Sayeda Sadia Alam

719 citations
15 papers · 423 · 1 hit paper · h-index 11

Impact in

Papers in

Sayeda Sadia Alam

15 papers receiving 411 citations

Sayeda Sadia Alam's Hit Papers

Causes of and risk factors for postpartum haemorrhage: a systematic review and meta-analysis 2025 · 19 citations
190Years since publication51015

Peers

Sayeda Sadia Alam
Comparison fields: 5 of 84
  • Infectious Diseases 87
  • Neurology 64
  • Pathology and Forensic Medicine 67
  • Modeling and Simulation 18
  • Rheumatology 40
Replace Shoumik Kundu with:
Shoumik Kundu Bangladesh
Angela Patrì Italy
Sangam Shah Nepal
Laura Gigante Italy
Sibtain Ahmed Pakistan
Nicholas J. M. Thomas United Kingdom
Cédric Fagour France
Riadh Daghfous Tunisia
Longgen Liu China
Julius Xavier Scott India
Sayeda Sadia Alam relative to Shoumik Kundu Bangladesh Shoumik Kundu's profile →
Citations per field
00.5×2×4×6×7.4×
Shoumik Kundu · 1×
Citations per year

Countries citing papers authored by Sayeda Sadia Alam

Since Specialization
Citations

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

Fields of papers citing papers by Sayeda Sadia Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201997
2 202065
3 202163
4 202240
5 202326
6 202026
7 202326
8
Causes of and risk factors for postpartum haemorrhage: a systematic review and meta-analysis
Hit paper breakdown →
202519
9 201917
10 202316
11 202412
12 20227
13 20244
14 20253
15 20232

About Sayeda Sadia Alam

Sayeda Sadia Alam is a scholar working on Infectious Diseases, Rheumatology, Neurology, Pathology and Forensic Medicine and Genetics, having authored 15 papers that have together received 423 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (3 papers), COVID-19 Clinical Research Studies (2 papers), Maternal and fetal healthcare (2 papers), Long-Term Effects of COVID-19 (2 papers), Vitamin D Research Studies (2 papers), Multiple Sclerosis Research Studies (1 paper), Ocular Diseases and Behçet’s Syndrome (1 paper) and Livestock and Poultry Management (1 paper). The work is most often cited by research in Infectious Diseases (87 citations), Neurology (64 citations), Pathology and Forensic Medicine (67 citations), Modeling and Simulation (18 citations) and Rheumatology (40 citations). Sayeda Sadia Alam has collaborated with scholars based in Bangladesh, United Kingdom and United States. Frequent co-authors include Md Asiful Islam, Shoumik Kundu, Tareq Hossan, Rosline Hassan, Mohammad Amjad Kamal, Przemysław Jacek Kotyla, Shahad Saif Khandker, Cinzia Cavestro, Shabiha Sultana and Faruque Reza. Their work appears in journals such as PLoS ONE, The Lancet, Journal of Clinical Medicine, Frontiers in Neurology and Antibodies.

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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