Bao Do

20 total papers · 775 total citations
16 papers, 585 citations indexed

About

Bao Do is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Bao Do has authored 16 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in Bao Do's work include Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). Bao Do is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). Bao Do collaborates with scholars based in United States, China and Switzerland. Bao Do's co-authors include Karen Davis, Rosaria Scozzari, David Modiano, Peter de Knijff, Marcus W. Feldman, Toomas Kivisild, Giuseppe Passarino, Raphael Sung, Alfredo Coppa and Peidong Shen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Genetics.

In The Last Decade

Bao Do

15 papers receiving 568 citations

Author Peers

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

Author						Papers	Cites
Bao Do	229	209	68	62	61	16	585
Natalia Volodko	367 1.6×	282 1.3×	151 2.2×	33 0.5×	5 0.1×	28	681
Chantal J. Frégeau	231 1.0×	336 1.6×	12 0.2×	13 0.2×	4 0.1×	26	513
Naseem Malik	185 0.8×	181 0.9×	70 1.0×	13 0.2×		23	589
Gary M. Troup	157 0.7×	125 0.6×	6 0.1×	8 0.1×	8 0.1×	22	657
Cristina Albarrán	505 2.2×	318 1.5×	230 3.4×	27 0.4×	2 0.0×	16	698
Sergey Zhadanov	341 1.5×	141 0.7×	104 1.5×	39 0.6×	1 0.0×	18	549
Monami Roy	346 1.5×	135 0.6×	55 0.8×	6 0.1×	11 0.2×	14	543
Katherine Lazaruk	241 1.1×	338 1.6×	9 0.1×	10 0.2×	3 0.0×	13	544
Seyed H. Hosseini	329 1.4×	308 1.5×	119 1.8×	84 1.4×		11	674
Kuang Lin	183 0.8×	180 0.9×	40 0.6×	8 0.1×	10 0.2×	20	597

Countries citing papers authored by Bao Do

Since Specialization

Citations

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

Fields of papers citing papers by Bao Do

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bao Do

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