Jan G.E. Weerts

13 total papers · 904 total citations
8 papers, 596 citations indexed

About

Jan G.E. Weerts is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Jan G.E. Weerts has authored 8 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Jan G.E. Weerts's work include Brain Metastases and Treatment (2 papers), Acute Ischemic Stroke Management (2 papers) and Multiple Sclerosis Research Studies (2 papers). Jan G.E. Weerts is often cited by papers focused on Brain Metastases and Treatment (2 papers), Acute Ischemic Stroke Management (2 papers) and Multiple Sclerosis Research Studies (2 papers). Jan G.E. Weerts collaborates with scholars based in Netherlands, France and United States. Jan G.E. Weerts's co-authors include Frederik Barkhof, Philip Scheltens, Florence Pasquier, Didier Leys, F. Mounier‐Véhier, J.J. Heimans, Tjeerd J. Postma, J.H.T.M. van Waesberghe, Jonas A. Castelijns and C.J. van Groeningen and has published in prestigious journals such as Neurobiology of Aging, American Journal of Neuroradiology and Journal of Pediatric Surgery.

In The Last Decade

Jan G.E. Weerts

8 papers receiving 587 citations

Author Peers

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

Author						Papers	Cites
Jan G.E. Weerts	252	168	130	121	116	8	596
Trojanowski Jq	95 0.4×	204 1.2×	96 0.7×	123 1.0×	108 0.9×	7	639
C. A. Maurage	165 0.7×	175 1.0×	143 1.1×	105 0.9×	78 0.7×	22	665
G. Bertha	154 0.6×	138 0.8×	75 0.6×	222 1.8×	179 1.5×	14	607
Yoo Young Hoogendam	158 0.6×	88 0.5×	57 0.4×	52 0.4×	62 0.5×	13	625
Tanya C. Lye	133 0.5×	156 0.9×	97 0.7×	47 0.4×	184 1.6×	13	532
Walter M. Palm	159 0.6×	124 0.7×	115 0.9×	74 0.6×	49 0.4×	17	678
Francesco Tibuzzi	107 0.4×	153 0.9×	39 0.3×	141 1.2×	91 0.8×	19	538
Auke P.A. Appelman	150 0.6×	156 0.9×	52 0.4×	273 2.3×	158 1.4×	24	596
F. A. Rubino	138 0.5×	355 2.1×	73 0.6×	117 1.0×	144 1.2×	14	610
Arani Nitkunan	136 0.5×	189 1.1×	47 0.4×	154 1.3×	126 1.1×	22	551

Countries citing papers authored by Jan G.E. Weerts

Since Specialization

Citations

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

Fields of papers citing papers by Jan G.E. Weerts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan G.E. Weerts. 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 Jan G.E. Weerts. The network helps show where Jan G.E. Weerts may publish in the future.

Co-authorship network of co-authors of Jan G.E. Weerts

This figure shows the co-authorship network connecting the top 25 collaborators of Jan G.E. Weerts. A scholar is included among the top collaborators of Jan G.E. Weerts 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 Jan G.E. Weerts. Jan G.E. Weerts 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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