Vedika Rathore
- Infectious Diseases
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Surgery
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Roshan Kumar MahatNeelima SinghSuchismita PandaManisha AroraGregory Y.H. LipRakesh Kumar ShahSanjeev Kumar SinghNivedita Singh
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (6 papers)Liver Disease Diagnosis and Treatment (3 papers)Diet and metabolism studies (3 papers)
- Cited by
- Infectious DiseasesEndocrinology, Diabetes and MetabolismCardiology and Cardiovascular Medicine
- Journals
- SHILAP Revista de lepidopterologíaNutrientsPostgraduate Medical Journal
- Partner nations
- IndiaJapanUnited Kingdom
In The Last Decade
Vedika Rathore
17 papers receiving 337 citations
Peers
Comparison fields: 5 of 84
- Infectious Diseases 94
- Cardiology and Cardiovascular Medicine 81
- Epidemiology 66
- Surgery 65
- Endocrinology, Diabetes and Metabolism 61
Countries citing papers authored by Vedika Rathore
This map shows the geographic impact of Vedika Rathore'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 Vedika Rathore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vedika Rathore more than expected).
Fields of papers citing papers by Vedika Rathore
This network shows the impact of papers produced by Vedika Rathore. 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 Vedika Rathore. The network helps show where Vedika Rathore may publish in the future.
Co-authorship network of co-authors of Vedika Rathore
This figure shows the co-authorship network connecting the top 25 collaborators of Vedika Rathore. A scholar is included among the top collaborators of Vedika Rathore 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 Vedika Rathore. Vedika Rathore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 80 | |
| 7 | 38 | |
| 8 | 30 | |
| 9 | Risk Factors for Acute Myocardial Infarction: A Review | 3 |
| 10 | 12 | |
| 11 | 29 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | 9 | |
| 15 | 47 | |
| 16 | 15 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 49 |
About Vedika Rathore
Vedika Rathore is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 19 papers that have together received 342 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Liver Disease Diagnosis and Treatment (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Infectious Diseases (94 citations), Endocrinology, Diabetes and Metabolism (61 citations) and Cardiology and Cardiovascular Medicine (81 citations). Vedika Rathore has collaborated with scholars based in India, Japan and United Kingdom. Frequent co-authors include Roshan Kumar Mahat, Neelima Singh, Suchismita Panda, Manisha Arora, Gregory Y.H. Lip, Rakesh Kumar Shah, Sanjeev Kumar Singh and Nivedita Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, Nutrients and Postgraduate Medical Journal.
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.