Catherine Maclachlan

1.1k citations
22 papers · 520 · h-index 14

Impact in

Papers in

Catherine Maclachlan

22 papers receiving 519 citations

Peers

Catherine Maclachlan
Comparison fields: 5 of 95
  • Endocrinology 90
  • Clinical Biochemistry 39
  • Structural Biology 8
  • Cellular and Molecular Neuroscience 84
  • Molecular Medicine 21
Replace Susanne Ressl with:
Susanne Ressl United States
Yuta Matsumura Japan
Hagit Sason Israel
Luisa Filippin Italy
Maria Alba Sorolla Spain
Julie S. Valastyan United States
Sara Alvira Spain
Weina Shang China
Giuseppe Martano Italy
Karen A. Lewis United States
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Citations per year

Countries citing papers authored by Catherine Maclachlan

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Maclachlan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201977
2 201663
3 201561
4 201840
5 201736
6 202030
7 202229
8 201727
9 201727
10 202119
11 201818
12 201817
13 202316
14 201613
15 20209
16 20227
17 20207
18 20197
19 20206
20 20235

About Catherine Maclachlan

Catherine Maclachlan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Molecular Medicine and Physiology, having authored 22 papers that have together received 520 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Cellular transport and secretion (3 papers), Antibiotic Resistance in Bacteria (3 papers), Photoreceptor and optogenetics research (3 papers), Alzheimer's disease research and treatments (2 papers), Vibrio bacteria research studies (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Legionella and Acanthamoeba research (2 papers). The work is most often cited by research in Endocrinology (90 citations), Clinical Biochemistry (39 citations), Structural Biology (8 citations), Cellular and Molecular Neuroscience (84 citations) and Molecular Medicine (21 citations). Catherine Maclachlan has collaborated with scholars based in Switzerland, United Kingdom and Spain. Frequent co-authors include Graham Knott, Melanie Blokesch, Charles Van der Henst, Bernard L. Schneider, Paul J. Dyson, Ronald Fook Seng Lee, Stéphane Escrig, Anders Meibom, Roman Chrast and Riekelt H. Houtkooper. Their work appears in journals such as Nature Communications, New Zealand Veterinary Journal, Cerebral Cortex, Frontiers in Neuroanatomy and mBio.

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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