Fiona M. Laird

1.7k citations
14 papers · 1.4k indexed · h-index 10
Topics
Alzheimer's disease research and treatments (6 papers)Cholinesterase and Neurodegenerative Diseases (5 papers)Pancreatic and Hepatic Oncology Research (2 papers)

In The Last Decade

Fiona M. Laird

14 papers receiving 1.3k citations

Peers

Fiona M. Laird
Comparison fields: 5 of 87
  • Physiology 681
  • Molecular Biology 477
  • Cellular and Molecular Neuroscience 436
  • Pharmacology 332
  • Neurology 262
Replace Takahiro Suemoto with:
Takahiro Suemoto Japan
Carol S. Himes United States
Michèle Authelet Belgium
Marina V. Yasvoina United Kingdom
Julia M. Rockwood United States
Jerry P. Melchor United States
M. Hutton United States
Smita Majumder United States
Anne Rovelet‐Lecrux France
Cécile Dumanchin France
Fiona M. Laird relative to Takahiro Suemoto Japan Takahiro Suemoto's profile →
Citations per field
00.5×2.8×
Takahiro Suemoto · 1×
Citations per year

Countries citing papers authored by Fiona M. Laird

Since Specialization
Citations

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

Fields of papers citing papers by Fiona M. Laird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fiona M. Laird. 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 Fiona M. Laird. The network helps show where Fiona M. Laird may publish in the future.

Co-authorship network of co-authors of Fiona M. Laird

This figure shows the co-authorship network connecting the top 25 collaborators of Fiona M. Laird. A scholar is included among the top collaborators of Fiona M. Laird 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 Fiona M. Laird. Fiona M. Laird is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 41
2 25
3 1
4 143
5 93
6 225
7
Darfur: relying on traditional skills.
1
8 59
9 84
10 431
11 101
12 1
13 1
14 147

About Fiona M. Laird

Fiona M. Laird is a scholar working on Pharmacology, Physiology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Physiology (681 citations), Cellular and Molecular Neuroscience (436 citations) and Pharmacology (332 citations). Fiona M. Laird has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Philip C. Wong, Donald L. Price, Alena Savonenko, Mohamed H. Farah, Hey‐Kyoung Lee, Huaibin Cai, Hongjin Wen, Hsueh‐Cheng Chiang, Tatiana Melnikova and William Davies. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The American Journal of Gastroenterology.

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

Rankless by CCL
2026