Maksuda Islam

22 papers receiving 468 citations

Peers

Maksuda Islam
Comparison fields: 5 of 58
  • Microbiology 104
  • Endocrinology 48
  • Molecular Medicine 46
  • Epidemiology 236
  • Food Science 104
Replace Hassan M. Al‐Emran with:
Hassan M. Al‐Emran Bangladesh
Rasmata Ouédraogo Burkina Faso
Idrissa Sanou Burkina Faso
M. Ruhulamin Bangladesh
Janet Strachan Australia
Christian S. Marchello United States
Luís Morais Mozambique
Ingrid Heitmann Chile
Semra Kurutepe Türkiye
Marie‐Christine Fonkoua Cameroon
Maksuda Islam relative to Hassan M. Al‐Emran Bangladesh Hassan M. Al‐Emran's profile →
Citations per field
00.5×1.5×1.9×
Hassan M. Al‐Emran · 1×
Citations per year

Countries citing papers authored by Maksuda Islam

Since Specialization
Citations

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

Fields of papers citing papers by Maksuda Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200866
2 200562
3 200961
4 199942
5 201630
6 200629
7 202026
8 201822
9 201918
10 200617
11 201817
12 201616
13 201715
14 200813
15 201811
16 201810
17 20199
18 20208
19 20065
20 20184

About Maksuda Islam

Maksuda Islam is a scholar working on Food Science, Epidemiology, Molecular Medicine, Microbiology and Infectious Diseases, having authored 22 papers that have together received 485 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (8 papers), Pneumonia and Respiratory Infections (5 papers), Antibiotic Resistance in Bacteria (3 papers), Bacterial Infections and Vaccines (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Vibrio bacteria research studies (2 papers), Neonatal and Maternal Infections (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Microbiology (104 citations), Endocrinology (48 citations), Molecular Medicine (46 citations), Epidemiology (236 citations) and Food Science (104 citations). Maksuda Islam has collaborated with scholars based in Bangladesh, United States and United Kingdom. Frequent co-authors include Samir K. Saha, Gary L. Darmstadt, Shams El Arifeen, Abdullah H Baqui, Mathuram Santosham, Aliya Naheed, Hassan M. Al‐Emran, Senjuti Saha, Derrick W. Crook and Dewan S. Billal. Their work appears in journals such as The Pediatric Infectious Disease Journal, Journal of Clinical Microbiology, Clinical Infectious Diseases, The Journal of Infectious Diseases and American Journal of Tropical Medicine and Hygiene.

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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