Maren Diels

15 total papers · 478 total citations
7 papers, 154 citations indexed

About

Maren Diels is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Maren Diels has authored 7 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Epidemiology and 2 papers in Surgery. Recurrent topics in Maren Diels's work include Mycobacterium research and diagnosis (7 papers), Tuberculosis Research and Epidemiology (7 papers) and Infectious Diseases and Tuberculosis (2 papers). Maren Diels is often cited by papers focused on Mycobacterium research and diagnosis (7 papers), Tuberculosis Research and Epidemiology (7 papers) and Infectious Diseases and Tuberculosis (2 papers). Maren Diels collaborates with scholars based in Belgium, United States and France. Maren Diels's co-authors include Leen Rigouts, Bouke C. de Jong, Emmanuel André, Armand Van Deun, Nele Coeck, Pim de Rijk, Elisa Ardizzoni, Caroline Allix‐Béguec, Agathe Jouet and Silke Feuerriegel and has published in prestigious journals such as Scientific Reports, European Respiratory Journal and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Maren Diels

7 papers receiving 151 citations

Author Peers

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

Author Last Decade Papers Cites
Maren Diels 137 126 46 29 20 7 154
Elena Romancenco 151 1.1× 147 1.2× 59 1.3× 33 1.1× 15 0.8× 8 191
Priti Rathod 138 1.0× 138 1.1× 45 1.0× 48 1.7× 18 0.9× 5 169
Cheon Tae Kim 112 0.8× 91 0.7× 30 0.7× 34 1.2× 8 0.4× 9 128
Simone Gonçalves Senna 146 1.1× 147 1.2× 53 1.2× 36 1.2× 23 1.1× 11 163
Sashen Moodley 193 1.4× 162 1.3× 44 1.0× 52 1.8× 29 1.4× 8 237
Rico Hömke 136 1.0× 140 1.1× 38 0.8× 37 1.3× 15 0.8× 8 164
Priti Kambli 147 1.1× 141 1.1× 44 1.0× 37 1.3× 29 1.4× 12 169
Lesibana Anthony Malinga 133 1.0× 115 0.9× 68 1.5× 22 0.8× 20 1.0× 12 156
A. Rayner 95 0.7× 113 0.9× 42 0.9× 19 0.7× 20 1.0× 9 150
Léonie Goeminne 189 1.4× 171 1.4× 71 1.5× 65 2.2× 28 1.4× 8 261

Countries citing papers authored by Maren Diels

Since Specialization
Citations

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

Fields of papers citing papers by Maren Diels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maren Diels

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