Malcolm Robb

846 citations
12 papers · 702 · h-index 11

Impact in

    • Pulmonary Hypertension Research and Treatments
    • Neonatal Respiratory Health Research
    • Cholesterol and Lipid Metabolism
    • Congenital Diaphragmatic Hernia Studies

Papers in

Malcolm Robb

12 papers receiving 673 citations

Peers

Malcolm Robb
Comparison fields: 5 of 60
  • Pulmonary and Respiratory Medicine 279
  • Surgery 213
  • Endocrine and Autonomic Systems 31
  • Cardiology and Cardiovascular Medicine 97
  • Biochemistry 35
Replace Zoe Loomis with:
Zoe Loomis United States
Ulrike Niesler Germany
Martin Hussey United Kingdom
Yoshiteru Morio Japan
Sarah L. Trinder United Kingdom
Hsienwie Lu United States
Yi-Xin Wang United States
Mar Orriols Spain
Guillaume Gary‐Bobo France
Malcolm Robb relative to Zoe Loomis United States Zoe Loomis's profile →
Citations per field
00.5×2.7×
Zoe Loomis · 1×
Citations per year

Countries citing papers authored by Malcolm Robb

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Robb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2003142
2 2004119
3 200679
4 200679
5 199562
6 199946
7 199844
8 199543
9 199938
10 200531
11 199811
12 20068

About Malcolm Robb

Malcolm Robb is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Physiology and Surgery, having authored 12 papers that have together received 702 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Adipose Tissue and Metabolism (3 papers), Fatty Acid Research and Health (2 papers), Pharmacological Effects and Assays (2 papers), Cancer, Lipids, and Metabolism (2 papers), Cholesterol and Lipid Metabolism (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (279 citations), Surgery (213 citations), Endocrine and Autonomic Systems (31 citations), Cardiology and Cardiovascular Medicine (97 citations) and Biochemistry (35 citations). Malcolm Robb has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Duncan J. Stewart, Ruth McPherson, Yidan Zhao, Andrew Campbell, Douglas Ng, Robin N. N. Han, Benoit R. Gauthier, T. Radeau, Paulina Lau and Cameron Ackerley. Their work appears in journals such as Journal of Lipid Research, Circulation Research, Atherosclerosis, Journal of Thoracic and Cardiovascular Surgery and CHEST Journal.

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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