Ali Chakera

2.3k citations
40 papers · 1.2k indexed · h-index 15

Impact in

Papers in

Ali Chakera

34 papers receiving 1.1k citations

Peers

Ali Chakera
Comparison fields: 5 of 101
  • Endocrinology, Diabetes and Metabolism 423
  • Obstetrics and Gynecology 122
  • Genetics 423
  • Surgery 606
  • Infectious Diseases 150
Replace Chunlin Wang with:
Chunlin Wang China
Antti Kupila Finland
Paula Vieira Teixeira Vidigal Brazil
Xin Long China
Soraya Allas United States
P Drouin Canada
Ryuichi Sakamoto Japan
Didier Chevenne France
Suhua Li China
Ali Chakera relative to Chunlin Wang China Chunlin Wang's profile →
Citations per field
00.5×5.8×
Chunlin Wang · 1×
Citations per year

Countries citing papers authored by Ali Chakera

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ali Chakera Line = papers co-authored together Ali Chakera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015193
2 2008143
3 2013139
4 2014110
5 2011102
6 201395
7
Gene therapy for cystic fibrosis in humans by liposome-mediated DNA transfer: the production of resources and the regulatory process.
199463
8 201661
9 201837
10 202035
11 201234
12 201033
13 201726
14 201821
15 201714
16 201011
17 200911
18 201111
19 20208
20 20207

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.

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