K S Mathur

25 papers receiving 395 citations

Peers

K S Mathur
Comparison fields: 5 of 69
  • Cardiology and Cardiovascular Medicine 133
  • Pulmonary and Respiratory Medicine 126
  • Surgery 110
  • Endocrinology, Diabetes and Metabolism 94
  • Epidemiology 62
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Sanjay Sarin India
J. L. Gross Brazil
Ana Lúcia Gut Brazil
G Lahnborg Sweden
Carmelo Giordano Italy
Kyung Won Shim South Korea
Alexa N. Sasson Canada
Mitsuhiko Katsurada Japan
Emmanouil Korakas Greece
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Citations per field
00.5×
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Citations per year

Countries citing papers authored by K S Mathur

Since Specialization
Citations

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

Fields of papers citing papers by K S Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K S Mathur. 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 K S Mathur. The network helps show where K S Mathur may publish in the future.

Co-authorship network of co-authors of K S Mathur

This figure shows the co-authorship network connecting the top 25 collaborators of K S Mathur. A scholar is included among the top collaborators of K S Mathur based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K S Mathur. K S Mathur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 19
2 29
3 13
4
Relationship of circulating antisynovial antibodies with clinical joint involvement--a follow up study in cases of rheumatic fever and rheumatic heart disease.
1
5 7
6 98
7
Distribution and severity of atherosclerosis of aorta, coronary and cerebral arteries in persons dying without morphologic evidence of atherosclerotic catastrophe in North India. A study of 900 autopsies.
6
8
NATURAL HISTORY OF CEREBRAL ATHEROSCLEROSIS.
1
9 37
10 1
11 94
12
Studies on serum cholesterol of clinically healthy adults at Agra.
2
13 31
14
Serum lipids in hypertension.
1
15
Effect of Indian dietary fats on blood coagulability and serum lipids in normals and in cases of myocardial infarction.
4
16 20
17 17
18 17
19
Dietary fats, serum cholesterol and serum lipid phosphorus in different socio-economic groups in Uttar Pradesh.
6
20 10

About K S Mathur

K S Mathur is a scholar working on Cardiology and Cardiovascular Medicine, Dermatology and Health Information Management, having authored 27 papers that have together received 473 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (5 papers), Cardiovascular Disease and Adiposity (3 papers) and Pleural and Pulmonary Diseases (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (133 citations), Endocrinology, Diabetes and Metabolism (94 citations) and Pulmonary and Respiratory Medicine (126 citations). K S Mathur has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Rakesh Sharma, Vineet Kumar, Surekha Kashyap, Muhammad Ammar Khan, Sharad S. Singhal, John Coakley, Ivan Francis, John F. Connelly, Rory Wolfe and Anne L. Rickards. Their work appears in journals such as Circulation, Journal of Nutrition and The American Journal of Cardiology.

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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