S. Majumdar

82 papers receiving 1.2k citations

Peers

S. Majumdar
Comparison fields: 5 of 114
  • Reproductive Medicine 313
  • Molecular Biology 218
  • Pulmonary and Respiratory Medicine 210
  • Physiology 181
  • Public Health, Environmental and Occupational Health 167
Replace Tetsuo Yamada with:
Tetsuo Yamada Japan
Caihong Zheng China
Luyao Zhang China
Cumhur Gündüz Türkiye
Yuh‐Cheng Yang Taiwan
Carani B. Sanjeevi Sweden
P Owen United Kingdom
Nancy P. Y. Chung United States
Weidong Fei China
S. Majumdar relative to Tetsuo Yamada Japan Tetsuo Yamada's profile →
Citations per field
00.5×4.6×
Tetsuo Yamada · 1×
Citations per year

Countries citing papers authored by S. Majumdar

Since Specialization
Citations

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

Fields of papers citing papers by S. Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Majumdar

This figure shows the co-authorship network connecting the top 25 collaborators of S. Majumdar. A scholar is included among the top collaborators of S. Majumdar 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 S. Majumdar. S. Majumdar 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 1
4 1
5 2
6 66
7 77
8 6
9 25
10 9
11
IL-4 and IL-5 mRNA in the bronchial wall of smokers
1
12 23
13 8
14 30
15 9
16 7
17 7
18
Kinetics of cholesterol movement between liposomes and intestinal brush border membrane vesicles.
5
19
Foetal lung maturation in twin gestation.
1
20
Nutritional evaluation of fractionated randomised palm oil and vanaspati.
1

About S. Majumdar

S. Majumdar is a scholar working on Reproductive Medicine, Clinical Biochemistry and Pediatrics, Perinatology and Child Health, having authored 87 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (11 papers), Sperm and Testicular Function (6 papers) and Drug Transport and Resistance Mechanisms (5 papers). The work is most often cited by research in Reproductive Medicine (313 citations), Obstetrics and Gynecology (84 citations) and Renewable Energy, Sustainability and the Environment (113 citations). S. Majumdar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Pramit K. Chowdhury, A. B. Kay, May Azzawi, Syed Asim Ali, Peter K. Jeffery, Tokeer Ahmad, Norah Alhokbany, Archana Bhatnagar, Kala Vasishta and D. K. Bhattacharyya. Their work appears in journals such as The Journal of Physical Chemistry B, The Journal of Physical Chemistry C and Journal of Materials Chemistry A.

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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