Eva Sammels

18 total papers · 554 total citations
10 papers, 443 citations indexed

About

Eva Sammels is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Eva Sammels has authored 10 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Genetics. Recurrent topics in Eva Sammels's work include Genetic and Kidney Cyst Diseases (4 papers), Biomedical Research and Pathophysiology (4 papers) and Pancreatic function and diabetes (2 papers). Eva Sammels is often cited by papers focused on Genetic and Kidney Cyst Diseases (4 papers), Biomedical Research and Pathophysiology (4 papers) and Pancreatic function and diabetes (2 papers). Eva Sammels collaborates with scholars based in Belgium, United States and Germany. Eva Sammels's co-authors include Ludwig Missiaen, Jan B. Parys, Geert Bultynck, Humbert De Smedt, Humbert De Smedt, Benoit Devogelaere, Djalila Mekahli, Stefan Somlo, Yiqiang Cai and Lambertus P. van den Heuvel and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Endocrinology.

In The Last Decade

Eva Sammels

10 papers receiving 440 citations

Author Peers

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

Author						Papers	Cites
Eva Sammels	273	127	111	85	49	10	443
Sertac N. Kip	214 0.8×	84 0.7×	29 0.3×	59 0.7×	77 1.6×	12	433
F O'Rourke	305 1.1×	47 0.4×	97 0.9×	18 0.2×	35 0.7×	15	484
Catherine Bove	87 0.3×	71 0.6×	65 0.6×	32 0.4×	14 0.3×	12	441
Jill H. Clark	151 0.6×	33 0.3×	26 0.2×	81 1.0×	20 0.4×	11	401
Gavin J. Searle	241 0.9×	61 0.5×	44 0.4×	18 0.2×	59 1.2×	11	460
Na Luo	281 1.0×	178 1.4×	139 1.3×	78 0.9×	20 0.4×	20	465
Chenwen Zhu	211 0.8×	168 1.3×	50 0.5×	84 1.0×	63 1.3×	7	378
Sarah Melissa P Jacobo	242 0.9×	47 0.4×	50 0.5×	17 0.2×	48 1.0×	11	488
Valeria Padovano	230 0.8×	220 1.7×	51 0.5×	90 1.1×	38 0.8×	14	453
Michelle J. Muessel	191 0.7×	111 0.9×	26 0.2×	52 0.6×	34 0.7×	10	426

Countries citing papers authored by Eva Sammels

Since Specialization

Citations

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

Fields of papers citing papers by Eva Sammels

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Sammels

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