W. Schaafsma

2.2k total citations · 1 hit paper
36 papers, 1.4k citations indexed

About

W. Schaafsma is a scholar working on Statistics and Probability, Artificial Intelligence and Neurology. According to data from OpenAlex, W. Schaafsma has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 6 papers in Neurology. Recurrent topics in W. Schaafsma's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Advanced Statistical Methods and Models (6 papers) and Bayesian Methods and Mixture Models (5 papers). W. Schaafsma is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Advanced Statistical Methods and Models (6 papers) and Bayesian Methods and Mixture Models (5 papers). W. Schaafsma collaborates with scholars based in Netherlands, Germany and Spain. W. Schaafsma's co-authors include Bart J. L. Eggen, Nieske Brouwer, Erik Boddeke, Divya Raj, Inge R. Holtman, Zhuoran Yin, Paul D. Wes, Marie Orre, Elly M. Hol and Thomas Möller and has published in prestigious journals such as ACS Applied Materials & Interfaces, Neurobiology of Aging and Brain Behavior and Immunity.

In The Last Decade

W. Schaafsma

33 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Induction of a common microglia gene expression signature by aging and neurodegenerative conditions: a co-expression meta-analysis

2015 437 citations Inge R. Holtman, Divya Raj et al. Acta Neuropathologica Communications profile →

Peers

W. Schaafsma

NEURO

IMMUN

MB

PHYSI

DN

Gaia Rizzo Italy

Zhen Xu China

Tian Zhou China

Kristin M. Bullock United States

Maximilian Lenz Germany

Levi B. Wood United States

David A. Mahns Australia

Chi Wang Ip Germany

Lang Wang China

Emmette R. Hutchison United States

Gaia Rizzo Italy

W. Schaafsma

394 ×0.6

NEURO

130 ×0.4

IMMUN

421 ×1.4

MB

221 ×1.0

PHYSI

28 ×0.2

DN

Citations per year, relative to W. Schaafsma W. Schaafsma (= 1×) peers Gaia Rizzo

Countries citing papers authored by W. Schaafsma

Since Specialization

Citations

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

Fields of papers citing papers by W. Schaafsma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

González, Francisco, Iban Quintana, Francisco Javier Rodríguez, et al.. (2021). Bioresorbable and Mechanically Optimized Nerve Guidance Conduit Based on a Naturally Derived Medium Chain Length Polyhydroxyalkanoate and Poly(ε-Caprolactone) Blend. ACS Biomaterials Science & Engineering. 7(2). 672–689. 16 indexed citations

2.

Quintana, Iban, Francisco Javier Rodríguez, Colin Sherborne, et al.. (2020). UV-Casting on Methacrylated PCL for the Production of a Peripheral Nerve Implant Containing an Array of Porous Aligned Microchannels. Polymers. 12(4). 971–971. 19 indexed citations

3.

Grillo, Elisabetta, et al.. (2019). Role of VEGFs in metabolic disorders. Angiogenesis. 23(2). 119–130. 37 indexed citations

4.

Schaafsma, W., Elisabetta Grillo, Michela Corsini, et al.. (2019). Natural Histogel-Based Bio-Scaffolds for Sustaining Angiogenesis in Beige Adipose Tissue. Cells. 8(11). 1457–1457. 13 indexed citations

5.

Yin, Zhuoran, Divya Raj, W. Schaafsma, et al.. (2018). Low-Fat Diet With Caloric Restriction Reduces White Matter Microglia Activation During Aging. Frontiers in Molecular Neuroscience. 11. 65–65. 42 indexed citations

6.

Schaafsma, W., Laura Bozal‐Basterra, Sabrina Jacobs, et al.. (2017). Maternal inflammation induces immune activation of fetal microglia and leads to disrupted microglia immune responses, behavior, and learning performance in adulthood. Neurobiology of Disease. 106. 291–300. 99 indexed citations

7.

Mantione, Daniele, Isabel del Agua, W. Schaafsma, et al.. (2017). Low-Temperature Cross-Linking of PEDOT:PSS Films Using Divinylsulfone. ACS Applied Materials & Interfaces. 9(21). 18254–18262. 97 indexed citations

8.

Holtman, Inge R., Divya Raj, Jeremy A. Miller, et al.. (2015). Induction of a common microglia gene expression signature by aging and neurodegenerative conditions: a co-expression meta-analysis. Acta Neuropathologica Communications. 3(1). 31–31. 437 indexed citations breakdown →

9.

Schaafsma, W., S. Jacobs, Susanne A. Wolf, et al.. (2015). Long-lasting pro-inflammatory suppression of microglia by LPS-preconditioning is mediated by RelB-dependent epigenetic silencing. Brain Behavior and Immunity. 48. 205–221. 129 indexed citations

10.

Raj, Divya, Dick Jaarsma, Inge R. Holtman, et al.. (2014). Priming of microglia in a DNA-repair deficient model of accelerated aging. Neurobiology of Aging. 35(9). 2147–2160. 101 indexed citations

11.

Czepiel, Marcin, Veerakumar Balasubramaniyan, W. Schaafsma, et al.. (2011). Differentiation of induced pluripotent stem cells into functional oligodendrocytes. Glia. 59(6). 882–892. 99 indexed citations

12.

Albers, Casper J. & W. Schaafsma. (2003). Estimating a density by adapting an initial guess. Computational Statistics & Data Analysis. 42(1-2). 27–36. 5 indexed citations

13.

Schaafsma, W.. (1999). Guarded weights of evidence and acceptability profiles based on signs : I. Permutation arguments - Discussion. Australian & New Zealand Journal of Statistics. 41(1). 107–108.

14.

Schaafsma, W., et al.. (1999). AN OPTIMUM PROPERTY FOR FIDUCIAL INFERENCE. Statistics & Risk Modeling. 17(3). 1 indexed citations

15.

Thunnissen, Erik, et al.. (1992). Further evaluation of quantitative nuclear image features for classification of lung carcinomas. Pathology - Research and Practice. 188(4-5). 531–535. 15 indexed citations

16.

Gerver, W. J. M., N.M. Drayer, & W. Schaafsma. (1990). The Shape of a Child: Is it Normal or Abnormal?. Acta Paediatrica. 79(8-9). 861–862. 1 indexed citations

17.

Meulen, Egbert A. van der, et al.. (1990). Testing some hypotheses on human evolution and sexual dimorphism. Human Evolution. 5(5). 449–456. 1 indexed citations

18.

Gerver, W. J. M., N.M. Drayer, & W. Schaafsma. (1989). Reference Values of Anthropometric Measurements in Dutch Children. Acta Paediatrica. 78(2). 307–313. 35 indexed citations

19.

Gramsbergen, Albert, et al.. (1987). Determining nucleolar multiplicity and cell number from sectional data. Journal of Microscopy. 145(1). 69–87. 5 indexed citations

20.

Ambergen, A.W. & W. Schaafsma. (1985). Interval estimates for posterior probabilities in a multivariate normal classification model. Journal of Multivariate Analysis. 16(3). 432–439. 2 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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