Larissa E. van Eijk

12 total papers · 498 total citations
9 papers, 173 citations indexed

About

Larissa E. van Eijk is a scholar working on Infectious Diseases, Neurology and Surgery. According to data from OpenAlex, Larissa E. van Eijk has authored 9 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 3 papers in Neurology and 1 paper in Surgery. Recurrent topics in Larissa E. van Eijk's work include COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Long-Term Effects of COVID-19 (3 papers). Larissa E. van Eijk is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Long-Term Effects of COVID-19 (3 papers). Larissa E. van Eijk collaborates with scholars based in Netherlands, United States and Germany. Larissa E. van Eijk's co-authors include Jan‐Luuk Hillebrands, Harry van Goor, Arno R. Bourgonje, Peter H. J. van der Voort, Amaal Eman Abdulle, Wilfred F.A. den Dunnen, Marcel G. M. Olde Rikkert, Eelke M. Bos, Mathijs Binkhorst and Johannes G. van der Hoeven and has published in prestigious journals such as Free Radical Biology and Medicine, Antioxidants and Redox Signaling and The Journal of Pathology.

In The Last Decade

Larissa E. van Eijk

6 papers receiving 171 citations

Author Peers

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

Author						Papers	Cites
Larissa E. van Eijk	100	67	35	25	21	9	173
Xiaohua Peng	98 1.0×	49 0.7×	54 1.5×	32 1.3×	32 1.5×	16	221
Nicolas Carlier	80 0.8×	41 0.6×	41 1.2×	3 0.1×	26 1.2×	18	172
Meihui Tao	111 1.1×	82 1.2×	56 1.6×	3 0.1×	53 2.5×	14	257
Dixuan Jiang	183 1.8×	63 0.9×	53 1.5×	4 0.2×	34 1.6×	11	281
Christina Damoulari	46 0.5×	19 0.3×	25 0.7×	40 1.6×	26 1.2×	7	98
Magdalini Kyriakopoulou	38 0.4×	29 0.4×	23 0.7×	40 1.6×	40 1.9×	9	157
Konstantina Katrini	29 0.3×	21 0.3×	34 1.0×	51 2.0×	19 0.9×	6	122
Maurizio Loconte	70 0.7×	100 1.5×	13 0.4×	5 0.2×	28 1.3×	7	233
J Skrha	67 0.7×	29 0.4×	27 0.8×	3 0.1×	18 0.9×	8	155
Salma Mujib	94 0.9×	84 1.3×	75 2.1×	2 0.1×	65 3.1×	6	235

Countries citing papers authored by Larissa E. van Eijk

Since Specialization

Citations

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

Fields of papers citing papers by Larissa E. van Eijk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larissa E. van Eijk. 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 Larissa E. van Eijk. The network helps show where Larissa E. van Eijk may publish in the future.

Co-authorship network of co-authors of Larissa E. van Eijk

This figure shows the co-authorship network connecting the top 25 collaborators of Larissa E. van Eijk. A scholar is included among the top collaborators of Larissa E. van Eijk 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 Larissa E. van Eijk. Larissa E. van Eijk 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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