Nina Sundström

117 total papers · 6.2k total citations
28 papers, 438 citations indexed

About

Nina Sundström is a scholar working on Neurology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nina Sundström has authored 28 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Neurology, 17 papers in Cellular and Molecular Neuroscience and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nina Sundström's work include Traumatic Brain Injury and Neurovascular Disturbances (19 papers), Cerebrospinal fluid and hydrocephalus (17 papers) and Neurosurgical Procedures and Complications (9 papers). Nina Sundström is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (19 papers), Cerebrospinal fluid and hydrocephalus (17 papers) and Neurosurgical Procedures and Complications (9 papers). Nina Sundström collaborates with scholars based in Sweden, Denmark and United States. Nina Sundström's co-authors include Jan Malm, Anders Eklund, Sara Qvarlander, Lars‐Owe Koskinen, Carsten Wikkelsø, Katarina Laurell, Mats Tullberg, Hanna Israelsson, Simon Agerskov and Per Hellström and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Applied Physiology.

In The Last Decade

Nina Sundström

27 papers receiving 429 citations

Author Peers

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

Author						Papers	Cites
Nina Sundström	318	287	86	74	38	28	438
Zhongyu Luo	176 0.6×	259 0.9×	93 1.1×	80 1.1×	15 0.4×	24	440
Luíza da Silva Lopes	203 0.6×	230 0.8×	25 0.3×	108 1.5×	24 0.6×	41	384
Andrew Durnford	229 0.7×	135 0.5×	47 0.5×	112 1.5×	18 0.5×	27	454
Gregory W. Hornig	137 0.4×	204 0.7×	70 0.8×	111 1.5×	14 0.4×	16	434
Chihiro Akiba	177 0.6×	231 0.8×	90 1.0×	110 1.5×	26 0.7×	25	371
Massimiliano Todisco	274 0.9×	134 0.5×	31 0.4×	45 0.6×	52 1.4×	35	451
Florence Delecluse	221 0.7×	164 0.6×	22 0.3×	44 0.6×	34 0.9×	19	450
Akatsuki Wakayama	149 0.5×	129 0.4×	38 0.4×	26 0.4×	24 0.6×	40	383
Yihui Qiu	156 0.5×	113 0.4×	57 0.7×	26 0.4×	75 2.0×	22	447
Courtney Berezuk	179 0.6×	266 0.9×	96 1.1×	117 1.6×	70 1.8×	15	481

Countries citing papers authored by Nina Sundström

Since Specialization

Citations

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

Fields of papers citing papers by Nina Sundström

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Sundström

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