Ali Chakera
Impact in
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- Diabetes Management and Research
- Diabetes Treatment and Management
- Obstetrics and Gynecology top 5%
- Gestational Diabetes Research and Management
Papers in ⓘ
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- Diabetes Management and Research 12
- Adrenal Hormones and Disorders 5
- Hormonal Regulation and Hypertension 4
-
- Gestational Diabetes Research and Management 7
- Co-authors
- Andrew T. Hattersley (13 shared papers)Sian Ellard (8 shared papers)Bijay Vaidya (6 shared papers)Beverley M. Shields (2 shared papers)Maggie Shepherd (7 shared papers)Simon H. S. Pearce (1 shared paper)Anna Steele (1 shared paper)Anna L. Gloyn (1 shared paper)
- Journals
- Diabetic Medicine (5 papers)Diabetes Care (5 papers)Clinical Medicine (3 papers)Diabetologia (3 papers)Clinical Infectious Diseases (1 paper)
- Partner nations
- United KingdomUnited StatesUganda
In The Last Decade
Ali Chakera
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Endocrinology, Diabetes and Metabolism 423
- Obstetrics and Gynecology 122
- Genetics 423
- Surgery 606
- Infectious Diseases 150
Countries citing papers authored by Ali Chakera
This map shows the geographic impact of Ali Chakera'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 Ali Chakera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Chakera more than expected).
Fields of papers citing papers by Ali Chakera
This network shows the impact of papers produced by Ali Chakera. 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 Ali Chakera. The network helps show where Ali Chakera may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Chakera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 193 | |
| 2 | 2008 | 143 | |
| 3 | 2013 | 139 | |
| 4 | 2014 | 110 | |
| 5 | 2011 | 102 | |
| 6 | 2013 | 95 | |
| 7 | Gene therapy for cystic fibrosis in humans by liposome-mediated DNA transfer: the production of resources and the regulatory process. | 1994 | 63 |
| 8 | 2016 | 61 | |
| 9 | 2018 | 37 | |
| 10 | 2020 | 35 | |
| 11 | 2012 | 34 | |
| 12 | 2010 | 33 | |
| 13 | 2017 | 26 | |
| 14 | 2018 | 21 | |
| 15 | 2017 | 14 | |
| 16 | 2010 | 11 | |
| 17 | 2009 | 11 | |
| 18 | 2011 | 11 | |
| 19 | 2020 | 8 | |
| 20 | 2020 | 7 |
About Ali Chakera
Ali Chakera is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Emergency Medicine, Virology and Genetics, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (13 papers), Diabetes Management and Research (12 papers), Gestational Diabetes Research and Management (7 papers), Diabetes and associated disorders (5 papers), Adrenal Hormones and Disorders (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Hormonal Regulation and Hypertension (4 papers) and HIV-related health complications and treatments (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (423 citations), Obstetrics and Gynecology (122 citations), Genetics (423 citations), Surgery (606 citations) and Infectious Diseases (150 citations). Ali Chakera has collaborated with scholars based in United Kingdom, United States and Uganda. Frequent co-authors include Andrew T. Hattersley, Sian Ellard, Bijay Vaidya, Beverley M. Shields, Maggie Shepherd, Simon H. S. Pearce, Anna Steele, Anna L. Gloyn, Gill Spyer and Kevin Colclough. Their work appears in journals such as Diabetic Medicine, Diabetes Care, Clinical Medicine, Diabetologia and Clinical Infectious Diseases.
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.