela Franco	668 0.9×	413 1.0×	402 1.7×	137 1.0×	79 0.7×	11	1.0k
Keiichi Aomatsu	508 0.7×	255 0.6×	195 0.8×	96 0.7×	54 0.5×	23	817
Wendy Prime	661 0.9×	362 0.9×	279 1.2×	138 1.0×	106 0.9×	24	1.1k
Alice Banh	662 0.9×	171 0.4×	441 1.9×	128 0.9×	162 1.4×	14	1.1k
Irene Rodríguez‐Hernández	475 0.7×	277 0.7×	160 0.7×	75 0.6×	92 0.8×	21	864
Dawid G. Nowak	944 1.3×	164 0.4×	242 1.1×	133 1.0×	57 0.5×	20	1.2k

Countries citing papers authored by Tom Truong

Since Specialization

Citations

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

Fields of papers citing papers by Tom Truong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Truong. 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 Tom Truong. The network helps show where Tom Truong may publish in the future.

Co-authorship network of co-authors of Tom Truong

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Truong. A scholar is included among the top collaborators of Tom Truong 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 Tom Truong. Tom Truong 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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