Maarten van Dongen

20 total papers · 2.2k total citations
12 papers, 296 citations indexed

About

Maarten van Dongen is a scholar working on Molecular Biology, Applied Microbiology and Biotechnology and Molecular Medicine. According to data from OpenAlex, Maarten van Dongen has authored 12 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Applied Microbiology and Biotechnology and 4 papers in Molecular Medicine. Recurrent topics in Maarten van Dongen's work include Antibiotic Use and Resistance (5 papers), Antibiotic Resistance in Bacteria (4 papers) and ATP Synthase and ATPases Research (4 papers). Maarten van Dongen is often cited by papers focused on Antibiotic Use and Resistance (5 papers), Antibiotic Resistance in Bacteria (4 papers) and ATP Synthase and ATPases Research (4 papers). Maarten van Dongen collaborates with scholars based in Netherlands, India and United States. Maarten van Dongen's co-authors include J.A. Berden, Jayaseelan Murugaiyan, Pascale Salameh, Katia Iskandar, Laurent Molinier, Vindana Chibabhai, Saïd El Hage, Dalal Hammoudi Halat, Christine Roques and Ariel Blocker and has published in prestigious journals such as European Journal of Biochemistry, Biochimica et Biophysica Acta (BBA) - Bioenergetics and PLoS Computational Biology.

In The Last Decade

Maarten van Dongen

11 papers receiving 288 citations

Author Peers

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

Author						Papers	Cites
Maarten van Dongen	138	59	57	29	27	12	296
Sanjay Rathod	83 0.6×	84 1.4×	64 1.1×	45 1.6×	32 1.2×	13	365
Melissa Hernández-Durán	116 0.8×	120 2.0×	24 0.4×	32 1.1×	24 0.9×	22	264
Javad Yasbolaghi Sharahi	146 1.1×	161 2.7×	43 0.8×	32 1.1×	41 1.5×	17	362
Ronald W. Kenyon	185 1.3×	86 1.5×	22 0.4×	35 1.2×	21 0.8×	12	331
Benjamin Havenga	116 0.8×	120 2.0×	34 0.6×	37 1.3×	16 0.6×	10	308
Yaiza Gabasa	93 0.7×	103 1.7×	21 0.4×	21 0.7×	21 0.8×	14	253
Carlos Ratia	101 0.7×	123 2.1×	23 0.4×	39 1.3×	25 0.9×	12	310
Agnė Giedraitienė	78 0.6×	134 2.3×	28 0.5×	34 1.2×	25 0.9×	16	326
Kenneth Rachwalski	123 0.9×	80 1.4×	20 0.4×	15 0.5×	40 1.5×	12	320
Hayley Wilson	96 0.7×	72 1.2×	21 0.4×	34 1.2×	22 0.8×	10	308

Countries citing papers authored by Maarten van Dongen

Since Specialization

Citations

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

Fields of papers citing papers by Maarten van Dongen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maarten van Dongen. 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 Maarten van Dongen. The network helps show where Maarten van Dongen may publish in the future.

Co-authorship network of co-authors of Maarten van Dongen

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