Garry Niedermayer

20 total papers · 577 total citations
14 papers, 441 citations indexed

About

Garry Niedermayer is a scholar working on Neurology, Physiology and Biological Psychiatry. According to data from OpenAlex, Garry Niedermayer has authored 14 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 5 papers in Physiology and 4 papers in Biological Psychiatry. Recurrent topics in Garry Niedermayer's work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Curcumin's Biomedical Applications (4 papers) and Tryptophan and brain disorders (4 papers). Garry Niedermayer is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Curcumin's Biomedical Applications (4 papers) and Tryptophan and brain disorders (4 papers). Garry Niedermayer collaborates with scholars based in Australia, China and United States. Garry Niedermayer's co-authors include Erika Gyengési, Gerald Münch, Huazheng Liang, Faheem Ullah, Alejandra Rangel, Rose Chesworth, Tim Karl, Madhuri Venigalla, Sandra Sonego and Dhanushka Gunawardena and has published in prestigious journals such as PLoS ONE, Scientific Reports and Free Radical Biology and Medicine.

In The Last Decade

Garry Niedermayer

13 papers receiving 433 citations

Author Peers

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

Author						Papers	Cites
Garry Niedermayer	165	137	106	87	77	14	441
Yong Sun	98 0.6×	114 0.8×	94 0.9×	76 0.9×	64 0.8×	12	440
Pil‐Jae Kong	111 0.7×	169 1.2×	79 0.7×	77 0.9×	53 0.7×	11	480
Tousif Ahmed Hediyal	80 0.5×	169 1.2×	131 1.2×	79 0.9×	42 0.5×	12	383
André Meneghetti	79 0.5×	77 0.6×	197 1.9×	97 1.1×	70 0.9×	8	411
Rui Pan	102 0.6×	129 0.9×	62 0.6×	86 1.0×	30 0.4×	18	371
N. Rajasekar	121 0.7×	153 1.1×	191 1.8×	22 0.3×	75 1.0×	11	457
Hongcan Zhu	54 0.3×	161 1.2×	86 0.8×	54 0.6×	49 0.6×	14	395
Amin Ataie	46 0.3×	116 0.8×	92 0.9×	111 1.3×	49 0.6×	18	383
Yong Kyoung Lee	98 0.6×	84 0.6×	182 1.7×	21 0.2×	75 1.0×	8	410
Kowsar Bavarsad	69 0.4×	117 0.9×	105 1.0×	71 0.8×	39 0.5×	25	430

Countries citing papers authored by Garry Niedermayer

Since Specialization

Citations

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

Fields of papers citing papers by Garry Niedermayer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garry Niedermayer

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