Maria Wiese

66 total papers · 2.7k total citations
41 papers, 1.9k citations indexed

About

Maria Wiese is a scholar working on Molecular Biology, Nutrition and Dietetics and Infectious Diseases. According to data from OpenAlex, Maria Wiese has authored 41 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Nutrition and Dietetics and 7 papers in Infectious Diseases. Recurrent topics in Maria Wiese's work include Gut microbiota and health (14 papers), Clostridium difficile and Clostridium perfringens research (7 papers) and Marine Toxins and Detection Methods (5 papers). Maria Wiese is often cited by papers focused on Gut microbiota and health (14 papers), Clostridium difficile and Clostridium perfringens research (7 papers) and Marine Toxins and Detection Methods (5 papers). Maria Wiese collaborates with scholars based in Denmark, Netherlands and Germany. Maria Wiese's co-authors include Brett A. Neilan, Michelle C. Moffitt, Paul M. D’Agostino, Troco Kaan Mihali, Dennis Sandris Nielsen, Shauna A. Murray, Witold Kot, Koen Venema, Łukasz Krych and Andreas Blennow and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Applied and Environmental Microbiology.

In The Last Decade

Maria Wiese

39 papers receiving 1.9k citations

Hit Papers

Neurotoxic Alkaloids: Sax... 2010 2026 2015 2020 2010 2019 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Maria Wiese 933 670 361 305 261 41 1.9k
Naohisa Ishikawa 508 0.5× 613 0.9× 63 0.2× 409 1.3× 65 0.2× 93 2.1k
Catherine Bernard 1000 1.1× 114 0.2× 114 0.3× 374 1.2× 26 0.1× 71 2.5k
Stefan Mikkat 1.1k 1.2× 405 0.6× 29 0.1× 291 1.0× 35 0.1× 61 2.2k
Jung‐Bum Lee 666 0.7× 71 0.1× 208 0.6× 239 0.8× 266 1.0× 94 3.0k
Y. Hokama 666 0.7× 880 1.3× 39 0.1× 124 0.4× 57 0.2× 112 1.9k
A. A. Seawright 480 0.5× 324 0.5× 94 0.3× 74 0.2× 41 0.2× 101 1.6k
Caterina Manzari 1.1k 1.2× 40 0.1× 60 0.2× 83 0.3× 210 0.8× 52 1.8k
J. S. Patton 627 0.7× 37 0.1× 199 0.6× 265 0.9× 112 0.4× 44 2.7k
Valdemir Melechco Carvalho 474 0.5× 128 0.2× 60 0.2× 79 0.3× 37 0.1× 82 1.9k
Colin G. Rousseaux 387 0.4× 132 0.2× 91 0.3× 43 0.1× 51 0.2× 58 1.6k

Countries citing papers authored by Maria Wiese

Since Specialization
Citations

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

Fields of papers citing papers by Maria Wiese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Wiese

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