Maria Backlund

2.0k citations
28 papers · 1.5k · h-index 20

Impact in

Papers in

Maria Backlund

28 papers receiving 1.4k citations

Peers

Maria Backlund
Comparison fields: 5 of 116
  • Pharmacology 257
  • Ecology, Evolution, Behavior and Systematics 415
  • Health, Toxicology and Mutagenesis 266
  • Cancer Research 148
  • Molecular Biology 638
Replace Douglas E. Goeger with:
Douglas E. Goeger United States
Nilesh W. Gaikwad United States
Hehua Lei China
Stefanie Hessel‐Pras Germany
Hong‐Nong Chou Taiwan
Sandra E. Graham-Lorence United States
Satoru Ohgiya Japan
M Nakayasu Japan
F. Iverson Canada
Christian Helvig United States
Maria Backlund relative to Douglas E. Goeger United States Douglas E. Goeger's profile →
Citations per field
00.5×3.1×
Douglas E. Goeger · 1×
Citations per year

Countries citing papers authored by Maria Backlund

Since Specialization
Citations

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

Fields of papers citing papers by Maria Backlund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maria Backlund, 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 Maria Backlund Line = papers co-authored together Maria Backlund links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999180
2 2018164
3 1999123
4 2010112
5 1997112
6 2000104
7 200485
8 200470
9 200667
10 201655
11 200152
12 199651
13 200446
14 200743
15 199936
16 201735
17 200134
18 200233
19 202028
20 201028

About Maria Backlund

Maria Backlund is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Computational Theory and Mathematics, Pharmacology and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Plant Diversity and Evolution (7 papers), Plant and Fungal Species Descriptions (5 papers), Computational Drug Discovery Methods (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), Receptor Mechanisms and Signaling (4 papers), Plant and animal studies (4 papers), Toxic Organic Pollutants Impact (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Pharmacology (257 citations), Ecology, Evolution, Behavior and Systematics (415 citations), Health, Toxicology and Mutagenesis (266 citations), Cancer Research (148 citations) and Molecular Biology (638 citations). Maria Backlund has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Magnus Ingelman‐Sundberg, Birgitta Bremer, Bengt Oxelman, Inger Johansson, Souren Mkrtchian, Henrik Lantz, Robert K. Jansen, Ki-Joong Kim, Pär Matsson and Agneta Rannug. Their work appears in journals such as Molecular Pharmacology, Taxon, Journal of Pharmaceutical Sciences, Biochemical and Biophysical Research Communications and Gene.

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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