Nazmul Islam

2.1k citations
56 papers · 639 indexed · h-index 13

Nazmul Islam

48 papers receiving 625 citations

Peers

Nazmul Islam
Comparison fields: 5 of 110
  • Nutrition and Dietetics 157
  • Obstetrics and Gynecology 63
  • Infectious Diseases 86
  • Health Informatics 6
  • Endocrinology, Diabetes and Metabolism 74
Replace Roberto José Negrão Nogueira with:
Roberto José Negrão Nogueira Brazil
Payal Kahar United States
Dhuly Chowdhury United States
Fatemeh Hosseinzadeh Iran
Shilpa Gaidhane India
Keith Tomlin United Kingdom
Saeed M G Al-Ghamdi Saudi Arabia
Bianca de Almeida-Pititto Brazil
Maria Micillo Italy
Fiona Regan United Kingdom
Nazmul Islam relative to Roberto José Negrão Nogueira Brazil Roberto José Negrão Nogueira's profile →
Citations per field
00.5×3.5×
Roberto José Negrão Nogueira · 1×
Citations per year

Countries citing papers authored by Nazmul Islam

Since Specialization
Citations

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

Fields of papers citing papers by Nazmul Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202411
3 20241
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11 202231
12 20229
13 202211
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15 20214
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18 2020154
19
Estimation of the Prevalence of Knee Osteoarthritis and its Impacts On Quality of Life in Rural Bangladesh
20143
20
Fructosamine: an alternative assessment of past glycaemic control in developing countries.
199313

About Nazmul Islam

Nazmul Islam is a scholar working on Infectious Diseases, Otorhinolaryngology and Health Information Management, having authored 56 papers that have together received 639 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Diet and metabolism studies (3 papers), COVID-19 and Mental Health (3 papers), Reproductive Health and Contraception (3 papers), Mosquito-borne diseases and control (3 papers), COVID-19 Clinical Research Studies (3 papers), Travel-related health issues (2 papers) and Allergic Rhinitis and Sensitization (2 papers). The work is most often cited by research in Nutrition and Dietetics (157 citations), Obstetrics and Gynecology (63 citations) and Infectious Diseases (86 citations). Nazmul Islam has collaborated with scholars based in Qatar, Bangladesh and Australia. Frequent co-authors include Lukman Thalib, Amer Alsaied, Luis Furuya‐Kanamori, Natalie E. Sheils, Suhail A.R. Doi, Niyaz R Gosmanov, Stephen Welle, Jean M. Dostou, Christian Meyer and Steven D. Wittlin. Their work appears in journals such as BMJ Open, Scientific Reports, JAMA Network Open, Nature Communications and Journal of Evidence-Based Medicine.

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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