Shoumen Lasker

516 citations
7 papers · 402 indexed · h-index 6
Topics
Liver Disease Diagnosis and Treatment (2 papers)Diabetes Treatment and Management (2 papers)Cholesterol and Lipid Metabolism (1 paper)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsNaunyn-Schmiedeberg s Archives of Pharmacology

In The Last Decade

Shoumen Lasker

7 papers receiving 400 citations

Peers

Shoumen Lasker
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 149
  • Molecular Biology 104
  • Physiology 96
  • Surgery 85
  • Epidemiology 84
Replace Zhigang Xu with:
Zhigang Xu China
Magadi Gopalakrishna Sridhar India
Mohammad Dallak Saudi Arabia
Guoguang Wang China
Kirtikar Shukla United States
Abhishek Sehrawat India
Linlin Li China
Raeesa A. Mohamad Saudi Arabia
Qiang Jia China
Sonia Sifuentes-Franco Mexico
Shoumen Lasker relative to Zhigang Xu China Zhigang Xu's profile →
Citations per field
00.5×3.2×
Zhigang Xu · 1×
Citations per year

Countries citing papers authored by Shoumen Lasker

Since Specialization
Citations

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

Fields of papers citing papers by Shoumen Lasker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoumen Lasker

This figure shows the co-authorship network connecting the top 25 collaborators of Shoumen Lasker. A scholar is included among the top collaborators of Shoumen Lasker 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 Shoumen Lasker. Shoumen Lasker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 28
2 88
3 14
4 87
5 6
6 177
7 2

About Shoumen Lasker

Shoumen Lasker is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Endocrine and Autonomic Systems, having authored 7 papers that have together received 402 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (2 papers), Diabetes Treatment and Management (2 papers) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (149 citations), Pharmacology (37 citations) and Physiology (96 citations). Shoumen Lasker has collaborated with scholars based in Bangladesh, United States and United Kingdom. Frequent co-authors include Md Mizanur Rahman, Md Ashraful Alam, Nusrat Subhan, Fariha Kabir, Ferdous Khan, Kamrun Nahar, Raquibul Hasan, Ahasanul Hasan, Gias U. Ahsan and Sohel Rana. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Naunyn-Schmiedeberg s Archives of Pharmacology.

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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