Tinka Tuinstra

481 total citations
9 papers, 384 citations indexed

About

Tinka Tuinstra is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Tinka Tuinstra has authored 9 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Neurology. Recurrent topics in Tinka Tuinstra's work include Multiple Sclerosis Research Studies (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Tinka Tuinstra is often cited by papers focused on Multiple Sclerosis Research Studies (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Tinka Tuinstra collaborates with scholars based in Netherlands, United States and Finland. Tinka Tuinstra's co-authors include Amos Attali, Theo M. Luider, Ernst Suidgeest, Hans van Aken, Eric Ronken, Astrid Vallès, F.M. de Bree, Marcel P. Stoop, L.M.C. Buydens and Agnieszka Smolinska and has published in prestigious journals such as Journal of Cerebral Blood Flow & Metabolism, BMC Bioinformatics and Neurobiology of Disease.

In The Last Decade

Tinka Tuinstra

9 papers receiving 380 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tinka Tuinstra Netherlands	8	195	84	62	61	61	9	384
Cristina González‐Mingot Spain	9	145 0.7×	84 1.0×	44 0.7×	80 1.3×	51 0.8×	30	320
Julian C. Assmann Germany	8	147 0.8×	90 1.1×	102 1.6×	23 0.4×	79 1.3×	11	371
Toshiya Matsubara Japan	7	223 1.1×	18 0.2×	33 0.5×	95 1.6×	23 0.4×	12	459
F. Becquet France	13	214 1.1×	53 0.6×	101 1.6×	33 0.5×	59 1.0×	28	1.2k
Liemin Zhou China	13	191 1.0×	61 0.7×	31 0.5×	18 0.3×	14 0.2×	49	667
Esther Zoref‐Shani Israel	17	392 2.0×	138 1.6×	27 0.4×	33 0.5×	41 0.7×	30	653
Young‐Eun Cho United States	9	159 0.8×	37 0.4×	50 0.8×	31 0.5×	29 0.5×	24	349
Bandana Shrestha United States	11	106 0.5×	48 0.6×	55 0.9×	23 0.4×	90 1.5×	17	324
Sylvette Ayala‐Peña Puerto Rico	9	403 2.1×	39 0.5×	39 0.6×	49 0.8×	18 0.3×	13	547
Tamara Ramadan Switzerland	10	361 1.9×	56 0.7×	30 0.5×	60 1.0×	8 0.1×	11	832

Countries citing papers authored by Tinka Tuinstra

Since Specialization

Citations

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

Fields of papers citing papers by Tinka Tuinstra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tinka Tuinstra

This figure shows the co-authorship network connecting the top 25 collaborators of Tinka Tuinstra. A scholar is included among the top collaborators of Tinka Tuinstra 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 Tinka Tuinstra. Tinka Tuinstra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Smolinska, Agnieszka, Joram M. Posma, Lionel Blanchet, et al.. (2012). Simultaneous analysis of plasma and CSF by NMR and hierarchical models fusion. Analytical and Bioanalytical Chemistry. 403(4). 947–959. 23 indexed citations

Stoop, Marcel P., Therese Rosenling, Amos Attali, et al.. (2012). Minocycline Effects on the Cerebrospinal Fluid Proteome of Experimental Autoimmune Encephalomyelitis Rats. Journal of Proteome Research. 11(8). 4315–4325. 18 indexed citations

Coulier, L, Bas Muilwijk, Sabina Bijlsma, et al.. (2012). Metabolite profiling of small cerebrospinal fluid sample volumes with gas chromatography–mass spectrometry: application to a rat model of multiple sclerosis. Metabolomics. 9(1). 78–87. 5 indexed citations

Rosenling, Therese, Marcel P. Stoop, Amos Attali, et al.. (2012). Profiling and Identification of Cerebrospinal Fluid Proteins in a Rat EAE Model of Multiple Sclerosis. Journal of Proteome Research. 11(4). 2048–2060. 47 indexed citations

Blanchet, Lionel, Agnieszka Smolinska, Amos Attali, et al.. (2011). Fusion of metabolomics and proteomics data for biomarkers discovery: case study on the experimental autoimmune encephalomyelitis. BMC Bioinformatics. 12(1). 254–254. 65 indexed citations

Noga, Marek, Adrie Dane, Amos Attali, et al.. (2011). Metabolomics of cerebrospinal fluid reveals changes in the central nervous system metabolism in a rat model of multiple sclerosis. Metabolomics. 8(2). 253–263. 106 indexed citations

Smolinska, Agnieszka, Amos Attali, Lionel Blanchet, et al.. (2011). NMR and Pattern Recognition Can Distinguish Neuroinflammation and Peripheral Inflammation. Journal of Proteome Research. 10(10). 4428–4438. 19 indexed citations

Immonen, Riikka, Taneli Heikkinen, Antti Nurmi, et al.. (2010). Cerebral Blood Volume Alterations in the Perilesional Areas in the Rat Brain after Traumatic Brain Injury—Comparison with Behavioral Outcome. Journal of Cerebral Blood Flow & Metabolism. 30(7). 1318–1328. 26 indexed citations

Vallès, Astrid, et al.. (2006). Differential regulation of the CXCR2 chemokine network in rat brain trauma: Implications for neuroimmune interactions and neuronal survival. Neurobiology of Disease. 22(2). 312–322. 75 indexed citations

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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