Brian A. Naughton

46 total papers · 887 total citations
38 papers, 710 citations indexed

About

Brian A. Naughton is a scholar working on Hematology, Genetics and Hepatology. According to data from OpenAlex, Brian A. Naughton has authored 38 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hematology, 12 papers in Genetics and 9 papers in Hepatology. Recurrent topics in Brian A. Naughton's work include Erythropoietin and Anemia Treatment (15 papers), Liver physiology and pathology (9 papers) and 3D Printing in Biomedical Research (9 papers). Brian A. Naughton is often cited by papers focused on Erythropoietin and Anemia Treatment (15 papers), Liver physiology and pathology (9 papers) and 3D Printing in Biomedical Research (9 papers). Brian A. Naughton collaborates with scholars based in United States, Australia and Switzerland. Brian A. Naughton's co-authors include Dawn Applegate, Thomas Weiser, Laura Suter‐Dick, Adrian Roth, Radina Kostadinova, Franziska Boess, Thomas P. Singer, Gail K. Naughton, Albert S. Gordon and Sam J. Piliero and has published in prestigious journals such as Science, Biochemical and Biophysical Research Communications and Annals of the New York Academy of Sciences.

In The Last Decade

Brian A. Naughton

36 papers receiving 652 citations

Author Peers

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

Author						Papers	Cites
Brian A. Naughton	312	223	167	146	137	38	710
Simona Marzorati	94 0.3×	111 0.5×	63 0.4×	183 1.3×	574 4.2×	36	896
Federico Moriconi	26 0.1×	129 0.6×	90 0.5×	181 1.2×	97 0.7×	34	705
Kwang Yong Shim	32 0.1×	211 0.9×	46 0.3×	176 1.2×	247 1.8×	31	737
Shao-wei Li	40 0.1×	149 0.7×	18 0.1×	285 2.0×	267 1.9×	50	847
Bin Hu	37 0.1×	50 0.2×	39 0.2×	175 1.2×	116 0.8×	49	683
Keiichi Hirata	176 0.6×	324 1.5×	13 0.1×	174 1.2×	210 1.5×	39	802
Anna-Karin Sjögren	108 0.3×	70 0.3×	27 0.2×	540 3.7×	64 0.5×	26	861
Jia Fei	110 0.4×	16 0.1×	65 0.4×	421 2.9×	61 0.4×	54	863
Ying Lü	45 0.1×	43 0.2×	37 0.2×	525 3.6×	138 1.0×	37	908
Yuanyuan Xu	87 0.3×	18 0.1×	206 1.2×	290 2.0×	42 0.3×	46	799

Countries citing papers authored by Brian A. Naughton

Since Specialization

Citations

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

Fields of papers citing papers by Brian A. Naughton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian A. Naughton. 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 Brian A. Naughton. The network helps show where Brian A. Naughton may publish in the future.

Co-authorship network of co-authors of Brian A. Naughton

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