Bharti Mackness

93 papers receiving 7.5k citations

Bharti Mackness's Hit Papers

Paraoxonase and Atherosclerosis 2001 · 668 citations
6680+8+16Years since publication200400600

Peers

Bharti Mackness
Comparison fields: 5 of 121
  • Clinical Biochemistry 6.0k
  • Biochemistry 1.5k
  • Pharmacology 2.1k
  • Pharmacology 853
  • Plant Science 2.9k
Replace Diana M. Shih with:
Diana M. Shih United States
Mike Mackness United Kingdom
Sharon Arrol United Kingdom
Rebecca J. Richter United States
Scott S. Billecke United States
Gianna Ferretti Italy
Tiziana Bacchetti Italy
Judit Marsillach Spain
Alejandro Gugliucci United States
Joseph L. Evans United States
Bharti Mackness relative to Diana M. Shih United States Diana M. Shih's profile →
Citations per field
00.5×1.6×
Diana M. Shih · 1×
Citations per year

Countries citing papers authored by Bharti Mackness

Since Specialization
Citations

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

Fields of papers citing papers by Bharti Mackness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Paraoxonase and Atherosclerosis
Hit paper breakdown →
2001668
2 1996382
3 2001360
4 2003355
5 1998325
6 1998282
7 1999247
8 1998233
9 2015231
10 1997182
11 1997174
12 1998164
13 2000155
14 2008154
15 2006151
16 2003147
17 2004132
18 2004132
19 2002131
20 2004125

About Bharti Mackness

Bharti Mackness is a scholar working on Clinical Biochemistry, Plant Science, Pharmacology, Biochemistry and Pharmacology, having authored 93 papers that have together received 7.8k indexed citations. Recurring topics across this work include Paraoxonase enzyme and polymorphisms (87 papers), Cynara cardunculus studies (36 papers), Apelin-related biomedical research (35 papers), Biochemical Acid Research Studies (23 papers), Hibiscus Plant Research Studies (11 papers), Pesticide Exposure and Toxicity (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Childhood Cancer Survivors' Quality of Life (5 papers). The work is most often cited by research in Clinical Biochemistry (6.0k citations), Biochemistry (1.5k citations), Pharmacology (2.1k citations), Pharmacology (853 citations) and Plant Science (2.9k citations). Bharti Mackness has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Paul N. Durrington, Michael I. Mackness, Mike Mackness, Wajdi Turkie, Sharon Arrol, M. Mackness, Jorge Joven, Jordi Camps, Judit Marsillach and David Hine. Their work appears in journals such as Atherosclerosis, Biochemical and Biophysical Research Communications, Current Opinion in Lipidology, Clinical Biochemistry and Arteriosclerosis Thrombosis and Vascular Biology.

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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