Ramkumar Krishnamurthy

1.8k citations
47 papers · 1.2k · h-index 19

Impact in

Papers in

Ramkumar Krishnamurthy

42 papers receiving 1.2k citations

Peers

Ramkumar Krishnamurthy
Comparison fields: 5 of 99
  • Radiology, Nuclear Medicine and Imaging 278
  • Biomaterials 150
  • Obstetrics and Gynecology 56
  • Endocrinology, Diabetes and Metabolism 110
  • Biomedical Engineering 245
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Citations per year

Countries citing papers authored by Ramkumar Krishnamurthy

Since Specialization
Citations

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

Fields of papers citing papers by Ramkumar Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010339
2 2011100
3 201189
4 201557
5 201557
6 201855
7 201653
8 201050
9 201549
10 201633
11 201230
12 201730
13 201229
14 201327
15 201426
16 201923
17 201023
18 201823
19 201618
20 201618

About Ramkumar Krishnamurthy

Ramkumar Krishnamurthy is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Epidemiology, Pulmonary and Respiratory Medicine and Surgery, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (15 papers), Cardiac Imaging and Diagnostics (7 papers), Congenital Heart Disease Studies (5 papers), Cardiac Valve Diseases and Treatments (4 papers), Aortic Disease and Treatment Approaches (3 papers), Atomic and Subatomic Physics Research (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (278 citations), Biomaterials (150 citations), Obstetrics and Gynecology (56 citations), Endocrinology, Diabetes and Metabolism (110 citations) and Biomedical Engineering (245 citations). Ramkumar Krishnamurthy has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include Raja Muthupillai, Rajesh Krishnamurthy, Lon J. Wilson, Richa Sethi, Padma Sathyanarayana, Susan L. Samson, Mandeep Bajaj, Rita E. Serda, Jeyarama S. Ananta and Loïck Moriggi. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Journal of Magnetic Resonance Imaging, Academic Radiology, The Journal of Pediatrics and Neuroradiology.

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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