Maud Nilsson

30 papers receiving 968 citations

Peers

Maud Nilsson
Comparison fields: 5 of 83
  • Molecular Medicine 650
  • Applied Microbiology and Biotechnology 114
  • Endocrinology 228
  • Research and Theory 20
  • Pollution 233
Replace Doroti de Oliveira Garcia with:
Doroti de Oliveira Garcia Brazil
Andreza Francisco Martins Brazil
Recep Öztürk Türkiye
Jarne M. van Hattem Netherlands
Ming-Feng Lin Taiwan
Ilhem Boutiba-Ben Boubaker Tunisia
Basma Mnif Tunisia
Tamara N Platteel Netherlands
Carmen Velasco Spain
Patricia J. Baudry Canada
Maud Nilsson relative to Doroti de Oliveira Garcia Brazil Doroti de Oliveira Garcia's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maud Nilsson

Since Specialization
Citations

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

Fields of papers citing papers by Maud Nilsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maud Nilsson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maud Nilsson Line = papers co-authored together Maud Nilsson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007318
2 2013144
3 201760
4 201740
5 200839
6 201732
7 201426
8 201825
9 201825
10 201925
11 199824
12 199322
13 199322
14 199121
15 199521
16 202121
17 201720
18 201619
19 201015
20 199912

About Maud Nilsson

Maud Nilsson is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Pollution, Pharmacology and Endocrinology, having authored 30 papers that have together received 999 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (20 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Antibiotic Use and Resistance (6 papers), Enterobacteriaceae and Cronobacter Research (3 papers), Bacterial biofilms and quorum sensing (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). The work is most often cited by research in Molecular Medicine (650 citations), Applied Microbiology and Biotechnology (114 citations), Endocrinology (228 citations), Research and Theory (20 citations) and Pollution (233 citations). Maud Nilsson has collaborated with scholars based in Sweden, China and Vietnam. Frequent co-authors include Lennart E. Nilsson, Håkan Hanberger, Måns Nilsson, K. Dornbusch, Maria Tärnberg, Åse Östholm Balkhed, Anita Hällgren, Lennart E. Nilsson, Bjorn E. Berglund and Berit Lindahl. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, International Journal of Antimicrobial Agents, Antimicrobial Agents and Chemotherapy, PLoS ONE and Apmis.

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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