Stewart L. MacLeod

1.6k citations
39 papers · 1.3k indexed · h-index 20

Stewart L. MacLeod

37 papers receiving 1.2k citations

Peers

Stewart L. MacLeod
Comparison fields: 5 of 94
  • Pharmacology 269
  • Cancer Research 201
  • Genetics 348
  • Molecular Biology 599
  • Oncology 237
Replace Christelle Cauffiez with:
Christelle Cauffiez France
Patricia K. Eagon United States
Rosemary Laughlin United States
Diane Stroup United States
Yang Xie China
Chaline Brown United States
Richard A. Castro United States
Carrie A. Vyhlidal United States
Sierk Haenisch Germany
Livia Pisciotta Italy
Stewart L. MacLeod relative to Christelle Cauffiez France Christelle Cauffiez's profile →
Citations per field
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Christelle Cauffiez · 1×
Citations per year

Countries citing papers authored by Stewart L. MacLeod

Since Specialization
Citations

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

Fields of papers citing papers by Stewart L. MacLeod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stewart L. MacLeod. 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 Stewart L. MacLeod. The network helps show where Stewart L. MacLeod may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20200
3 20208
4 201411
5 201411
6 201427
7 20123
8 20118
9 201137
10 201125
11 201157
12 201062
13 200620
14 2005245
15
Estrogen influence on lectin binding in Ca Ski cervical tumors cells.
20041
16 20012
17 200066
18 200070
19 199113
20 199037

About Stewart L. MacLeod

Stewart L. MacLeod is a scholar working on Rheumatology, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (13 papers), Folate and B Vitamins Research (8 papers), Prenatal Screening and Diagnostics (6 papers), Congenital Anomalies and Fetal Surgery (5 papers), Congenital heart defects research (5 papers), RNA modifications and cancer (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Glutathione Transferases and Polymorphisms (4 papers). The work is most often cited by research in Pharmacology (269 citations), Cancer Research (201 citations) and Genetics (348 citations). Stewart L. MacLeod has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Susan Nowell, Charlotte A. Hobbs, Fred F. Kadlubar, Mario A. Cleves, Nicholas P. Lang, Carol Sweeney, Christine B. Ambrosone, Stephen W. Erickson, Joshua O. Scheys and James M. Rae. Their work appears in journals such as PLoS ONE, Cancer Research and Biochemical and Biophysical Research Communications.

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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