Melissa E. MacDonald

717 citations
22 papers · 528 · h-index 13

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 5
    • Lipoproteins and Cardiovascular Health 5
    • Parathyroid Disorders and Treatments 4
    • Chronic Kidney Disease and Diabetes 4

Melissa E. MacDonald

22 papers receiving 522 citations

Peers

Melissa E. MacDonald
Comparison fields: 5 of 72
  • Biochemistry 35
  • Immunology 92
  • Surgery 176
  • Epidemiology 134
  • Cancer Research 57
Replace Jingmei Song with:
Jingmei Song China
Jiangyang Chi China
Meixiu Jiang China
Mike L. J. Jeurissen Netherlands
Jiahong Xue China
Mamoru Ikemoto Japan
Xuguang Hu China
David Meriwether United States
Makoto Sasaki Japan
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Melissa E. MacDonald relative to Jingmei Song China Jingmei Song's profile →
Citations per field
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Citations per year

Countries citing papers authored by Melissa E. MacDonald

Since Specialization
Citations

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

Fields of papers citing papers by Melissa E. MacDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa E. MacDonald. 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 Melissa E. MacDonald. The network helps show where Melissa E. MacDonald may publish in the future.

Co-authors

The 25 scholars most cited alongside Melissa E. MacDonald, 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 Melissa E. MacDonald Line = papers co-authored together Melissa E. MacDonald 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 201967
2 202264
3 202062
4 201359
5 201456
6 201949
7 201728
8 202223
9 201722
10 201921
11 202115
12 202214
13 202012
14 201812
15 20237
16 20216
17 20233
18 20232
19 20232
20 20242

About Melissa E. MacDonald

Melissa E. MacDonald is a scholar working on Surgery, Nephrology, Epidemiology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 22 papers that have together received 528 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Cholesterol and Lipid Metabolism (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Parathyroid Disorders and Treatments (4 papers), Chronic Kidney Disease and Diabetes (4 papers), Renal and related cancers (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Biochemistry (35 citations), Immunology (92 citations), Surgery (176 citations), Epidemiology (134 citations) and Cancer Research (57 citations). Melissa E. MacDonald has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Richard C. Austin, Bernardo L. Trigatti, Suleiman A. Igdoura, Paul Lebeau, Khrystyna Platko, Jae Hyun Byun, Nabil G. Seidah, Elizabeth White, Yi Zhang and Kenneth N. Maclean. Their work appears in journals such as Journal of Biological Chemistry, Arteriosclerosis Thrombosis and Vascular Biology, Scientific Reports, Frontiers in Physiology and Cell Death and Disease.

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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