Afroza Akhter

3.1k citations
71 papers · 1.8k indexed · 1 hit paper · h-index 23

Afroza Akhter

64 papers receiving 1.7k citations

Hit Papers

Evolution of severe acute respiratory syndrome coronaviru...3822020202620222024100200300

Peers

Afroza Akhter
Comparison fields: 5 of 151
  • Modeling and Simulation 131
  • Endocrinology, Diabetes and Metabolism 375
  • Critical Care and Intensive Care Medicine 93
  • Infectious Diseases 326
  • Emergency Medicine 156
Replace Rajvir Singh with:
Rajvir Singh Qatar
Shuchi Anand United States
Alberto Cordero Spain
Mina Tadrous Canada
Kevin Lu United States
Rishi K. Wadhera United States
Ritesh Gupta India
Eric Tchetgen Tchetgen United States
Ladan Golestaneh United States
Sebhat Erqou United States
Afroza Akhter relative to Rajvir Singh Qatar Rajvir Singh's profile →
Citations per field
00.5×4.2×
Rajvir Singh · 1×
Citations per year

Countries citing papers authored by Afroza Akhter

Since Specialization
Citations

This map shows the geographic impact of Afroza Akhter'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 Afroza Akhter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Afroza Akhter more than expected).

Fields of papers citing papers by Afroza Akhter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Afroza Akhter. 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 Afroza Akhter. The network helps show where Afroza Akhter may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Afroza Akhter, 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 Afroza Akhter Line = papers co-authored together Afroza Akhter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 202312
4 20236
5 20234
6 20230
7 202323
8 20225
9 20224
10 202265
11 202162
12 202112
13 2020221
14 20204
15 201956
16 20191
17 201826
18 201889
19 201615
20 20114

About Afroza Akhter

Afroza Akhter is a scholar working on Modeling and Simulation, Endocrinology, Diabetes and Metabolism and Geriatrics and Gerontology, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Diabetes Management and Education (13 papers), Chronic Disease Management Strategies (7 papers), Cardiac Arrest and Resuscitation (7 papers), COVID-19 Clinical Research Studies (5 papers), Respiratory Support and Mechanisms (5 papers), Diabetes Management and Research (5 papers) and COVID-19 epidemiological studies (5 papers). The work is most often cited by research in Modeling and Simulation (131 citations), Endocrinology, Diabetes and Metabolism (375 citations) and Critical Care and Intensive Care Medicine (93 citations). Afroza Akhter has collaborated with scholars based in Australia, Bangladesh and United States. Frequent co-authors include Baki Billah, Jagotamoy Das, Nizam Uddin, Tasrina Rabia Choudhury, Thamina Acter, Sunghwan Kim, Baki Billah, Ashwin Subramaniam, Dianna J. Magliano and Mohammed J. Alramadan. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Diabetes Care.

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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