Keerthi Mohan
Impact in
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
- Epidemiology top 10%
- Acute Ischemic Stroke Management
Papers in
-
- Acute Ischemic Stroke Management 2
- Cytomegalovirus and herpesvirus research 1
-
- Escherichia coli research studies 3
- Co-authors
- Charles Wolfe (2 shared papers)Andrew P. Grieve (1 shared paper)Peter U. Heuschmann (1 shared paper)Peter L. Kolominsky‐Rabas (1 shared paper)Anthony Rudd (1 shared paper)Anita Sheldenkar (1 shared paper)Siobhan Crichton (1 shared paper)Luis Ayerbe (1 shared paper)
- Journals
- Stroke (2 papers)Journal of Medical Microbiology (1 paper)Medical Teacher (1 paper)European Journal of Public Health (1 paper)Sexually Transmitted Infections (1 paper)
- Partner nations
- United KingdomGermanyItaly
In The Last Decade
Keerthi Mohan
7 papers receiving 813 citations
Keerthi Mohan's Hit Papers
Peers
Comparison fields: 5 of 89
- Rehabilitation 121
- Epidemiology 361
- Endocrinology 29
- Cardiology and Cardiovascular Medicine 98
- Internal Medicine 15
Countries citing papers authored by Keerthi Mohan
This map shows the geographic impact of Keerthi Mohan'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 Keerthi Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keerthi Mohan more than expected).
Fields of papers citing papers by Keerthi Mohan
This network shows the impact of papers produced by Keerthi Mohan. 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 Keerthi Mohan. The network helps show where Keerthi Mohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Keerthi Mohan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Risk and Cumulative Risk of Stroke Recurrence Hit paper breakdown → | 2011 | 483 |
| 2 | 2012 | 283 | |
| 3 | 2017 | 23 | |
| 4 | 2019 | 18 | |
| 5 | 2016 | 15 | |
| 6 | 2018 | 7 | |
| 7 | 2020 | 3 | |
| 8 | 2014 | 0 |
About Keerthi Mohan
Keerthi Mohan is a scholar working on Epidemiology, Endocrinology, Infectious Diseases, General Health Professions and Surgery, having authored 8 papers that have together received 832 indexed citations. Recurring topics across this work include Escherichia coli research studies (3 papers), Acute Ischemic Stroke Management (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Viral gastroenteritis research and epidemiology (1 paper), Public Health Policies and Education (1 paper), Healthcare Systems and Challenges (1 paper), Infectious Diseases and Tuberculosis (1 paper) and Primary Care and Health Outcomes (1 paper). The work is most often cited by research in Rehabilitation (121 citations), Epidemiology (361 citations), Endocrinology (29 citations), Cardiology and Cardiovascular Medicine (98 citations) and Internal Medicine (15 citations). Keerthi Mohan has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Charles Wolfe, Andrew P. Grieve, Peter U. Heuschmann, Peter L. Kolominsky‐Rabas, Anthony Rudd, Anita Sheldenkar, Siobhan Crichton, Luis Ayerbe, Christopher McKevitt and Juliet Addo. Their work appears in journals such as Stroke, Journal of Medical Microbiology, Medical Teacher, European Journal of Public Health and Sexually Transmitted Infections.
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.