M. Mackness

17 papers receiving 1.2k citations

Peers

M. Mackness
Comparison fields: 5 of 98
  • Clinical Biochemistry 559
  • Endocrinology, Diabetes and Metabolism 314
  • Biochemistry 110
  • Pharmacology 76
  • Pharmacology 134
Replace Sara Deakin with:
Sara Deakin Switzerland
Jelena Vekić Serbia
Aleksandra Zeljković Serbia
Sri Venkata Madhu India
Fernando E. García‐Arroyo Mexico
Giovanni Sartore Italy
Rafel Masià Spain
E. Hägele Germany
Jamal Ahmad India
Lea Duvnjak Croatia
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Citations per year

Countries citing papers authored by M. Mackness

Since Specialization
Citations

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

Fields of papers citing papers by M. Mackness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1995293
2 1998282
3 1997174
4 1994117
5 200069
6 199164
7
Hypoxia induces HSP 70 gene expression in human hepatoma (HEP G2) cells.
199545
8 199244
9 199838
10
Oxygen regulation of TGF-beta 1 mRNA in human hepatoma (Hep G2) cells.
199430
11 199229
12 198927
13 199324
14 199620
15 199316
16 19901
17
Preliminary results of a survey of lipid-related coronary risk factors in the Chinese community in greater Manchester
19921

About M. Mackness

M. Mackness is a scholar working on Surgery, Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Cancer Research and Molecular Biology, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Paraoxonase enzyme and polymorphisms (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cancer, Lipids, and Metabolism (2 papers), Cynara cardunculus studies (2 papers), Hibiscus Plant Research Studies (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Clinical Biochemistry (559 citations), Endocrinology, Diabetes and Metabolism (314 citations), Biochemistry (110 citations), Pharmacology (76 citations) and Pharmacology (134 citations). M. Mackness has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Paul N. Durrington, Bharti Mackness, Sharon Arrol, Wajdi Turkie, P.N. Durrington, Deepak Bhatnagar, Inder S. Anand, Francis Creed, Barbara Tomenson and Julian Keil. Their work appears in journals such as Atherosclerosis, Nephrology Dialysis Transplantation, Biochemical and Biophysical Research Communications, The Journal of Clinical Endocrinology & Metabolism and Clinical Endocrinology.

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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