Anne‐Lise Matharu

658 citations
11 papers · 555 · h-index 8

Impact in

    • Microbial Natural Products and Biosynthesis
    • Fungal Biology and Applications
  • Physiology top 5%
    • Adenosine and Purinergic Signaling

Papers in

Anne‐Lise Matharu

11 papers receiving 541 citations

Peers

Anne‐Lise Matharu
Comparison fields: 5 of 64
  • Pharmacology 242
  • Physiology 66
  • Cellular and Molecular Neuroscience 164
  • Biotechnology 55
  • Molecular Biology 380
Replace Y Teshima with:
Y Teshima Japan
Eckhard Bender Germany
Kohei Yamada Japan
R L Kincaid United States
Shiro Takekawa Japan
D.J. Takemoto United States
Ronnie E. Gorman United States
Klim King Taiwan
Yi Chai China
Siobhan Malany United States
Anne‐Lise Matharu relative to Y Teshima Japan Y Teshima's profile →
Citations per field
00.5×
Y Teshima · 1×
Citations per year

Countries citing papers authored by Anne‐Lise Matharu

Since Specialization
Citations

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

Fields of papers citing papers by Anne‐Lise Matharu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne‐Lise Matharu. 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 Anne‐Lise Matharu. The network helps show where Anne‐Lise Matharu may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1999235
2 200176
3 200059
4 200152
5 199843
6 200236
7 200431
8 201011
9 20016
10 20025
11 20011

About Anne‐Lise Matharu

Anne‐Lise Matharu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Physiology and Biochemistry, having authored 11 papers that have together received 555 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Ion channel regulation and function (3 papers), Enzyme Structure and Function (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Biochemical and Molecular Research (2 papers), Adenosine and Purinergic Signaling (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Pharmacology (242 citations), Physiology (66 citations), Cellular and Molecular Neuroscience (164 citations), Biotechnology (55 citations) and Molecular Biology (380 citations). Anne‐Lise Matharu has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Eamonn Kelly, Stuart J. Mundell, Thomas J. Simpson, John Crosby, Russell J. Cox, Jeffrey Benovic, Paul F. Long, James Staunton, Christian Bisang and Peter Roberts‎. Their work appears in journals such as Molecular Pharmacology, European Journal of Biochemistry, Journal of Neurochemistry, Journal of Biological Chemistry and Nature.

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.

Explore authors with similar magnitude of impact