M N Islam

57 papers receiving 411 citations

Peers

M N Islam
Comparison fields: 5 of 104
  • Public Health, Environmental and Occupational Health 89
  • Epidemiology 80
  • Infectious Diseases 80
  • Pediatrics, Perinatology and Child Health 66
  • Nutrition and Dietetics 54
Replace Kankoé Sallah with:
Kankoé Sallah France
Shah India
Núria Díez‐Padrisa Spain
Shun-Xian Zhang China
Anil Rawat India
Shivam Pandey India
Charles A. Anderson United States
Shintaro Yanagimoto Japan
Samson Gwer Kenya
Yoshihiko Ogawa Japan
M N Islam relative to Kankoé Sallah France Kankoé Sallah's profile →
Citations per field
00.5×2.8×
Kankoé Sallah · 1×
Citations per year

Countries citing papers authored by M N Islam

Since Specialization
Citations

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

Fields of papers citing papers by M N Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M N Islam

This figure shows the co-authorship network connecting the top 25 collaborators of M N Islam. A scholar is included among the top collaborators of M N 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 M N Islam. M N 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 1
2 24
3 6
4 0
5 1
6
Study of Risk Factors, Causative Organisms & Their Sensitivity Pattern in Neonatal Sepsis in a Community Based Tertiary Level Hospital.
2
7
Risk Factors and Immediate Neonatal Outcome of Multiple Pregnancies in a SCANU of A Tertiary Care Hospital, Bangladesh.
0
8
Presentation and Treatment Outcomes of 100 Lupus Nephritis Patients: Single Center Study.
2
9 3
10
Peak expiratory flow rate of normal school going children in Mymensingh municipality.
3
11 1
12 29
13
Effect of zinc on growth of preterm babies.
7
14 1
15 8
16
Diagnostic efficacy of Aldehyde test in late cases of Kala-azar.
1
17 3
18 7
19 34
20
Smoking habit among Bangladesh Secretariat staff.
5

About M N Islam

M N Islam is a scholar working on Clinical Biochemistry, Applied Microbiology and Biotechnology and Public Health, Environmental and Occupational Health, having authored 67 papers that have together received 444 indexed citations. Recurring topics across this work include Neonatal and Maternal Infections (6 papers), Sepsis Diagnosis and Treatment (6 papers) and Viral gastroenteritis research and epidemiology (5 papers). The work is most often cited by research in Infectious Diseases (80 citations), Endocrinology (18 citations) and Nutrition and Dietetics (54 citations). M N Islam has collaborated with scholars based in Bangladesh, Australia and India. Frequent co-authors include M. Anwar Hossain, Mingchu Li, Thomas A. Gennarelli, W. L. Maxwell, David I. Graham, Bonnie Aronowitz, Minhaz Ahmed, F. Wakasugi, Nobumichi Kobayashi and Dan J. Stein. Their work appears in journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and Sensors.

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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