Fergus McTaggart

2.0k citations
33 papers · 1.6k indexed · h-index 18

Fergus McTaggart

33 papers receiving 1.5k citations

Peers

Fergus McTaggart
Comparison fields: 5 of 104
  • Cancer Research 365
  • Endocrinology, Diabetes and Metabolism 376
  • Surgery 981
  • Computational Theory and Mathematics 230
  • Nephrology 89
Replace Phillip D. Toth with:
Phillip D. Toth United States
Lorenzo Melani Italy
Amy O. Johnson‐Levonas United States
Kevin B. Alton United States
Teddy Kosoglou United States
Reagan H. Bradford United States
Diane MacDougall United States
Margaret E. Brousseau United States
Brian R. Krause United States
Franco Pazzucconi Italy
Fergus McTaggart relative to Phillip D. Toth United States Phillip D. Toth's profile →
Citations per field
00.5×3.2×
Phillip D. Toth · 1×
Citations per year

Countries citing papers authored by Fergus McTaggart

Since Specialization
Citations

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

Fields of papers citing papers by Fergus McTaggart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201211
2 2008132
3 200769
4 200661
5 2004121
6 200382
7 2003117
8 200325
9 200373
10 20032
11 2002174
12 200257
13 2001338
14 20018
15 200032
16 200053
17 199916
18 199614
19 199635
20 199612

About Fergus McTaggart

Fergus McTaggart is a scholar working on Computational Theory and Mathematics, Cancer Research and Surgery, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (20 papers), Computational Drug Discovery Methods (13 papers), Cancer, Lipids, and Metabolism (11 papers), Plant biochemistry and biosynthesis (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Cholesterol and Lipid Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Cancer Research (365 citations), Endocrinology, Diabetes and Metabolism (376 citations) and Surgery (981 citations). Fergus McTaggart has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Robert G. Davidson, Geoffrey A. Holdgate, Peter J.H. Jones, Ali Raza, Anders Olsson, Linda K. Buckett, Alex McCormick, Dennis W. Schneck, M. John Chapman and Walter H.J. Ward. Their work appears in journals such as Biochemistry, Biochemical Journal and Journal of Medicinal Chemistry.

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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