Mahima Khatri
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Molecular Biology
- Epidemiology
- Co-authors
- Satesh KumarGiustino VarrassiTamam MohamadMaham KashifFnu SapnaLakshya KumarTirath PatelEjaz Ahmad Khan
- Topics
- Diabetes Treatment and Management (9 papers)Atrial Fibrillation Management and Outcomes (6 papers)Heart Failure Treatment and Management (5 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineHealth Informatics
- Journals
- CirculationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- PakistanItalyUnited States
In The Last Decade
Mahima Khatri
60 papers receiving 986 citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Endocrinology, Diabetes and Metabolism 288
- Cardiology and Cardiovascular Medicine 276
- Surgery 200
- Molecular Biology 150
- Epidemiology 115
Countries citing papers authored by Mahima Khatri
This map shows the geographic impact of Mahima Khatri'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 Mahima Khatri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahima Khatri more than expected).
Fields of papers citing papers by Mahima Khatri
This network shows the impact of papers produced by Mahima Khatri. 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 Mahima Khatri. The network helps show where Mahima Khatri may publish in the future.
Co-authorship network of co-authors of Mahima Khatri
This figure shows the co-authorship network connecting the top 25 collaborators of Mahima Khatri. A scholar is included among the top collaborators of Mahima Khatri 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 Mahima Khatri. Mahima Khatri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 20 | |
| 8 | 2 | |
| 9 | 18 | |
| 10 | 1 | |
| 11 | 20 | |
| 12 | 17 | |
| 13 | 63 | |
| 14 | 1 | |
| 15 | 21 | |
| 16 | 13 | |
| 17 | 8 | |
| 18 | 38 | |
| 19 | 1 | |
| 20 | 10 |
About Mahima Khatri
Mahima Khatri is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Anesthesiology and Pain Medicine, having authored 67 papers that have together received 1.0k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), Atrial Fibrillation Management and Outcomes (6 papers) and Heart Failure Treatment and Management (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (288 citations), Cardiology and Cardiovascular Medicine (276 citations) and Health Informatics (8 citations). Mahima Khatri has collaborated with scholars based in Pakistan, Italy and United States. Frequent co-authors include Satesh Kumar, Giustino Varrassi, Tamam Mohamad, Maham Kashif, Fnu Sapna, Lakshya Kumar, Tirath Patel, Ejaz Ahmad Khan, Muhammad Zaeem Noman and Muhammad Ali Muzammil. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.
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.