Rekha Garg
- Cardiology and Cardiovascular Medicine top 1%
- Epidemiology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Salim YusufPierre‐François LaterreHoward LevyBenjamin TrzaskomaWilliam L. MaciasBarbara G. UtterbackÁlvaro Réa-NetoBertram Pitt
- Topics
- Heart Failure Treatment and Management (14 papers)Parathyroid Disorders and Treatments (7 papers)Cardiovascular Function and Risk Factors (7 papers)
- Cited by
- Cardiology and Cardiovascular MedicineFamily PracticeCritical Care and Intensive Care Medicine
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Rekha Garg
41 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Cardiology and Cardiovascular Medicine 1.4k
- Epidemiology 692
- Pulmonary and Respiratory Medicine 329
- Surgery 327
- Endocrinology, Diabetes and Metabolism 245
Countries citing papers authored by Rekha Garg
This map shows the geographic impact of Rekha Garg'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 Rekha Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rekha Garg more than expected).
Fields of papers citing papers by Rekha Garg
This network shows the impact of papers produced by Rekha Garg. 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 Rekha Garg. The network helps show where Rekha Garg may publish in the future.
Co-authorship network of co-authors of Rekha Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Rekha Garg. A scholar is included among the top collaborators of Rekha Garg 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 Rekha Garg. Rekha Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 104 | |
| 3 | 28 | |
| 4 | 32 | |
| 5 | 27 | |
| 6 | Drotrecogin Alfa (Activated) for Adults with Severe Sepsis and a Low Risk of Deathbreakdown → | 567 |
| 7 | 99 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 9 | |
| 12 | 33 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 40 | |
| 16 | 16 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 138 | |
| 20 | 50 |
About Rekha Garg
Rekha Garg is a scholar working on Health Informatics, Nephrology and Family Practice, having authored 42 papers that have together received 2.5k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (14 papers), Parathyroid Disorders and Treatments (7 papers) and Cardiovascular Function and Risk Factors (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Family Practice (109 citations) and Critical Care and Intensive Care Medicine (225 citations). Rekha Garg has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Salim Yusuf, Pierre‐François Laterre, Howard Levy, Benjamin Trzaskoma, William L. Macias, Barbara G. Utterback, Álvaro Réa-Neto, Bertram Pitt, Edward Abraham and Bruno François. Their work appears in journals such as New England Journal of Medicine, JAMA and Circulation.
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.