M Abu Sayeed

699 citations
26 papers · 393 indexed · h-index 9
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Liver Disease Diagnosis and Treatment (4 papers)Adipokines, Inflammation, and Metabolic Diseases (4 papers)
Journals
SHILAP Revista de lepidopterologíaDiabetes CareDiabetic Medicine

In The Last Decade

M Abu Sayeed

21 papers receiving 355 citations

Peers

M Abu Sayeed
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 205
  • Epidemiology 101
  • Public Health, Environmental and Occupational Health 66
  • Cardiology and Cardiovascular Medicine 65
  • Organizational Behavior and Human Resource Management 53
Replace Sumedha Wijeratne with:
Sumedha Wijeratne Sri Lanka
Tasnima Siddiquee Norway
Mahen Wijesuriya United Kingdom
Lisa R. Staimez United States
Anbazhagan Ganesan India
Usha Shrivastava India
Pamela M Pelizzari United States
Deksha Kapoor India
R. Sheriff Sri Lanka
F. Djrolo Benin
M Abu Sayeed relative to Sumedha Wijeratne Sri Lanka Sumedha Wijeratne's profile →
Citations per field
00.5×1.6×
Sumedha Wijeratne · 1×
Citations per year

Countries citing papers authored by M Abu Sayeed

Since Specialization
Citations

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

Fields of papers citing papers by M Abu Sayeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Abu Sayeed

This figure shows the co-authorship network connecting the top 25 collaborators of M Abu Sayeed. A scholar is included among the top collaborators of M Abu Sayeed 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 Abu Sayeed. M Abu Sayeed 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 2
6 0
7
Pvevalence of hypertension in people living in coastal areas of Bangladesh
1
8 14
9 3
10 2
11 8
12 31
13 3
14 39
15 31
16 110
17 6
18 5
19 3
20 9

About M Abu Sayeed

M Abu Sayeed is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology and Organizational Behavior and Human Resource Management, having authored 26 papers that have together received 393 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Liver Disease Diagnosis and Treatment (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (205 citations), Organizational Behavior and Human Resource Management (53 citations) and Obstetrics and Gynecology (37 citations). M Abu Sayeed has collaborated with scholars based in Bangladesh, Indonesia and United Arab Emirates. Frequent co-authors include Hajera Mahtab, Parvin Akter Khanam, Liaquat Ali, AKA Khan, M.A.K. Rumi, A. K. Azad Khan, S Ali, Bo Åhrén, Rahima Begum and Md. Nahiduzzaman. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes Care and Diabetic 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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