W. Niedermayer

105 total papers · 441 total citations
60 papers, 262 citations indexed

About

W. Niedermayer is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, W. Niedermayer has authored 60 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Cardiology and Cardiovascular Medicine and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in W. Niedermayer's work include Pain Management and Treatment (5 papers), Renal and Vascular Pathologies (5 papers) and Cardiac Arrhythmias and Treatments (4 papers). W. Niedermayer is often cited by papers focused on Pain Management and Treatment (5 papers), Renal and Vascular Pathologies (5 papers) and Cardiac Arrhythmias and Treatments (4 papers). W. Niedermayer collaborates with scholars based in Germany, United States and Austria. W. Niedermayer's co-authors include G. Leimenstoll, Joseph F. Garcia, George Y. Wong, Gisela K. Clemons, O. Wassermann, R. Brunkhorst, K.‐U. Seiler, R. Engemann, P. Zabel and U. Gottstein and has published in prestigious journals such as Kidney International, British Journal of Haematology and Clinical Pharmacokinetics.

In The Last Decade

W. Niedermayer

50 papers receiving 229 citations

Author Peers

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

Author						Papers	Cites
W. Niedermayer	57	54	53	51	45	60	262
Tetsuya Fujikawa	117 2.1×	58 1.1×	76 1.4×	40 0.8×	46 1.0×	36	314
Fumio Nanishi	61 1.1×	38 0.7×	140 2.6×	39 0.8×	55 1.2×	32	316
G. Kleinberger	34 0.6×	15 0.3×	37 0.7×	49 1.0×	33 0.7×	39	309
Ioana Ioniță	30 0.5×	32 0.6×	65 1.2×	36 0.7×	65 1.4×	42	321
Sedat Üstündağ	51 0.9×	15 0.3×	79 1.5×	40 0.8×	39 0.9×	37	262
Kunihiko Wakaki	21 0.4×	29 0.5×	38 0.7×	35 0.7×	39 0.9×	38	329
Helmut Brussee	136 2.4×	27 0.5×	60 1.1×	34 0.7×	35 0.8×	34	322
Emilio Ramazzina	46 0.8×	31 0.6×	23 0.4×	53 1.0×	33 0.7×	32	273
Andrzej Oko	64 1.1×	23 0.4×	102 1.9×	38 0.7×	68 1.5×	47	315
Jun Chen	91 1.6×	28 0.5×	93 1.8×	32 0.6×	83 1.8×	34	300

Countries citing papers authored by W. Niedermayer

Since Specialization

Citations

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

Fields of papers citing papers by W. Niedermayer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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