Md Shah Alam

988 citations
68 papers · 700 indexed · h-index 14
Topics
Tuberculosis Research and Epidemiology (6 papers)Spinal Fractures and Fixation Techniques (5 papers)Mycobacterium research and diagnosis (5 papers)

In The Last Decade

Md Shah Alam

53 papers receiving 661 citations

Peers

Md Shah Alam
Comparison fields: 5 of 123
  • Infectious Diseases 207
  • Epidemiology 143
  • Public Health, Environmental and Occupational Health 114
  • Sociology and Political Science 85
  • Clinical Psychology 80
Replace Haocheng Wu with:
Haocheng Wu China
Madiha Tariq United States
Fazle Rabbi Chowdhury Bangladesh
Abdullahi Tunde Aborode Nigeria
Beatriz Böger Brazil
Abdolkhalegh Keshavarzi Iran
Tim Boogaerts Belgium
Anna Piekarska Poland
Laura E. Power United States
Shanshan Huo China
Md Shah Alam relative to Haocheng Wu China Haocheng Wu's profile →
Citations per field
00.5×10×20×30×35×
Haocheng Wu · 1×
Citations per year

Countries citing papers authored by Md Shah Alam

Since Specialization
Citations

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

Fields of papers citing papers by Md Shah Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Shah Alam. 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 Md Shah Alam. The network helps show where Md Shah Alam may publish in the future.

Co-authorship network of co-authors of Md Shah Alam

This figure shows the co-authorship network connecting the top 25 collaborators of Md Shah Alam. A scholar is included among the top collaborators of Md Shah Alam 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 Md Shah Alam. Md Shah Alam 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 0
3 0
4 2
5 0
6 0
7 1
8 3
9 7
10 0
11 1
12 2
13 0
14 13
15 2
16 8
17 18
18 23
19
Climatic factors influencing dengue cases in Dhaka city: a model for dengue prediction.
81
20 29

About Md Shah Alam

Md Shah Alam is a scholar working on Infectious Diseases, Molecular Medicine and Family Practice, having authored 68 papers that have together received 700 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Spinal Fractures and Fixation Techniques (5 papers) and Mycobacterium research and diagnosis (5 papers). The work is most often cited by research in Infectious Diseases (207 citations), Modeling and Simulation (32 citations) and Epidemiology (143 citations). Md Shah Alam has collaborated with scholars based in Bangladesh, United States and China. Frequent co-authors include Md Nazmul Karim, Saif Ullah Munshi, M. Jamaluddin Ahmed, Masud Reza, Mohammad Abul Hossain, Tasnim Azim, Sharful Islam Khan, Rasheda Khanam, Mahmudur Rahman and Lisa G. Johnston. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Antimicrobial Agents and Chemotherapy.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026