J. M. Kros

679 total citations
11 papers, 486 citations indexed

About

J. M. Kros is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, J. M. Kros has authored 11 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Genetics. Recurrent topics in J. M. Kros's work include Alzheimer's disease research and treatments (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Glioma Diagnosis and Treatment (2 papers). J. M. Kros is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Glioma Diagnosis and Treatment (2 papers). J. M. Kros collaborates with scholars based in Netherlands, United States and Belgium. J. M. Kros's co-authors include Cornelia M. van Duijn, Christine Van Broeckhoven, Patrick Cras, C. Ceuterick, Dana A. M. Mustafa, Ping‐Pin Zheng, Lennard J. M. Dekker, Peter A.E. Sillevis Smitt, Jean‐Jacques Martin and Peter Heutink and has published in prestigious journals such as Neurology, Annals of Neurology and American Journal Of Pathology.

In The Last Decade

J. M. Kros

11 papers receiving 476 citations

Peers

J. M. Kros

PHYSI

MB

NEURO

GENET

Marie-Christine Guiot Canada

Michela Glionna Italy

Ewa Golańska Poland

Sara Cioffi Italy

Alexandra M. Nicholson United States

Yoshio Morimatsu Japan

Corinna Hendrich Germany

Seung‐Pil Yang Canada

Yuki Ozaki Japan

Satoru Tada Japan

Marie-Christine Guiot Canada

J. M. Kros

175 ×0.6

PHYSI

186 ×0.8

MB

122 ×0.8

NEURO

39 ×0.5

NEURO

106 ×1.4

GENET

Citations per year, relative to J. M. Kros J. M. Kros (= 1×) peers Marie-Christine Guiot

Countries citing papers authored by J. M. Kros

Since Specialization

Citations

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

Fields of papers citing papers by J. M. Kros

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Kros. 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 J. M. Kros. The network helps show where J. M. Kros may publish in the future.

Co-authorship network of co-authors of J. M. Kros

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

All Works

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11 of 11 papers shown

1.

Vaart, Thijs van der, Maarten M.J. Wijnenga, Pim J. French, et al.. (2022). OS07.8.A Prognosis in IDH-mutant glioma: the role of extent-of-resection, age and tumor grade. Neuro-Oncology. 24(Supplement_2). ii17–ii17. 2 indexed citations

2.

Bent, Martin J. van den, Sara Erridge, Michael A. Vogelbaum, et al.. (2019). PL3.3 Second interim and first molecular analysis of the EORTC randomized phase III intergroup CATNON trial on concurrent and adjuvant temozolomide in anaplastic glioma without 1p/19q codeletion. Neuro-Oncology. 21(Supplement_3). iii3–iii3. 18 indexed citations

3.

Kros, J. M., et al.. (2014). Circulating glioma biomarkers. Neuro-Oncology. 17(3). 343–60. 92 indexed citations

4.

Leeuwen, F.W. van, Paula van Tijn, M.A.F. Sonnemans, et al.. (2006). Frameshift proteins in autosomal dominant forms of Alzheimer disease and other tauopathies. Neurology. 66(1_suppl_1). S86–92. 38 indexed citations

5.

Kumar‐Singh, Samir, Patrick Cras, Rong Wang, et al.. (2002). Dense-Core Senile Plaques in the Flemish Variant of Alzheimer's Disease Are Vasocentric. American Journal Of Pathology. 161(2). 507–520. 89 indexed citations

6.

Kros, J. M., et al.. (2000). Papillary meningioma with pleural metastasis: case report and literature review. Acta Neurologica Scandinavica. 102(3). 200–202. 27 indexed citations

7.

Cras, Patrick, F. van Harskamp, Lydia Hendriks, et al.. (1998). Presenile Alzheimer dementia characterized by amyloid angiopathy and large amyloid core type senile plaques in the APP 692Ala→Gly mutation. Acta Neuropathologica. 96(3). 253–260. 88 indexed citations

8.

Haitsma, Iain, et al.. (1997). The brain parenchyma — PO2 catheter interface, a histopathological study in the rat. Clinical Neurology and Neurosurgery. 99. S116–S116. 8 indexed citations

9.

Heutink, Peter, M Stevens, Patrizia Rizzu, et al.. (1997). Hereditary frontotemporal dementia is linked to chromosome 17q21—q22: A genetic and clinicopathological study of three dutch families. Annals of Neurology. 41(2). 150–159. 122 indexed citations

10.

Rosso, Sonia M., et al.. (1996). DETECTION OF CHROMOSOMAL ABERRATIONS BY INTERPHASE CYTOGENETICS IN BIOPSIES OF RECURRENT OLIGODENDROGLIOMAS. Journal of Neuropathology & Experimental Neurology. 55(5). 639–639. 1 indexed citations

11.

Cras, Patrick, F. van Harskamp, S Stefanko, et al.. (1995). AMYLOID ANGIOPATHY IS ASSOCIATED WITH A LARGE AMYLOID CORE TYPE OF SENILE PLAQUES IN THE AMYLOID PRECURSOR PROTEIN 692ALA→GLY MUTATION. Journal of Neuropathology & Experimental Neurology. 54(3). 431–431. 1 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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