Eva Santermans

47 total papers · 797 total citations
26 papers, 490 citations indexed

About

Eva Santermans is a scholar working on Pulmonary and Respiratory Medicine, Modeling and Simulation and Developmental Neuroscience. According to data from OpenAlex, Eva Santermans has authored 26 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Modeling and Simulation and 5 papers in Developmental Neuroscience. Recurrent topics in Eva Santermans's work include COVID-19 epidemiological studies (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers). Eva Santermans is often cited by papers focused on COVID-19 epidemiological studies (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers). Eva Santermans collaborates with scholars based in Belgium, United States and United Kingdom. Eva Santermans's co-authors include Niel Hens, Philippe Beutels, Jonas R.M. Van Audenaerde, Elly Marcq, Jan P. van Meerbeeck, Jorrit De Waele, Patrick Pauwels, Evelien Smits, Christel Faes and Herman Goossens and has published in prestigious journals such as Blood, PLoS ONE and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Eva Santermans

26 papers receiving 485 citations

Author Peers

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

Author						Papers	Cites
Eva Santermans	125	118	83	78	66	26	490
Zheng-Rong Tiger Li	30 0.2×	24 0.2×	113 1.4×	50 0.6×	205 3.1×	28	466
B. Maurer‐Schultze	82 0.7×	21 0.2×	24 0.3×	82 1.1×	31 0.5×	38	417
Pei M. Aui	18 0.1×	23 0.2×	24 0.3×	27 0.3×	170 2.6×	17	516
Matthew K. Stein	123 1.0×	26 0.2×	88 1.1×	135 1.7×	39 0.6×	23	511
Ludmila Bezrukov	33 0.3×	60 0.5×	123 1.5×	9 0.1×	32 0.5×	15	476
Ning Tu	130 1.0×	26 0.2×	44 0.5×	122 1.6×	10 0.2×	26	463
Eirini Iliaki	44 0.4×	49 0.4×	28 0.3×	37 0.5×	40 0.6×	18	488
Yi Zhou	26 0.2×	33 0.3×	174 2.1×	42 0.5×	52 0.8×	41	520
Derek Soon	37 0.3×	5 0.0×	61 0.7×	103 1.3×	37 0.6×	21	528
Abbas Ahmadi Vasmehjani	15 0.1×	12 0.1×	82 1.0×	63 0.8×	60 0.9×	28	542

Countries citing papers authored by Eva Santermans

Since Specialization

Citations

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

Fields of papers citing papers by Eva Santermans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Santermans

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Santermans. A scholar is included among the top collaborators of Eva Santermans 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 Eva Santermans. Eva Santermans 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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