John Baksi

1.3k citations
28 papers · 911 · 1 hit paper · h-index 11

Impact in

Papers in

John Baksi

26 papers receiving 895 citations

John Baksi's Hit Papers

Large-scale genome-wide association analyses identify novel genetic loci and mechanisms in hypertrophic cardiomyopathy 2025 · 31 citations
310Years since publication102030

Peers

John Baksi
Comparison fields: 5 of 51
  • Cardiology and Cardiovascular Medicine 661
  • Radiology, Nuclear Medicine and Imaging 71
  • Developmental Neuroscience 12
  • Genetics 30
  • Molecular Biology 185
Replace Julián Palomino-Doza with:
Julián Palomino-Doza Spain
Lisa M. Dellefave‐Castillo United States
Xusto Fernández Spain
Annapaola Cirillo Italy
Rita Hill United States
Francesca Brun Italy
Marta Gigli Italy
Michele Lioncino Italy
Christopher R. Bartley United States
Juan Pablo Ochoa Spain
John Baksi relative to Julián Palomino-Doza Spain Julián Palomino-Doza's profile →
Citations per field
00.5×5×10×15×21.7×
Julián Palomino-Doza · 1×
Citations per year

Countries citing papers authored by John Baksi

Since Specialization
Citations

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

Fields of papers citing papers by John Baksi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015382
2 2009138
3 201180
4 201850
5 201947
6 202436
7 202432
8
Large-scale genome-wide association analyses identify novel genetic loci and mechanisms in hypertrophic cardiomyopathy
Hit paper breakdown →
202531
9 202224
10 202524
11 201417
12 20199
13 20247
14 20245
15 20124
16 20244
17 20234
18 20253
19 20173
20 20203

About John Baksi

John Baksi is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Physiology, Molecular Biology and Genetics, having authored 28 papers that have together received 911 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (8 papers), Sarcoidosis and Beryllium Toxicity Research (5 papers), Cardiac Imaging and Diagnostics (5 papers), Congenital heart defects research (4 papers), Cardiovascular Function and Risk Factors (3 papers), RNA Research and Splicing (3 papers), Cardiovascular Effects of Exercise (2 papers) and Pericarditis and Cardiac Tamponade (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (661 citations), Radiology, Nuclear Medicine and Imaging (71 citations), Developmental Neuroscience (12 citations), Genetics (30 citations) and Molecular Biology (185 citations). John Baksi has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Iqbal Saeed Malik, Rodney A. Foale, Dárrel P. Francis, Alun D. Hughes, Kim H. Parker, Jamil Mayet, Justine Ina Davies, Nearchos Hadjiloizou, Zachary I. Whinnett and Jazmín Aguado‐Sierra. Their work appears in journals such as Nature Genetics, European Heart Journal, Journal of the American College of Cardiology, Circulation and Clinical Medicine.

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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