W. Neuhauser

17 total papers · 414 total citations
11 papers, 332 citations indexed

About

W. Neuhauser is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cell Biology. According to data from OpenAlex, W. Neuhauser has authored 11 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Cell Biology. Recurrent topics in W. Neuhauser's work include Aldose Reductase and Taurine (4 papers), Diet, Metabolism, and Disease (4 papers) and Enzyme Catalysis and Immobilization (4 papers). W. Neuhauser is often cited by papers focused on Aldose Reductase and Taurine (4 papers), Diet, Metabolism, and Disease (4 papers) and Enzyme Catalysis and Immobilization (4 papers). W. Neuhauser collaborates with scholars based in Austria, Czechia and United Kingdom. W. Neuhauser's co-authors include Klaus D. Kulbe, Dietmar Haltrich, Bernd Nidetzky, Christian Leitner, Jindřich Volc, Peter Mayr, M. Puchberger and Kristina Schmidt and has published in prestigious journals such as Biochemistry, Biochemical Journal and Annals of the New York Academy of Sciences.

In The Last Decade

W. Neuhauser

11 papers receiving 318 citations

Author Peers

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

Author						Papers	Cites
W. Neuhauser	237	127	72	67	57	11	332
A J Hay	216 0.9×	37 0.3×	61 0.8×	34 0.5×	26 0.5×	9	386
David H. Watson	210 0.9×	28 0.2×	56 0.8×	33 0.5×	13 0.2×	13	340
Susanne Flygare	262 1.1×	68 0.5×	33 0.5×	11 0.2×	12 0.2×	10	392
Tatsuo Horiuchi	219 0.9×	23 0.2×	36 0.5×	15 0.2×	45 0.8×	18	399
Jacques Delente	198 0.8×	68 0.5×	24 0.3×	12 0.2×	11 0.2×	18	327
A. Rojkova	294 1.2×	34 0.3×	45 0.6×	28 0.4×	10 0.2×	14	385
C J Dickenson	222 0.9×	36 0.3×	25 0.3×	42 0.6×	25 0.4×	13	365
Johnny Van Steveninck	228 1.0×	59 0.5×	59 0.8×	37 0.6×	9 0.2×	16	355
Masahiko Goda	297 1.3×	18 0.1×	60 0.8×	46 0.7×	11 0.2×	11	385
Su Jung Kim	188 0.8×	141 1.1×	22 0.3×	15 0.2×	12 0.2×	19	366

Countries citing papers authored by W. Neuhauser

Since Specialization

Citations

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

Fields of papers citing papers by W. Neuhauser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Neuhauser

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