Uleng Bahrun

103 total papers · 1.1k total citations
49 papers, 867 citations indexed

About

Uleng Bahrun is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health and Immunology. According to data from OpenAlex, Uleng Bahrun has authored 49 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Pediatrics, Perinatology and Child Health and 9 papers in Immunology. Recurrent topics in Uleng Bahrun's work include Public Health and Nutrition (7 papers), Immune Cell Function and Interaction (6 papers) and Immune Response and Inflammation (6 papers). Uleng Bahrun is often cited by papers focused on Public Health and Nutrition (7 papers), Immune Cell Function and Interaction (6 papers) and Immune Response and Inflammation (6 papers). Uleng Bahrun collaborates with scholars based in Indonesia, Japan and United States. Uleng Bahrun's co-authors include Shoichiro Ohta, Paul W. Kincade, Yoshinori Nagai, Taku Kouro, Karla P. Garrett, Shizuo Akira, Kiyoshi Takatsu, Mansyur Arif, Masao Kimoto and Mochammad Hatta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Immunity and Biochemical and Biophysical Research Communications.

In The Last Decade

Uleng Bahrun

34 papers receiving 863 citations

Hit Papers

Toll-like Receptors on He... 2006 2026 2012 2019 2006 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Uleng Bahrun 590 218 142 88 72 49 867
Yoshio Ozaki 584 1.0× 183 0.8× 184 1.3× 136 1.5× 74 1.0× 43 1.0k
Thomas McDonnell 330 0.6× 169 0.8× 209 1.5× 94 1.1× 43 0.6× 51 1.0k
Richard Mitchell 419 0.7× 198 0.9× 211 1.5× 94 1.1× 60 0.8× 38 980
Małgorzata Pac 442 0.7× 109 0.5× 174 1.2× 101 1.1× 88 1.2× 48 741
Mark H. Wenink 607 1.0× 150 0.7× 172 1.2× 85 1.0× 51 0.7× 41 953
Youssef M. Mosaad 397 0.7× 131 0.6× 170 1.2× 120 1.4× 41 0.6× 56 931
Nicole Schaaf‐Lafontaine 434 0.7× 166 0.8× 113 0.8× 174 2.0× 68 0.9× 35 847
Masamichi Isobe 337 0.6× 253 1.2× 140 1.0× 40 0.5× 37 0.5× 65 720
G Fontán 488 0.8× 139 0.6× 110 0.8× 150 1.7× 55 0.8× 55 884
Angela Midgley 533 0.9× 196 0.9× 267 1.9× 148 1.7× 50 0.7× 35 1.0k

Countries citing papers authored by Uleng Bahrun

Since Specialization
Citations

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

Fields of papers citing papers by Uleng Bahrun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uleng Bahrun

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