Narayan Lath

14 papers receiving 348 citations

Peers

Narayan Lath
Comparison fields: 5 of 48
  • Endocrinology, Diabetes and Metabolism 54
  • Neurology 23
  • Clinical Biochemistry 14
  • Radiology, Nuclear Medicine and Imaging 64
  • Neurology 40
Replace Amogh N. Hegde with:
Amogh N. Hegde Singapore
Lauren T. Phillips United States
Betül Emine Derinkuyu Türkiye
J L Nivelon France
Maria Grazia Caprio Italy
Steven J. Goldstein United States
Nidaa Mikaïl France
Marcelo Derbli Schafranski Brazil
Chang‐Soon Koh South Korea
Harold Moses United States
Narayan Lath relative to Amogh N. Hegde Singapore Amogh N. Hegde's profile →
Citations per field
00.5×1.6×
Amogh N. Hegde · 1×
Citations per year

Countries citing papers authored by Narayan Lath

Since Specialization
Citations

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

Fields of papers citing papers by Narayan Lath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011237
2 201620
3 201620
4 201216
5 201716
6 202316
7 20078
8 20167
9 20197
10 20225
11 20173
12 20092
13 20121
14 20171
15 20250

About Narayan Lath

Narayan Lath is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 359 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (4 papers), IgG4-Related and Inflammatory Diseases (4 papers), Pluripotent Stem Cells Research (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper), Moyamoya disease diagnosis and treatment (1 paper), Abdominal vascular conditions and treatments (1 paper), Aortic Thrombus and Embolism (1 paper) and Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (54 citations), Neurology (23 citations), Clinical Biochemistry (14 citations), Radiology, Nuclear Medicine and Imaging (64 citations) and Neurology (40 citations). Narayan Lath has collaborated with scholars based in Singapore, United States and Sweden. Frequent co-authors include Amogh N. Hegde, C. C. Tchoyoson Lim, Mohan Suyash, Venkata Subbiah Katabathina, Christine O. Menias, Srinivasa R. Prasad, Leon Axel, Sooyoung Shin, Monvadi Barbara Srichai and Daniel C. Kim. Their work appears in journals such as Radiographics, Journal of cardiovascular computed tomography, npj Regenerative Medicine, Journal of Cardiovascular Magnetic Resonance and CardioVascular and Interventional Radiology.

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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