Farzana Islam

414 citations
34 papers · 231 indexed · h-index 7
Topics
COVID-19 epidemiological studies (4 papers)Visual and Cognitive Learning Processes (3 papers)SARS-CoV-2 and COVID-19 Research (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEPhytotherapy Research

In The Last Decade

Farzana Islam

25 papers receiving 219 citations

Peers

Farzana Islam
Comparison fields: 5 of 70
  • Health 110
  • General Health Professions 81
  • Sociology and Political Science 53
  • Pediatrics, Perinatology and Child Health 35
  • Economics and Econometrics 33
Replace Marília Miranda Forte Gomes with:
Marília Miranda Forte Gomes Brazil
Diego Ramiro Fariñas Spain
Hai Gu China
Tapiwa Jhamba Uganda
Himanshu Chaurasia India
Marcos Roberto Gonzaga Brazil
Amare Muche Ethiopia
K Diallo Czechia
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Citations per field
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Marília Miranda Forte Gomes · 1×
Citations per year

Countries citing papers authored by Farzana Islam

Since Specialization
Citations

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

Fields of papers citing papers by Farzana Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farzana Islam

This figure shows the co-authorship network connecting the top 25 collaborators of Farzana Islam. A scholar is included among the top collaborators of Farzana Islam 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 Farzana Islam. Farzana Islam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 0
4 0
5 2
6 0
7 0
8 1
9 11
10 2
11 1
12 18
13 6
14 0
15 1
16 10
17 1
18
A Cross Sectional Study on Assessment of Falls in Community Dwelling Elderly of Assam
10
19
The Management of Ovarian Cancer in Bangladesh: A Report of a Long-Term Survivor
1
20 70

About Farzana Islam

Farzana Islam is a scholar working on Modeling and Simulation, Geriatrics and Gerontology and Health, having authored 34 papers that have together received 231 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Visual and Cognitive Learning Processes (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Health (110 citations), Geriatrics and Gerontology (18 citations) and Gender Studies (32 citations). Farzana Islam has collaborated with scholars based in India, Bangladesh and United States. Frequent co-authors include Sidney Ruth Schuler, Lisa M. Bates, Rashmi Agarwalla, Rambha Pathak, Meely Panda, Mitasha Singh, Shashank Agarwal, Prem Kapur, Ayan Kumar Das and Kailash Chandra. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Phytotherapy Research.

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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