Y. Vrindts‐Gevaert

28 total papers · 529 total citations
22 papers, 418 citations indexed

About

Y. Vrindts‐Gevaert is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Y. Vrindts‐Gevaert has authored 22 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in Y. Vrindts‐Gevaert's work include Cytokine Signaling Pathways and Interactions (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Y. Vrindts‐Gevaert is often cited by papers focused on Cytokine Signaling Pathways and Interactions (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Y. Vrindts‐Gevaert collaborates with scholars based in Belgium, Sweden and United Kingdom. Y. Vrindts‐Gevaert's co-authors include A. Reuter, P Franchimont, Vincent Geenen, U Gaspard, J.J. Legros, Denis Franchimont, Walthère Dewé, P Franchimont, Henri Martens and Jacques Bélaïche and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Cancer and Molecular Endocrinology.

In The Last Decade

Y. Vrindts‐Gevaert

22 papers receiving 396 citations

Author Peers

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

Author						Papers	Cites
Y. Vrindts‐Gevaert	128	90	73	62	59	22	418
Sinnie Sin Man Ng	109 0.9×	78 0.9×	29 0.4×	90 1.5×	87 1.5×	17	440
Eef Hoeben	40 0.3×	70 0.8×	161 2.2×	137 2.2×	64 1.1×	21	391
N. E. Borglin	47 0.4×	54 0.6×	35 0.5×	38 0.6×	62 1.1×	38	468
C. Proto	90 0.7×	79 0.9×	187 2.6×	55 0.9×	90 1.5×	35	454
Ljubica Bogić	85 0.7×	41 0.5×	60 0.8×	149 2.4×	53 0.9×	17	435
P. Guillaumot	48 0.4×	91 1.0×	92 1.3×	182 2.9×	72 1.2×	25	448
Margherita Simonetta	66 0.5×	32 0.4×	33 0.5×	29 0.5×	17 0.3×	19	477
Yang Yang	120 0.9×	31 0.3×	95 1.3×	54 0.9×	25 0.4×	32	425
Cristiana Laura Andreani	108 0.8×	113 1.3×	228 3.1×	52 0.8×	44 0.7×	16	405
Knut Westlund	36 0.3×	40 0.4×	56 0.8×	34 0.5×	79 1.3×	17	483

Countries citing papers authored by Y. Vrindts‐Gevaert

Since Specialization

Citations

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

Fields of papers citing papers by Y. Vrindts‐Gevaert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. Vrindts‐Gevaert. 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 Y. Vrindts‐Gevaert. The network helps show where Y. Vrindts‐Gevaert may publish in the future.

Co-authorship network of co-authors of Y. Vrindts‐Gevaert

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Vrindts‐Gevaert. A scholar is included among the top collaborators of Y. Vrindts‐Gevaert 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 Y. Vrindts‐Gevaert. Y. Vrindts‐Gevaert 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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