Tony Bui

25 total papers · 477 total citations
12 papers, 283 citations indexed

About

Tony Bui is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Tony Bui has authored 12 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Pediatrics, Perinatology and Child Health and 4 papers in Obstetrics and Gynecology. Recurrent topics in Tony Bui's work include Renal and related cancers (6 papers), Pluripotent Stem Cells Research (5 papers) and Pregnancy and preeclampsia studies (4 papers). Tony Bui is often cited by papers focused on Renal and related cancers (6 papers), Pluripotent Stem Cells Research (5 papers) and Pregnancy and preeclampsia studies (4 papers). Tony Bui collaborates with scholars based in United States, Philippines and South Korea. Tony Bui's co-authors include Mariko Horii, Mana M. Parast, Hee Young Cho, Dominique Luton, Cathérine Garel, Isabelle Zaccaria, Jean‐Luc Daire, François Chalard, Monique Elmaleh and G. Sebag and has published in prestigious journals such as Scientific Reports, The American Historical Review and Reproduction.

In The Last Decade

Tony Bui

11 papers receiving 277 citations

Author Peers

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

Author						Papers	Cites
Tony Bui	166	104	104	71	34	12	283
Diana Caprau	139 0.8×	92 0.9×	61 0.6×	52 0.7×	24 0.7×	10	321
Jane Hair	190 1.1×	49 0.5×	244 2.3×	9 0.1×	36 1.1×	10	295
Gabriela Stolz	164 1.0×	89 0.9×	52 0.5×	13 0.2×	7 0.2×	10	297
Sarah Fitzgerald	123 0.7×	31 0.3×	181 1.7×	9 0.1×	114 3.4×	17	286
Harm‐Gerd K. Blaas	174 1.0×	53 0.5×	76 0.7×	21 0.3×	7 0.2×	15	291
Devika Maulik	148 0.9×	38 0.4×	186 1.8×	6 0.1×	58 1.7×	11	307
Lucy Ma	41 0.2×	21 0.2×	100 1.0×	12 0.2×	32 0.9×	14	277
Koji Kato	51 0.3×	136 1.3×	21 0.2×	13 0.2×	101 3.0×	15	317
Filippo Massa	35 0.2×	171 1.6×	31 0.3×	12 0.2×	15 0.4×	15	281
Irving Umansky	107 0.6×	29 0.3×	22 0.2×	12 0.2×	43 1.3×	11	326

Countries citing papers authored by Tony Bui

Since Specialization

Citations

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

Fields of papers citing papers by Tony Bui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tony Bui

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